A numerical study of submarine-landslide-generated waves and run-up

Size: px
Start display at page:

Download "A numerical study of submarine-landslide-generated waves and run-up"

Transcription

1 .98/ rspa A numerical sudy of submarine-landslide-generaed waves and run-up By Parick Lyne a n d Philip L.-F. L iu School of Civil and Environmenal Engineering, Cornell Universiy, Ihaca, NY 4853, USA Received 4 Ocober 2; acceped 8 February 22; published online 3 Sepember 22 A mahemaical model is derived o describe he generaion and propagaion of waer waves by a submarine landslide. The model consiss of a deph-inegraed coninuiy equaion and momenum equaions, in which he ground movemen is he forcing funcion. These equaions include full nonlinear, bu weak frequencydispersion, e ecs. The model is capable of describing wave propagaion from relaively deep waer o shallow waer. Simpli ed models for waves generaed by small sea oor displacemen or creeping ground movemen are also presened. A numerical algorihm is developed for he general fully nonlinear model. Comparisons are made wih a boundary inegral equaion mehod model, and a deep-waer limi for he deph-inegraed model is deermined in erms of a characerisic side lengh of he submarine mass. The imporance of nonlineariy and frequency dispersion in he wave-generaion region and on he shoreline movemen is discussed. Keywords: landslide sunamis; Boussinesq equaions; wave run-up. Inroducion In recen years, signi can advances have been made in developing mahemaical models o describe he enire process of generaion, propagaion and run-up of a sunami even (e.g. Yeh e al. 996; Geis 998). These models are based primarily on he shallow-waer wave equaions and are adequae for sunamis generaed by seismic sea oor deformaion. Since he duraion of he seismic sea oor deformaion is very shor, he waer-surface response is almos insananeous and he iniial waersurface pro le mimics he nal sea oor deformaion. The ypical wavelengh of his ype of sunami ranges from 2 o km. Therefore, frequency dispersion can be ignored in he generaion region. The nonlineariy is also usually no imporan in he generaion region, because he iniial wave ampliude is relaively small compared o he wavelengh and he waer deph. However, he frequency dispersion becomes imporan when a sunami propagaes for a long disance. Nonlineariy could also dominae as a sunami eners he run-up phase. Consequenly, a complee model ha can describe he enire process of sunami generaion, evoluion and run-up needs o consider boh frequency dispersion and nonlineariy. Tsunamis are also generaed by oher mechanisms. For example, submarine landslides have been documened as one of many possible sources for several desrucive 458, 2885{ c 22 The Royal Sociey

2 2886 P. Lyne and P. L.-F. Liu sunamis (Moore & Moore 984; von Huene e al. 989; Jiang & LeBlond 992; Tappin e al. 999; Keaing & McGuire 22). On 29 November 975, a landslide was riggered by a 7.2-magniude earhquake along he souheas coas of Hawaii. A 6 km srech of Kilauea s souh coas subsided 3.5 m and moved seaward 8 m. This landslide generaed a local sunami wih a maximum run-up heigh of 6 m a Keauhou (Cox & Morgan 977). More recenly, he devasaing Papua New Guinea sunami in 998 is hough o have been caused by a submarine landslide (Tappin e al. 999, 2; Keaing & McGuire 22). In erms of sunami-generaion mechanisms, wo signi can di erences exis beween submarine-landslide and coseismic sea oor deformaion. Firs, he duraion of a landslide is much longer and is in he order of magniude of several minues. Hence he ime-hisory of he sea oor movemen will a ec he characerisics of he generaed wave and needs o be included in he model. Secondly, he e ecive size of he landslide region is usually much smaller han he coseismic sea oor-deformaion zone. Consequenly, he ypical wavelengh of he sunamis generaed by a submarine landslide is also shorer, i.e. ca. { km. Therefore, he frequency dispersion could be imporan in he wave-generaion region. The exising numerical models based on shallow-waer wave equaions may no be suiable for modelling he enire process of submarine-landslide-generaed sunami (e.g. Raney & Buler 976; Harbiz e al. 993). In his paper, we shall presen a new model describing he generaion and propagaion of sunamis by a submarine landslide. In his general model, only he assumpion of weak frequency dispersion is employed, i.e. he raio of waer deph o wavelengh is small or O( 2 ) ½. Unil he pas decade, weakly dispersive models were formulaed in erms of a deph-averaged velociy (e.g. Peregrine 967). Recen work has clearly demonsraed ha modi caions o he frequency dispersion erms (Madsen & Sorensen 992) or expression of he model equaions in erms of an arbirarylevel velociy (Nwogu 993; Liu 994) can exend he validiy of he linear-dispersion properies ino deeper waer. The general guideline for dispersive properies is ha he `exended versions of he deph-inegraed equaions are valid for wavelenghs greaer han wo waer dephs, whereas he deph-averaged model is valid for lenghs greaer han ve waer dephs (e.g. Nwogu 993). Moreover, in he model presened in his paper, he full nonlinear e ec is included, i.e. he raio of wave ampliude o waer deph is of order one or = O(). Therefore, his new model is more general han ha developed by Liu & Earickson (983), in which he Boussinesq approximaion, i.e. O( 2 ) = O() ½, was used. In he special case where he sea oor is saionary, he new model reduces o he model for fully nonlinear and weakly dispersive waves propagaing over a varying waer deph (e.g. Liu 994; Madsen & Sch a er 998). The model is applicable for boh he impulsive slide movemen and creeping slide movemen. In he laer case, he ime duraion for he slide is much longer han he characerisic wave period. This paper is organized as follows. Governing equaions and boundary condiions for ow moions generaed by a ground movemen are summarized in he nex secion. The derivaion of approximae wo-dimensional deph-inegraed governing equaions follows. The general model equaions are hen simpli ed for special cases. A numerical algorihm is presened o solve he general mahemaical model. The numerical model is esed using available experimenal daa (e.g. Hammack 973) for one-dimensional siuaions. Employing a boundary inegral equaion model (BIEM), which solves for poenial ow in he verical plane, a deep-waer limi for waves generaed by

3 z y x Submarine-landslide-generaed waves and run-up 2887 z a h h l Figure. Basic formulaional se-up. submarine slides is deermined for he deph-inegraed model. The imporance of nonlineariy and frequency dispersion is inferred hrough numerical simulaion of a large number of di eren physical se-ups. 2. Governing equaions and boundary condiions As shown in gure, ± (x ; y ; ) denoes he free-surface displacemen of a wave rain propagaing in he waer deph h (x ; y ; ). Inroducing he characerisic waer deph h as he verical lengh-scale, he characerisic lengh of he submarine slide region ` as he horizonal lengh-scale, `= p gh as he ime-scale, and he characerisic wave ampliude a as he scale of wave moion, we can de ne he following dimensionless variables, (x; y) = (x ; y p ) ; z = z gh ; = ; ` h ` and h = h h ; ± = ± a ; p = p ga (u; v) = (u ; v ) p gh ; w = w (= ) p gh ; (2.) in which (u; v) represens he horizonal velociy componens, w he verical velociy componen, and p he pressure. Two dimensionless parameers have been inroduced in (2.), which are = a ; = h : (2.2) h Assuming ha he viscous e ecs are insigni can, he wave moion can be described by he coninuiy equaion and Euler s equaions, i.e. ` 2 r u + w z = ; (2.3) u + u ru + 2 wu z = rp; (2.4) w + 2 u rw ww z = p z ; (2.5)

4 2888 P. Lyne and P. L.-F. Liu where u = (u; v) denoes he horizonal velociy vecor, r = (@=@ y) he horizonal gradien vecor, and he subscrip he parial derivaive. On he free surface, z = ± (x; y; ), he usual kinemaic and dynamic boundary condiions apply, w = 2 (± + u r± ) on z = ± ; (2.6 a) p = : (2.6 b) Along he sea oor, z = h, he kinemaic boundary condiion requires w + 2 u rh + 2 h = on z = h: (2.7) For laer use, we noe here ha he deph-inegraed coninuiy equaion can be obained by inegraing (2.3) from z = h o z = ±. Afer applying he boundary condiions (2.6), he resuling equaion reads Z ± r u dz + h H = ; (2.8) where H = ± + h: (2.9) We remark here ha (2.8) is exac. 3. Approximae wo-dimensional governing equaions The hree-dimensional boundary-value problem described in he previous secion will be approximaed and projeced ono a wo-dimensional horizonal plane. In his secion, he nonlineariy is assumed o be of O(). However, he frequency dispersion is assumed o be weak, i.e. O( 2 ) ½ : (3.) Using 2 as he small parameer, a perurbaion analysis is performed on he primiive governing equaions. The complee derivaion is given in Appendix A. The resuling approximae coninuiy equaion is h + ± + r (Hu ) ½ 2 r H ( 6 (2 ± 2 ± h + h 2 ) 2 z2 )r(r u ) µ + ( 2 (± h) z )r r (hu ) + h ¾ = O( 4 ): (3.2) Equaion (3.2) is one of hree governing equaions for ± and u. The oher wo equaions come from he horizonal momenum equaion (2.4) and are given in vecor

5 ± Submarine-landslide-generaed waves and run-up 2889 form as u + u ru + r± 2 2 z2 r(r u ) + z r r (hu ) + h ¾ ½ 2 + r (hu ) + h r r (hu ) + h µ r r (hu ) + h + (u rz )r r (hu ) + h µ + z r u r r (hu ) + h + z (u rz )r(r u ) ¾ + 2 z2 r[u r(r u )] + 2 ½ 2 r 2 ± 2 r u ± u r r (hu ) + h + ± r (hu ) + h ¾ r u rf 2 ± 2 [(r u ) 2 u r(r u )]g = O( 4 ): (3.3) Equaions (3.2) and (3.3) are he coupled governing equaions, wrien in erms of u and ±, for fully nonlinear weakly dispersive waves generaed by a sea oor movemen. We reierae here ha u is evaluaed a z = z (x; y; ), which is a funcion of ime. The choice of z is made based on he linear frequency-dispersion characerisics of he governing equaions (e.g. Nwogu 993; Chen & Liu 995). Assuming a saionary sea oor, in order o exend he applicabiliy of he governing equaions o relaively deep waer (or a shor wave), z is recommended o be evaluaed as z = :53h. In he following analysis, he same relaionship is employed. These model equaions will be referred o as FNL-EXT, for fully nonlinear `exended equaions. Up o his poin, he ime-scale of he sea oor movemen is assumed o be in he same order of magniude as he ypical period of generaed waer wave, w = `= p gh as given in (2.). When he ground movemen is creeping in naure, he ime-scale of sea oor movemen, c, could be larger han w. The only scaling parameer ha is direcly a eced by he ime-scale of he sea oor movemen is he characerisic ampliude of he wave moion. Afer inroducing he ime-scale c ino he ime derivaives of h in he coninuiy equaion (3.2), along wih a characerisic change in waer deph h, he coe cien in fron of h becomes w ; c where = h=h. To mainain he conservaion of mass, he above parameer mus be of order one. Thus w = = l p : (3.4) c c gh The above relaionship can be inerpreed in he following way. During he creeping ground movemen, over he ime period < c he generaed wave has propagaed a disance p gh. The oal volume of he sea oor displacemen, normalized by h, is l (= c ), which should be he same as he volume of waer underneah he generaed

6 289 P. Lyne and P. L.-F. Liu wave cres, i.e. p gh. Therefore, over he ground-movemen period, < c, he wave ampliude can be esimaed by (3.4). Consequenly, nonlinear e ecs become imporan only if de ned in (3.4) is O(). Since, by he de niion of a creeping slide, he value l =( c p gh ) is always less han one, fully nonlinear e ecs will be imporan for only he larges slides. The same conclusion was reached by Hammack (973), using a di eren approach. The imporance of he fully nonlinear e ec when modelling creeping ground movemens will be esed in x8. 4. Limiing cases In his secion, he general model is furher simpli ed for di eren physical condiions. (a) Weakly nonlinear waves In many siuaions, he sea oor displacemen is relaively small in comparison wih he local deph, and he sea oor movemen can be approximaed as h(x; y; ) = h (x; y) + h(x; y; ); (4.) in which is considered o be small. In oher words, he maximum sea oor displacemen is much smaller han he characerisic waer deph. Since he free-surface displacemen is direcly proporional o he sea oor displacemen, i.e. O(± ) = O( h), or much less han he sea oor displacemen in he case of creeping ground movemens, we can furher simplify he governing equaions derived in he previous secion by allowing O() = O( ) = O( 2 ) ½ ; (4.2) which is he Boussinesq approximaion. Thus he coninuiy equaion (3.2) can be reduced o ± + r (Hu ) + h 2 r ½h ( 6 h2 µ 2 z2 )r(r u ) ( 2 h + z )r r (h u ) + ¾ h = O( 4 ; 2 ; 2 ): (4.3) The momenum equaion becomes u + u ru + r± ½ 2 z2 r(r u ) + z r r (h u ) + ¾ h = O( 4 ; 2 ; 2 ): (4.4) These model equaions will be referred o as WNL-EXT, for weakly nonlinear `exended equaions. The linear version of he above will also be used in he following analysis, and will be referred o as L-EXT, for linear `exended equaions. I is also possible o express he approximae coninuiy and momenum equaions in erms of a deph-averaged velociy. The deph-averaged equaions can be derived using he same mehod presened in Appendix A. One version of he deph-averaged

7 Submarine-landslide-generaed waves and run-up 289 equaions will be employed in fuure secions, which is subjec o he resrain (4.2), and is given as ± + r (H u) + h = (4.5) and u + u r u + r± ½ 2 h2 r(r u) where he deph-averaged velociy is de ned as 6 h r r (h u) + ¾ h = O( 4 ; 2 ; 2 ); (4.6) u(x; y; ) = h + ± Z ± h u(x; y; z; ) dz: (4.7) This se of model equaions (4.5) and (4.6) will be referred o as WNL-DA, for weakly nonlinear deph-averaged equaions. (b) Nonlinear shallow-waer waves In he case ha he waer deph is very shallow or he wavelengh is very long, he governing equaions (3.2) and (3.3) can be runcaed a O( 2 ). These resuling equaions are he well-known nonlinear shallow-waer equaions in which he sea oor movemen is he forcing erm for wave generaion. This se of equaions will be referred o as NL-SW, for nonlinear shallow-waer equaions. 5. Numerical model In his paper, a nie-di erence algorihm is presened for he general model equaions, FNL-EXT. This model has he robusness of enabling slide-generaed surface waves, alhough iniially linear or weakly nonlinear in naure, o propagae ino shallow waer, where fully nonlinear e ecs may become imporan. The algorihm is developed for he general wo-horizonal-dimension problem; however, in his paper, only one-horizonal-dimension examples are examined. The srucure of he presen numerical model is similar o hose of Wei & Kirby (995) and Wei e al. (995). Di erences beween he model presened here and ha of Wei e al. exis in he added erms due o a ime-dependen waer deph and he numerical reamen of some nonlinear-dispersive erms, which is discussed in more deail in Appendix B. A high-order predicor-correcor scheme is used, employing a hird order in ime explici Adams{Bashforh predicor sep, and a fourh order in ime Adams{Moulon implici correcor sep (Press e al. 989). The implici correcor sep mus be ieraed unil a convergence crierion is sais ed. All spaial derivaives are di erenced o fourh-order accuracy, yielding a model ha is numerically accurae o ( x) 4, ( y) 4 in space and ( ) 4 in ime. The governing equaions (3.2) and (3.3) are dimensionalized for he numerical model, and all variables described in his and following secions will be in he dimensional form. Noe ha he dimensional equaions are equivalen o he non-dimensional ones wih = = and he addiion of graviy, g, o he coe cien of he leading-order free-surface derivaive in he momenum equaion (i.e. he hird erm on he lef-hand side of (3.3)). The predicor-correcor

8 2892 P. Lyne and P. L.-F. Liu equaions are given in Appendix B, along wih some addiional descripion of he numerical scheme. Run-up and rundown of he waves generaed by he submarine disurbance will also be examined. The moving-boundary scheme employed here is he echnique developed by Lyne e al. (22). Founded around he resricions of he high-order numerical wave-propagaion model, he moving-boundary scheme uses linear exrapolaion of free surface and velociy hrough he shoreline, ino he dry region. This approach allows for he ve-poin nie-di erence formulae o be applied a all poins, even hose neighbouring dry poins, and hus eliminaes he need of condiional saemens. In addiion o he deph-inegraed-model numerical resuls, oupu from a wodimensional (verical-plane) BIEM model will be presened for cerain cases. This BIEM model will be primarily used o deermine he deep-waer-accuracy limi of he deph-inegraed model. The BIEM model solves for inviscid irroaional ows and convers a boundary-value problem ino an inegral equaion along he boundary of a physical domain. Therefore, jus as wih he deph-inegraion approach, i reduces he dimension of he problem by one. The BIEM model used here solves he Laplace equaion in he verical plane (x; z), and, of course, is valid in all waer dephs for all wavelenghs. Deails of his ype of BIEM model, when used o model waer-wave propagaion, can be found in Grilli e al. (989), Liu e al. (992) and Grilli (993), for example. The BIEM model used in his work has reproduced he numerical resuls presened for landslide-generaed waves in Grilli & Was (999) perfecly. 6. Comparisons wih experimen and oher models As a rs check of he presen model, a comparison beween Hammack s (973) experimenal daa for an impulsive boom movemen in a consan waer deph is made. The boom movemen consiss of a lengh, l = 24:4 waer dephs, which is pushed verically upward. The change in deph for his experimen,, is., so nonlinear e ecs should play a small role near he source region. Figure 2 shows a comparison beween he numerical resuls using FNL-EXT, experimenal daa and he linear heory presened by Hammack. Boh he fully nonlinear model and he linear heory agree well wih experimen a he edge of he source region ( gure 2a). From gure 2b, a ime-series aken a 2 waer dephs from he edge of he source region, he agreemen beween all daa is again quie good, bu he deviaion beween he linear heory and experimen is slowly growing. The purpose of his comparison is o show ha he presen numerical model accuraely predics he free-surface response o a simple sea oor movemen. I would seem ha if one was ineresed in jus he wave eld very near he source, linear heory is adequae. However, as he magniude of he bed uphrus,, becomes large, linear heory is no capable of accuraely predicing he free-surface response, even very near he source region. One such linear versus nonlinear comparison is shown in gure 2 for = :6. The moion of he boom movemen is he same as in Hammack s case above. Immediaely on he ouskirs of he boom movemen, here are subsanial di erences beween linear and nonlinear heory, as shown in gure 2c. Addiionally, as he wave propagaes away from he source, errors in linear heory are more eviden. A handful of experimenal rials and analyic soluions exis for non-impulsive sea oor movemens. However, for he previous work ha made use of smooh obsacles, such as a semicircle (e.g. Forbes & Schwarz 982) or a semi-ellipse (e.g. Lee e

9 z /h (a) Submarine-landslide-generaed waves and run-up 2893 (b) (c) (d) z /h (g/h).5 - x/h 2 4 (g/h).5 - x/h Figure 2. (a), (b) Comparison beween Hammack s (973) experimenal daa (dos) for an impulsive sea oor uphrus of = :, FNL-EXT numerical simulaion (solid line), and linear heory (dashed line). (a) Time-series a x=h = ; (b) ime-series a x=h = 2, where x is he disance from he edge of he impulsive movemen. (c), (d) FNL-EXT (solid line) and L-EXT (dashed line) numerical resuls for Hammack s se-up, excep wih = :6. al. 989), he lengh of he obsacle is always less han.25 waer dephs, or > :8. Unforunaely, hese objecs will creae waves oo shor o be modelled accuraely by a deph-inegraed model. Was (997) performed a se of experimens where he le a riangular block free fall down a planar slope. In all he experimens, he fron (deep-waer) face of he block was seep, and in some cases verical. Physically, as he block ravels down a slope, waer is pushed ou horizonally from he verical fron. Numerically, however, using he deph-inegraed model, he dominan direcion of waer moion near he verical face is verical. This can be explained as follows. Examining he deph-inegraedmodel equaions, saring from he leading-order shallow-waer-wave equaions, he only forcing erm due o he changing waer deph appears in he coninuiy equaion. There is no forcing erm in he horizonal momenum equaion. Therefore, in he nondispersive sysem, any sea oor boom canno direcly creae a horizonal velociy. This concep can be furher illuminaed by he equaion describing he verical pro le of horizonal velociy, u(x; y; z; ) = u (x; y; ) + O( 2 ): (6.)

10 2894 P. Lyne and P. L.-F. Liu.2 (a) (b) - d h/d - d h/d L L 2 L L L s = L 2 = L L s = L 2 < L z x x Figure 3. Graphical de niion of he characerisic side lengh of a slide mass. The slide mass a ime is shown by he solid line, while he pro le a some ime > is shown by he dashed line. The negaive of he change in waer deph (or he approximae free-surface response in he non-dispersive equaion model) during he incremen is shown by he hick line ploed on z = :. Again, he changing sea oor boom canno direcly creae a horizonal velociy componen for he non-dispersive sysem. All of he sea oor movemen, wheher i is a verical or ranslaional moion, is inerpreed as sricly a verical moion, which can lead o a very di eren generaed wave paern. When adding he weakly dispersive erms, he verical pro le of he horizonal velociy becomes u(x; y; z; ) = u (x; y; ) ½ 2 2 z2 z 2 r(r u )+(z z )r r (hu )+ h ¾ +O( (6.2) Now, wih he higher-order dispersive formulaion, here is he forcing erm, rh, which accouns for he e ecs of a horizonally moving body. Keep in mind, however, ha his forcing erm is a second-order correcion, and herefore should represen only a small correcion o he horizonal velociy pro le. Thus, wih rapid ranslaional moion and/or seep side slopes of a submarine slide, he ow moion is srongly horizonal locally, and he deph-inegraed models are no adequae. In slighly di eren erms, le he slide mass have a characerisic side lengh, L s. A side lengh is de ned as he horizonal disance beween wo poins a =. This de niion of a side lengh is described graphically in gure 3. Figure 3a shows a slide mass ha is symmeric around is midpoin in he horizonal direcion, where he back (shallow-waer) and fron (deep-waer) side lenghs are equal. Figure 3b shows a slide mass whose fron side is much shorer ha he back. Noe ha for he slide shown in gure 3b, he side lenghs, measured in he 4 ):

11 Submarine-landslide-generaed waves and run-up 2895 z x x x c x r h (x) d () h c () D h h (x, ) b Figure 4. Se-up for submarine landslide comparisons. direcion parallel o he slope, are equal, whereas for he slide in gure 3a, he slide lenghs are equal when measured in he horizonal direcion. An irregular slide mass will have a leas wo di eren side lenghs. In hese cases, he characerisic side lengh, L s, is he shores of all sides. When L s is small compared o a characerisic waer deph, h, ha side is considered seep, or in deep waer, and he shallow-waer-based deph-inegraed model will no be accurae. For he verical face of Was s experimens, L s =, and herefore L s =h =, and he siuaion resembles ha of an in niely deep ocean. The nex secion will aemp o deermine a limiing value of L s =h where he deph-inegraed model begins o fail. 7. Limiaions of he deph-inegraed model Before using he model for pracical applicaions, he limis of accuracy of he dephinegraed model mus be deermined. As illusraed above, jus as here is a shorwave accuracy limi (wave should be a leas wo waer dephs long when applying he `exended model), i is expeced ha here is also a slide lengh-scale limiaion. By comparing he oupus of his model o hose of he BIEM model, a limiing value of L s =h can be inferred. The high degree of BIEM model accuracy in simulaing wave propagaion is well documened (e.g. Grilli 993; Grilli e al. 995). The comparison cases will use a slide mass ravelling down a consan slope. The slide mass moves as a solid body, wih velociy described following Was (997). This moion is characerized by a decreasing acceleraion unil a erminal velociy is reached. All of he solid-body moion coe ciens used in his paper are idenical o hose employed by Grilli & Was (999). Noe ha all of he submarine landslide simulaions presened in his paper are non-breaking.

12 2896 P. Lyne and P. L.-F. Liu z /d L s /h c = 6. (a) z /d z /d z /d L s /h c = 4.5 L s /h c = 3. L s /h c = 2.5 (b) (c) (d) D h/d.2. = (a) (b) (c) (d) x/b Figure 5. Free-surface snapshos for BIEM (solid line) and deph-inegraed (dashed line) resuls a (g=d ) =2 values of (a).6, (b) 2, (c) 3.6 and (d) 4. (e) The locaion of he slide mass in each of he four snapshos above. The se-up of he slide mass on he slope is shown in gure 4. The ime-hisory of he sea oor is described by µ µ x h(x; ) = h (x) 2 h xl () x xr () + anh anh ; (7.) S S where h is he maximum verical heigh of he slide, x l is he locaion of he anh in ecion poin of he lef side of he slide, x r is he locaion of he in ecion poin on he righ side, and S is a shape facor, conrolling he seepness of he slide sides. The lef and righ boundaries and seepness facor are given by x l () = x c () 2 b cos( ); x r() = x c () + :5 2 b cos( ); S = cos( ) ; where x c is he horizonal locaion of he cenre poin of he slide, and is deermined using he equaions governing he solid body moion of he slide. The angle of he slope is given by. The hickness of he `slideless waer column, or he baseline waer deph, a he cenre poin of he slide is de ned by h c () = h (x c ()) = h + d(). Wih a speci ed deph above he iniial cenre poin of he slide mass, d = d( = ), he iniial horizonal locaion of he slide cenre, x c ( = ), can be found. The lengh along he slope beween x l and x r is de ned as b, and all lenghs are scaled by b. (e)

13 z /d ver. shoreline movemen / d (a) L s /h c = 3.4 (b) Submarine-landslide-generaed waves and run-up (c) L s /h c = 2.4 L s /h c = (d) L s /h c = 3.4 L s /h c = L s /h c = (g/d ) /2 (g/d ) /2 (g/d ) / Figure 6. Time-series above he iniial cenre poin of he slide ((a), (c), (e)) and verical movemen of he shoreline ((b), (d), (f )) for a 2 slope and a slide mass wih a maximum heigh h = :. BIEM resuls are shown by he solid line, deph-inegraed resuls by he dashed line. (a), (b) d =b = :4; (c), (d) d =b = :6; and (e), (f ) d =b = :. For he rs comparison, a slide wih he parameer se = 6, d =b = :2 and h=b = :5 is modelled wih FNL-EXT and BIEM. Wih hese parameers, he characerisic horizonal side lengh of he slide mass, L s =b, is.7. L s is de ned as in gure 3 or, speci cally, he horizonal disance beween wo poins a is less han % of he value. Noe ha a 6 slope is roughly. Figure 5 shows four snapshos of he free-surface elevaion from boh models. The lowes panel in he gure shows he iniial locaion of he slide mass, along wih he locaions corresponding o he four free-surface snapshos. Iniially, as shown in gure 5a; b, where L s =h c = 6: and 4.5 respecively, he wo models agree, and hus are sill in he range of accepable accuracy of he deph-inegraed model. In gure 5c, as he slide moves ino deeper waer, where L s =h c = 3:, he wo models begin o diverge over he source region, and by gure 5d, he free-surface responses of he wo models are quie di eren. These resuls indicae ha in he viciniy of x=b = 5, he deph-inegraed model becomes inaccurae. A his locaion, h c =b = :5 and L s =h c = 3:4. Numerous addiional comparison ess were performed, and all indicaed ha he deph-inegraed model becomes inaccurae when L s =h c < 3{3.5. One more of he comparisons is shown here. Examining a 2 slope and a slide mass wih a maximum heigh h=b = :, he iniial deph of submergence, d =b, will be successively increased from.4 o.6 o.. The corresponding iniial L s =h c values are 3.4, 2.4 (e) ( f )

14 2898 P. Lyne and P. L.-F. Liu and.5, respecively. Time-series above he iniial cenre poin of he slide masses and verical shoreline movemens are shown in gure 6. The expecaion is ha he rs case (L s =h c = 3:4 iniially) should show good agreemen, he middle case (L s =h c = 2:4 iniially) marginal agreemen, and he las case (L s =h c = :5 iniially) bad agreemen. The ime-series above he cenre, gure 6a; c; e, clearly agree wih he saed expecaion. Various di eren z levels were esed in an aemp o beer he agreemen wih he BIEM-model resuls for he deeper waer cases, bu z = :53h provided he mos accurae oupu. Rundown, as shown in gure 6b; d; f, shows good agreemen for all he rials. The explanaion is ha he wave ha creaes he rundown is generaed from he back face of he slide mass. This wave sees a characerisic waer deph ha is less han h c, and hus his back face wave remains in he region of accuracy of he deph-inegraed model, whereas he wave moion nearer o he fron face of he slide is inaccurae. This feaure is also clearly shown in gure 5. Thus, if one was solely ineresed in he leading wave approaching he shoreline, he characerisic waer deph should be inerpreed as he average deph along he back face of he slide, insead of h c. The inaccurae elevaion waves creaed by he fron face of he moving mass could be absorbed numerically, such as wih a sponge layer, so ha hey do no e ec he simulaion. A guideline ha he deph-inegraed `exended model will yield accurae resuls for L s =h c > 3:5 is acceped. This resricion would seem o be more sringen han he `exended model frequency-dispersion limiaion, which requires ha he free-surface wave be a leas wo waer dephs long. In fac, he slide lengh-scale limiaion is more in line wih he dispersion limiaions of he deph-averaged (convenional) model. The limiaions of he various model formulaions, i.e. `exended and deph averaged, are discussed in he nex secion. 8. Imporance of nonlineariy and frequency dispersion Anoher useful guideline would be o know when nonlinear e ecs begin o play an imporan role. This can be deermined by running numerous numerical rials, employing he FNL-EXT, WNL-EXT and L-EXT equaion models. These hree equaion ses share idenical linear-dispersion properies, bu have varying levels of nonlineariy. The linear-dispersion limi of hese `exended equaions, for he rigid boom case, is near kh = 3, where k is he wavenumber. Nonlineariy, however, is only faihfully capured o near kh = : for he FNL-EXT model, and o an even lesser value for WNL-EXT (Gobbi e al. 2). The source-generaion accuracy limiaion of he model is such ha he side lengh of he landslide over he deph mus be greaer han 3.5. If he slide is symmeric in he horizonal direcion, which is he only ype of slide examined in his secion, hen he wavelengh of he generaed wave will be 2 3:5 h, or roughly kh =. Thus, up o he accuracy limi found in he previous secion, nonlineariy is expeced o be well capured. The FNL-EXT model will be considered correc, and any di erence in oupu compared o he oher models wih lesser nonlineariy would indicae ha full nonlinear e ecs are imporan. The imporance of nonlineariy will be esed hrough examinaion of various h=d combinaions, using he slide mass described in he previous secion. The value of h=d can be hough of as an impulsive nonlineariy, as his value represens he magniude of he free-surface response if he slide moion was enirely verical and insananeous. The procedure will be o hold he value h c = h c ( = ) = h + d

15 Submarine-landslide-generaed waves and run-up 2899 maximum depression / d slope = 3º, h c /b =.55 L s /h c = 3.5 (a) maximum run-down / d slope = 3º, h c /b =.55 L s /h c = 3.5 (b) maximum depression / d slope = 5º, h c /b =.55 L s /h c = 3.5 (c) maximum run-down / d slope = 5º, h c /b =.55 L s /h c = 3.5 (d) maximum depression / d maximum depression / d slope = 5º, h c /b =.55 L s /h c = 3.5 (e) ( f ) maximum run-down / d D h/d D h/d (g) (h) slope = 5º, h c /b =.5 L s /h c = 3 maximum run-down / d D D 2 2 h/d h/d slope = 5º, h c /b =.55 L s /h c = 3.5 slope = 5º, h c /b =.5 L s /h c = 3 Figure 7. Maximum depression above he iniial cenre poin of he slide mass and maximum rundown for four di eren rial ses. FNL-EXT resuls indicaed by he solid line, WNL-EXT by he dashed line and L-EXT by he doed line. consan for a given slope angle, while alering h and d. Two oupu values will be compared beween all he simulaions: maximum depression above he iniial cenre poin of he slide and maximum rundown. For all simulaions presened in his secion, x=b = :3 and p gh c =b = :3.

16 29 P. Lyne and P. L.-F. Liu Table. Characerisics of he simulaions performed for he nonlineariy es slope se no. (deg) hc =b Ls =hc Figure 7 shows he oupu from four ses of comparisons, whose characerisics are given in able. Figure 7a; b show he depression above he cenre poin and he rundown for se, gure 7c; d for se 2, gure 7e; f for se 3 and g- ure 7g; h for se 4. Examining he maximum depression plos for ses {3, i is clear ha he rends beween he hree ses are very similar, wih FNL-EXT predicing he larges depression and L-EXT predicing he smalles. The di erence beween FNL-EXT and WNL-EXT is solely due o nonlinear-dispersive erms, which are of O( 2 ), while he di erence beween WNL-EXT and L-EXT is caused by he nonlinear-divergence erm in he coninuiy equaion and he convecion erm in he momenum equaion, which are of O(). The relaive di erences in he maximum depression prediced beween FNL-EXT and WNL-EXT are roughly he same as he di erences beween WNL-EXT and L-EXT for ses, 2 and 3. Therefore, in he source region, for L s =h c values near he accuracy limi of he `exended model (near 3.5), he nonlinear-dispersive erms are as necessary o include in he model as he leading order nonlinear erms. As he L s =h c value is increased, he slide produces an increasingly longer (shallow-waer) wave. Frequency dispersion plays a lesser role, and hus he nonlinear-dispersive erms become expecedly less imporan. This can be seen in he maximum depression plo for se 4. For his se, L s =h c = 3, and he FNL-EXT and WNL-EXT resuls are nearly indisinguishable. Inspecing he maximum rundown plos for ses, 2 and 3, i seems ha he rends beween he hree di eren models have changed. Now, WNL-EXT predics he larges rundown, while L-EXT predics he smalles. I is hypohesized ha he documened over-shoaling of WNL-EXT (Wei e al. 995) cancels ou he lesser wave heigh generaed in he source region compared o FNL-EXT, leading o rundown heighs ha agree well beween he wo models. As he slope is decreased, he error in he L-EXT rundown predicion increases. This is aribued o a longer disance of shoaling before he wave reaches he shoreline. As he slope is decreased, while h c is kep consan, he horizonal disance from he shoreline o he iniial cenre poin of he slide increases. The slide lengh is roughly he same for he hree ses, herefore he generaed wavelengh is roughly he same. Thus, wih a lesser slope, he generaed wave shoals for a greaer number of wave periods. During his relaively larger disance of shoaling, nonlinear e ecs, and in paricular he leading-order nonlinear e ecs, accumulae and yield large errors in he linear (L-EXT) simulaions. This rend is also eviden in he rundown plo for se 4. Also noe ha in se 4, where he nonlinear-dispersive erms are very small, he FNL-EXT and WNL-EXT rundowns are idenical.

17 Submarine-landslide-generaed waves and run-up 29 max. dep./ max. dep. WNL-EXT maximum depression / d slope = 5º D h/b =.5 L s /b =.85 (a) (b) z/d L s /h c = 3.5 (c).92 maximum rundown / d max. run-down/ max. rundown WNL-EXT slope = 5º D h/b =.5 L s /b = L s /h c (d) (e) shoreline movemen / d ( f ) L s /h c = ime * (g/d ) /2 Figure 8. Maximum depression above he iniial cenre poin of he slide mass (a) and maximum rundown (d) for a se of numerical simulaions on a 5 slope. (b), (e) The maximum depression and maximum rundown scaled by he corresponding values from he WNL-EXT model. Time-series comparisons for Ls =hc = 3:5 showing he free-surface elevaion above he cenre poin (c) and verical shoreline movemen (f ) are given on he righ. WNL-EXT resuls indicaed by he solid line, WNL-DA by he dashed line and NL-SW by he doed line. A deep-waer limi has been deermined for he `exended model (L s =h c > 3:5), bu i would also be ineresing o know he limis of applicabiliy of he dephaveraged (WNL-DA) and shallow-waer (NL-SW) models. The only di erences

18 292 P. Lyne and P. L.-F. Liu beween hese hree models (he weakly nonlinear `exended, weakly nonlinear deph averaged and nonlinear shallow waer) are found in he frequency-dispersion erms he nonlinear erms are he same. The esing mehod o deermine he deep-waer limis of he various model ypes will be o x boh a slope of 5 and a slide mass, wih h=b = :5 and L s =b = :85, while incremenally increasing he iniial waer deph above he cenre poin of he slide, d. Figure 8 shows a summary of he comparisons of he hree models. Figure 8a; d show he maximum free-surface depression measured above he iniial cenre poin of he slide and he maximum rundown for various L s =h c combinaions. WNL-EXT soluions are indicaed by solid lines, WNL- DA by dashed lines and NL-SW by he doed lines. Also shown in gure 8b; e are he maximum depression and rundown resuls from WNL-DA and NL-SW relaive o he resuls from WNL-EXT, hereby more clearly depicing he di erences beween he models. These gures show WNL-EXT and WNL-DA agreeing nearly exacly, while he errors in NL-SW decrease wih increasing L s =h c. The NL-SW resuls do no converge wih he WNL-EXT resuls unil L s =h c & 5. Figure 8c; f are ime-series of he free-surface elevaion above he iniial cenre poin of he slide and he verical movemen of he shoreline for he case of L s =h c = 3:5, respecively. Di erences beween NL-SW and WNL-EXT are clear, wih NL-SW under-predicing he free surface above he slide, bu over-predicing he rundown due o over shoaling in he non-dispersive model. The only signi can di erence beween he WNL-EXT and WNL-DA resuls come afer he maximum depression in gure 8c, where WNL-DA predics an oscillaory rain following he depression. These resuls indicae ha o he deep-waer limi ha WNL-EXT was shown o be accurae, WNL-DA is accurae as well. As menioned previously, alering he level on which z is evaluaed in he `exended model does no increase he deep-waer accuracy limi for slide-generaed waves. In summary, he nonlinear-dispersive erms are imporan for slides near he deep-waer limi (L s =h c = 3:5) whose heighs, or h=d values, are large (greaer han.4). For shallow-waer slides (L s =h c > ), he nonlinear-dispersive erms are no imporan near he source, even for he larges slides. The `exended formulaion of he deph-inegraed equaions does no appear o o er any bene s over he deph-averaged formulaion in regards o modelling he generaion of waves in deeper waer. The `exended model would be useful if one was ineresed in modelling he propagaion of shallow-waer slide-generaed waves ino deeper waer, which is no he focus of his paper. The shallow-waer-wave equaions are only valid for slides in very shallow waer, where L s =h c & Conclusions A model for he creaion of fully nonlinear long waves by sea oor movemen, and heir propagaion away from he source region, is presened. The general fully nonlinear model can be runcaed, so as o only include weakly nonlinear e ecs, or model a non-dispersive wave sysem. Rarely will fully nonlinear e ecs be imporan above he landslide region, bu he model has he advanage of allowing he slide-generaed waves o become fully nonlinear in naure, wihou requiring a ransiion among governing equaions.

19 Submarine-landslide-generaed waves and run-up 293 A high-order nie-di erence model is developed o numerically simulae wave generaion by sea oor movemen. The numerical generaion of waves by boh impulsive and creeping movemens agrees wih experimenal daa and oher numerical models. A deep-waer accuracy limi of he model, L s =h c > 3:5, is adoped. Wihin his limiaion, he `exended formulaion of he deph-inegraed equaions shows no bene over he `convenional deph-averaged approach near he source region. Leading-order nonlinear e ecs were shown o be imporan for predicion of shoreline movemen, and he fully nonlinear erms are imporan for only he hickes slides wih relaively shor lengh-scales. Alhough only one-horizonal-dimension problems are examined in his paper, slides in wo horizonal dimensions have been analysed by he auhors, bu, due o paper lengh limiaions, will be presened in a fuure publicaion. As a nal remark, i is noed ha predicion of landslide sunamis in real cases is subjec o he large uncerainy inheren in knowing he ime-evoluion of a landslide. Exensive eld research of high-risk sies is paramoun o reducing his uncerainy. The research repored here is parly suppored by grans from he Naional Science Foundaion (CMS-95283, CTS and CMS ) and a subconrac from he Universiy of Puero Rico. The auhors hank Ms Yin-yu Chen for providing he numerical resuls based on her BIEM model. Appendix A. Derivaion of approximae wo-dimensional governing equaions In deriving he wo-dimensional deph-inegraed governing equaions, he frequency dispersion is assumed o be weak, i.e. O( 2 ) ½ : (A ) We can expand he dimensionless physical variables as power series of 2, X f = w = n= X n= 2n f n (f = ± ; p; u); (A 2) 2n w n : (A 3) Furhermore, we will assume he ow is irroaional. Zero horizonal voriciy yields he u = ; u = rw : (A 5) Consequenly, from (A 4), he leading-order horizonal velociy componens are independen of he verical coordinae, i.e. u = u (x; y; ): (A 6)

20 294 P. Lyne and P. L.-F. Liu Subsiuing (A 2) and (A 3) ino he coninuiy equaion (2.3) and he boundary condiion (2.7), we collec he leading-order erms as r u + w z = ; h < z < ± ; (A 7) w + u rh + h = on z = h: (A 8) Inegraing (A 7) wih respec o z and using (A 8) o deermine he inegraion consan, we obain he verical pro le of he verical velociy componens, w = zr u r (hu ) h : (A 9) Similarly, inegraing (A 5) wih respec o z, wih informaion from (A 8), we can nd he corresponding verical pro les of he horizonal velociy componens, u = 2 z2 r(r u ) zr r (hu ) + h + C (x; y; ); (A ) in which C is a unknown funcion o be deermined. Up o O( 2 ), he horizonal velociy componens can be expressed as u = u (x; y; ) ½ z2 r(r u ) zr r (hu ) + h ¾ + C (x; y; ) + O( 4 ); h < z < ± : (A ) Now, we can de ne he horizonal velociy vecor, u (x; y; z (x; y; ); ), evaluaed a z = z (x; y; ), as ½ 2 u = u + 2 z2 r(r u ) z r r (hu )+ h ¾ + C (x; y; ) + O( 4 ): (A 2) Subracing (A 2) from (A ), we can express u in erms of u as ½ 2 u = u 2 z2 z 2 r(r u ) + (z z )r r (hu ) + h ¾ + O( 4 ): (A 3) Noe ha u = u + O( 2 ) has been used in (A 3). The exac coninuiy equaion (2.8) can be rewrien approximaely in erms of ± and u. Subsiuing (A 3) ino (2.8), we obain ½ H + r (Hu ) 2 r H ( 6 (2 ± 2 ± h + h 2 ) 2 z2 )r(r u ) µ + ( 2 (± h) z )r r (hu ) + h ¾ = O( 4 ); (A 4) in which H = h + ±. Equaion (A 4) is one of hree governing equaions for and u. The oher wo equaions come from he horizonal momenum equaion (2.4). However, we mus

21 ± Submarine-landslide-generaed waves and run-up 295 nd he pressure eld rs. This can be accomplished by approximaing he verical momenum equaion (2.5) as p z = 2 (w + 2 u rw + 2 w w z ) + O( 4 ); h < z < ± : (A 5) We can inegrae he above equaion wih respec o z o nd he pressure eld as µ z p = ± ½ (z2 2 ± 2 )r u + (z ± ) r (hu) + h + 2 (z2 2 ± 2 )u r(r u ) + (z ± )u r r (hu ) + h + 2 (2 ± 2 z 2 )(r u ) 2 + (± z) r (hu ) + h ¾ r u 4 ) + O( (A 6) for h < z < ±. We remark here ha (A ) has been used in deriving (A 6). To obain he governing equaions for u, we rs subsiue (A 3) and (A 6) ino (2.4) and obain he following equaion, up o O( 2 ), u + u ru + r± ½ z2 r(r u ) + z r r (hu ) + h ¾ ½ + 2 z z r(r u ) + r r (hu ) + h ¾ ½ 2 + r (hu ) + h r r (hu ) + h µ r r (hu ) + h + (u rz )r r (hu ) + h µ + z r u r r (hu ) + h + z (u rz )r(r u ) ¾ + 2 z2 r[u r(r u )] + 2 ½ 2 r 2 ± 2 r u ± u r r (hu ) + h + ± r (hu ) + h ¾ r u + 3 ½ ¾ 2 r 2 ± 2 [(r u ) 2 u r(r u )] = O( 4 ): (A 7) Equaions (A 4) and (A 7) are he coupled governing equaions, wrien in erms of u and ±, for fully nonlinear weakly dispersive waves generaed by a submarine landslide.

22 ² ± ± 296 P. Lyne and P. L.-F. Liu Appendix B. Numerical scheme To simplify he predicor-correcor equaions, he velociy ime derivaives in he momenum equaions are grouped ino he dimensional form, U = u + 2 (z2 ± V = v + 2 (z2 ± 2 )u xx + (z ± )(hu) xx ± x[± u x + (hu) x ]; (B ) 2 )v yy + (z ± )(hv) yy ± y[± v y + (hv) y ]; (B 2) where subscrips denoe parial derivaives. Noe ha his grouping is di eren from ha given in Wei e al. (995). The grouping given above in (B ) and (B 2) incorporaes nonlinear erms, which is no done in Wei e al. These nonlinear ime derivaives arise from he nonlinear-dispersion erms r[± (r (hu ) + h =)] and r( 2 ± 2 r u ), which can be reformulaed using he relaion µ r r (hu ) + h µ = r r (hu ) + h µ r ± r (hu ) + h r( 2 ± 2 r u ) = r( 2 ± 2 r u ) r(± ± r u ): The auhors have found ha his form is more sable and requires less ieraions o converge for highly nonlinear problems, as compared o he Wei e al. formulaion. The predicor equaions are n+ i;j = ² n i;j + 2 (23En i;j 6Ei;j n + 5Ei;j n 2 ); (B 3) U n+ i;j = U n i;j + 2 (23F n i;j 6F n i;j + 5F n 2 i;j ) + 2(F ) n i;j 3(F ) n i;j + (F ) n 2 i;j ; (B 4) V n+ i;j where = V n i;j + 2 (23Gn i;j 6G n i;j + 5G n 2 i;j ) + 2(G ) n i;j 3(G ) n i;j + (G ) n 2 i;j ; (B 5) E = h [(± + h)u] x [(± + h)v] y F = + f(h + ± )[( 6 (± 2 ± h + h 2 ) + f(h + ± )[( 6 (± 2 ± h + h 2 ) 2 z2 )S x + ( 2 (± h) z )T x ]g x 2 z2 )S y + ( 2 (± h) z )T y ]g y ; (B 6) 2 [(u2 ) x + (v 2 ) x ] g± x z h x z h x + (± h ) x [E(± S + T )] x [ 2 (z2 ± 2 )(us x + vs y )] x [(z ± )(ut x + vt y )] x 2 [(T + ± S)2 ] x ; (B 7) F = 2 (± 2 z 2 )v xy (z ± )(hv) xy + ± x[± v y + (hv) y ]; (B 8) G = 2 [(u2 ) y + (v 2 ) y ] g± y z h y z h y + (± h ) y [E(± S + T )] y [ 2 (z2 ± 2 )(us x + vs y )] y [(z ± )(ut x + vt y )] y 2 [(T + ± S)2 ] y ; (B 9) G = 2 (± 2 z 2 )u xy (z ± )(hu) xy + ± y[± u x + (hu) x ] (B )

23 ² ± Submarine-landslide-generaed waves and run-up 297 and S = u x + v y ; T = (hu) x + (hv) y + h : (B ) All erms are evaluaed a he local grid poin (i; j), and n represens he curren ime-sep, when values of ±, u and v are known. The above expressions (B 6){(B ) are for he fully nonlinear problem; if a weakly nonlinear or non-dispersive sysem is o be examined, he equaions should be runcaed accordingly. The fourh-order implici correcor expressions for he free-surface elevaion and horizonal velociies are n+ i;j = ² n i;j + 24 (9En+ i;j + 9Ei;j n 5Ei;j n + Ei;j n 2 ); (B 2) Ui;j n+ = Ui;j n + n+ (9F 24 i;j + 9Fi;j n 5Fi;j n + Fi;j n 2 ) + (F ) n+ i;j (F ) n i;j ; (B 3) V n+ i;j = V n i;j + 24 (9Gn+ i;j + 9G n i;j 5G n i;j + G n 2 i;j ) + (G ) n+ i;j (G ) n i;j : (B 4) The sysem is solved by rs evaluaing he predicor equaions, hen u and v are solved via (B ) and (B 2), respecively. Boh (B ) and (B 2) yield a diagonal marix afer nie di erencing. The marices are diagonal, wih a bandwidh of ve (due o ve-poin nie di erencing), and an e cien LU decomposiion can be used. A his poin in he numerical sysem, we have predicors for ±, u and v. Nex, he correcor expressions are evaluaed, and again u and v are deermined from (B ) and (B 2). The relaive errors in each of he physical variables is found, in order o deermine if he implici correcors need o be reieraed. This relaive error is given as w n+ w n+ w n+ ; (B 5) where w represens ±, u and v, and w is he previous ieraions value. The correcors are recalculaed unil all errors are less han 4. Noe ha, ineviably, here will be locaions in he numerical domain where values of he physical variables are close o zero, and applying he above error calculaion o hese poins may lead o unnecessary ieraions in he correcor loop. Thus i is required ha u; v a ; p gh > 4 for he corresponding error calculaion o proceed, where a is deermined from equaion (3.4) for a creeping slide. For he model equaions, linear sabiliy analysis gives ha < x=2c, where c is he wave celeriy in he deepes waer. Noe ha when modelling highly nonlinear waves, a smaller is usually required for sabiliy. In his analysis, = x=4c produced sable and convergen resuls for all rails. For he numerical exerior boundaries, wo ypes of condiions are applied: re ecive and radiaion. The re ecive, or no- ux, boundary condiion for he Boussinesq equaions has been examined by previous researchers (Wei & Kirby 995), and heir mehodology is followed here. For he radiaion, or open, boundary condiion, a sponge layer is used. The sponge layer is applied in he manner recommended by Kirby e al. (998). Run-up and rundown are modelled wih he `exrapolaion moving-boundary algorihm described in Lyne e al. (22).

24 298 P. Lyne and P. L.-F. Liu Nomenclaure s ± a wave ampliude b lengh along he slope beween x l and x r for he anh slide c wave celeriy d deph of waer above he cenre poin of he slide, funcion of ime d iniial deph of waer above he cenre poin of he slide, i.e. a = g graviy h characerisic waer deph or baseline waer deph, funcion of space h waer deph pro le, funcion of space and ime h he changing par of he waer deph pro le ((h h )= ) h c baseline waer deph a he cenre poin of he slide ( h + d) h c iniial baseline waer deph a he cenre poin of he slide ( h + d ) H oal waer deph (h + ± ) l characerisic horizonal lengh-scale of he submarine slide L characerisic horizonal side lengh of he submarine slide p deph-dependen pressure S shape facor for anh slide ime c ime-scale of sea oor moion w ypical period of wave generaed by a speci ed sea oor moion u, v, w deph-dependen componens of velociy in x, y, z u, v magniude of horizonal velociy componens u, v evaluaed on z u, v deph-averaged horizonal velociy componens u horizonal velociy vecor, (u; v) x c, y c horizonal coordinaes of he midpoin of he sea oor movemen x l, x r locaions of he lef and righ in ecion poins for he anh slide pro le z arbirary level on which he `exended equaions are derived scaled characerisic change in waer deph due o sea oor moion ( h=h ) h characerisic, or maximum, change in waer deph due o sea oor moion ime-sep in numerical model x, y space seps in numerical model nonlineariy parameer (a=h ) r horizonal gradien vecor densiy of waer slope angle frequency-dispersion parameer (h =l ) free-surface displacemen

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

Traveling Waves. Chapter Introduction

Traveling Waves. Chapter Introduction Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

Ordinary dierential equations

Ordinary dierential equations Chaper 5 Ordinary dierenial equaions Conens 5.1 Iniial value problem........................... 31 5. Forward Euler's mehod......................... 3 5.3 Runge-Kua mehods.......................... 36

More information

Linear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation

Linear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation Chaper 4 Linear Surface Graviy Waves 3., Dispersion, Group Velociy, and Energy Propagaion 4. Descripion In many aspecs of wave evoluion, he concep of group velociy plays a cenral role. Mos people now i

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Robotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1.

Robotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1. Roboics I April 11, 017 Exercise 1 he kinemaics of a 3R spaial robo is specified by he Denavi-Harenberg parameers in ab 1 i α i d i a i θ i 1 π/ L 1 0 1 0 0 L 3 0 0 L 3 3 able 1: able of DH parameers of

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile

More information

Lecture 4 Kinetics of a particle Part 3: Impulse and Momentum

Lecture 4 Kinetics of a particle Part 3: Impulse and Momentum MEE Engineering Mechanics II Lecure 4 Lecure 4 Kineics of a paricle Par 3: Impulse and Momenum Linear impulse and momenum Saring from he equaion of moion for a paricle of mass m which is subjeced o an

More information

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should Cambridge Universiy Press 978--36-60033-7 Cambridge Inernaional AS and A Level Mahemaics: Mechanics Coursebook Excerp More Informaion Chaper The moion of projeciles In his chaper he model of free moion

More information

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Non-uniform circular motion *

Non-uniform circular motion * OpenSax-CNX module: m14020 1 Non-uniform circular moion * Sunil Kumar Singh This work is produced by OpenSax-CNX and licensed under he Creaive Commons Aribuion License 2.0 Wha do we mean by non-uniform

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

IB Physics Kinematics Worksheet

IB Physics Kinematics Worksheet IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?

More information

1. VELOCITY AND ACCELERATION

1. VELOCITY AND ACCELERATION 1. VELOCITY AND ACCELERATION 1.1 Kinemaics Equaions s = u + 1 a and s = v 1 a s = 1 (u + v) v = u + as 1. Displacemen-Time Graph Gradien = speed 1.3 Velociy-Time Graph Gradien = acceleraion Area under

More information

!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)

!!#$%&#'()!#&'(*%)+,&',-)./0)1-*23) "#"$%&#'()"#&'(*%)+,&',-)./)1-*) #$%&'()*+,&',-.%,/)*+,-&1*#$)()5*6$+$%*,7&*-'-&1*(,-&*6&,7.$%$+*&%'(*8$&',-,%'-&1*(,-&*6&,79*(&,%: ;..,*&1$&$.$%&'()*1$$.,'&',-9*(&,%)?%*,('&5

More information

IMPACT OF AN OBLIQUE BREAKING WAVE ON A WALL

IMPACT OF AN OBLIQUE BREAKING WAVE ON A WALL Source: Physics of Fluids Vol 6 No pp 6-64 4 DOI: 6/64445 IMPACT OF AN OIQUE REAKING WAVE ON A WA Jian-Jun SHU School of Mechanical & Aerospace Engineering Nanyang Technological Universiy 5 Nanyang Avenue

More information

A DELAY-DEPENDENT STABILITY CRITERIA FOR T-S FUZZY SYSTEM WITH TIME-DELAYS

A DELAY-DEPENDENT STABILITY CRITERIA FOR T-S FUZZY SYSTEM WITH TIME-DELAYS A DELAY-DEPENDENT STABILITY CRITERIA FOR T-S FUZZY SYSTEM WITH TIME-DELAYS Xinping Guan ;1 Fenglei Li Cailian Chen Insiue of Elecrical Engineering, Yanshan Universiy, Qinhuangdao, 066004, China. Deparmen

More information

Unsteady Flow Problems

Unsteady Flow Problems School of Mechanical Aerospace and Civil Engineering Unseady Flow Problems T. J. Craf George Begg Building, C41 TPFE MSc CFD-1 Reading: J. Ferziger, M. Peric, Compuaional Mehods for Fluid Dynamics H.K.

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan Ground Rules PC11 Fundamenals of Physics I Lecures 3 and 4 Moion in One Dimension A/Prof Tay Seng Chuan 1 Swich off your handphone and pager Swich off your lapop compuer and keep i No alking while lecure

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

Notes on Kalman Filtering

Notes on Kalman Filtering Noes on Kalman Filering Brian Borchers and Rick Aser November 7, Inroducion Daa Assimilaion is he problem of merging model predicions wih acual measuremens of a sysem o produce an opimal esimae of he curren

More information

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number

More information

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model Modal idenificaion of srucures from roving inpu daa by means of maximum likelihood esimaion of he sae space model J. Cara, J. Juan, E. Alarcón Absrac The usual way o perform a forced vibraion es is o fix

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

Rapid Termination Evaluation for Recursive Subdivision of Bezier Curves

Rapid Termination Evaluation for Recursive Subdivision of Bezier Curves Rapid Terminaion Evaluaion for Recursive Subdivision of Bezier Curves Thomas F. Hain School of Compuer and Informaion Sciences, Universiy of Souh Alabama, Mobile, AL, U.S.A. Absrac Bézier curve flaening

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Version April 30, 2004.Submied o CTU Repors. EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Per Krysl Universiy of California, San Diego La Jolla, California 92093-0085,

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Modeling the Dynamics of an Ice Tank Carriage

Modeling the Dynamics of an Ice Tank Carriage Modeling he Dynamics of an Ice Tank Carriage The challenge: To model he dynamics of an Ice Tank Carriage and idenify a mechanism o alleviae he backlash inheren in he design of he gearbox. Maplesof, a division

More information

SPH3U: Projectiles. Recorder: Manager: Speaker:

SPH3U: Projectiles. Recorder: Manager: Speaker: SPH3U: Projeciles Now i s ime o use our new skills o analyze he moion of a golf ball ha was ossed hrough he air. Le s find ou wha is special abou he moion of a projecile. Recorder: Manager: Speaker: 0

More information

Chapter 12: Velocity, acceleration, and forces

Chapter 12: Velocity, acceleration, and forces To Feel a Force Chaper Spring, Chaper : A. Saes of moion For moion on or near he surface of he earh, i is naural o measure moion wih respec o objecs fixed o he earh. The 4 hr. roaion of he earh has a measurable

More information

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17 EES 16A Designing Informaion Devices and Sysems I Spring 019 Lecure Noes Noe 17 17.1 apaciive ouchscreen In he las noe, we saw ha a capacior consiss of wo pieces on conducive maerial separaed by a nonconducive

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

From Particles to Rigid Bodies

From Particles to Rigid Bodies Rigid Body Dynamics From Paricles o Rigid Bodies Paricles No roaions Linear velociy v only Rigid bodies Body roaions Linear velociy v Angular velociy ω Rigid Bodies Rigid bodies have boh a posiion and

More information

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling?

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling? 256 MATHEMATICS A.2.1 Inroducion In class XI, we have learn abou mahemaical modelling as an aemp o sudy some par (or form) of some real-life problems in mahemaical erms, i.e., he conversion of a physical

More information

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems.

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems. di ernardo, M. (995). A purely adapive conroller o synchronize and conrol chaoic sysems. hps://doi.org/.6/375-96(96)8-x Early version, also known as pre-prin Link o published version (if available):.6/375-96(96)8-x

More information

Matlab and Python programming: how to get started

Matlab and Python programming: how to get started Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,

More information

Structural Dynamics and Earthquake Engineering

Structural Dynamics and Earthquake Engineering Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

k 1 k 2 x (1) x 2 = k 1 x 1 = k 2 k 1 +k 2 x (2) x k series x (3) k 2 x 2 = k 1 k 2 = k 1+k 2 = 1 k k 2 k series

k 1 k 2 x (1) x 2 = k 1 x 1 = k 2 k 1 +k 2 x (2) x k series x (3) k 2 x 2 = k 1 k 2 = k 1+k 2 = 1 k k 2 k series Final Review A Puzzle... Consider wo massless springs wih spring consans k 1 and k and he same equilibrium lengh. 1. If hese springs ac on a mass m in parallel, hey would be equivalen o a single spring

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Effects of Coordinate Curvature on Integration

Effects of Coordinate Curvature on Integration Effecs of Coordinae Curvaure on Inegraion Chrisopher A. Lafore clafore@gmail.com Absrac In his paper, he inegraion of a funcion over a curved manifold is examined in he case where he curvaure of he manifold

More information

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS 8 h ASCE Specialy Conference on Probabilisic Mechanics and Srucural Reliabiliy PMC-38 ON THE BEAT PHENOMENON IN COUPLED SYSTEMS S. K. Yalla, Suden Member ASCE and A. Kareem, M. ASCE NaHaz Modeling Laboraory,

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check

More information

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé Bias in Condiional and Uncondiional Fixed Effecs Logi Esimaion: a Correcion * Tom Coupé Economics Educaion and Research Consorium, Naional Universiy of Kyiv Mohyla Academy Address: Vul Voloska 10, 04070

More information

Single and Double Pendulum Models

Single and Double Pendulum Models Single and Double Pendulum Models Mah 596 Projec Summary Spring 2016 Jarod Har 1 Overview Differen ypes of pendulums are used o model many phenomena in various disciplines. In paricular, single and double

More information

Testing for a Single Factor Model in the Multivariate State Space Framework

Testing for a Single Factor Model in the Multivariate State Space Framework esing for a Single Facor Model in he Mulivariae Sae Space Framework Chen C.-Y. M. Chiba and M. Kobayashi Inernaional Graduae School of Social Sciences Yokohama Naional Universiy Japan Faculy of Economics

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

Motion along a Straight Line

Motion along a Straight Line chaper 2 Moion along a Sraigh Line verage speed and average velociy (Secion 2.2) 1. Velociy versus speed Cone in he ebook: fer Eample 2. Insananeous velociy and insananeous acceleraion (Secions 2.3, 2.4)

More information

Multi-scale 2D acoustic full waveform inversion with high frequency impulsive source

Multi-scale 2D acoustic full waveform inversion with high frequency impulsive source Muli-scale D acousic full waveform inversion wih high frequency impulsive source Vladimir N Zubov*, Universiy of Calgary, Calgary AB vzubov@ucalgaryca and Michael P Lamoureux, Universiy of Calgary, Calgary

More information

Sub Module 2.6. Measurement of transient temperature

Sub Module 2.6. Measurement of transient temperature Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,

More information

Turbulence in Fluids. Plumes and Thermals. Benoit Cushman-Roisin Thayer School of Engineering Dartmouth College

Turbulence in Fluids. Plumes and Thermals. Benoit Cushman-Roisin Thayer School of Engineering Dartmouth College Turbulence in Fluids Plumes and Thermals enoi Cushman-Roisin Thayer School of Engineering Darmouh College Why do hese srucures behave he way hey do? How much mixing do hey accomplish? 1 Plumes Plumes are

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

ACE 562 Fall Lecture 8: The Simple Linear Regression Model: R 2, Reporting the Results and Prediction. by Professor Scott H.

ACE 562 Fall Lecture 8: The Simple Linear Regression Model: R 2, Reporting the Results and Prediction. by Professor Scott H. ACE 56 Fall 5 Lecure 8: The Simple Linear Regression Model: R, Reporing he Resuls and Predicion by Professor Sco H. Irwin Required Readings: Griffihs, Hill and Judge. "Explaining Variaion in he Dependen

More information

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

Lecture 10: Wave equation, solution by spherical means

Lecture 10: Wave equation, solution by spherical means Lecure : Wave equaion, soluion by spherical means Physical modeling eample: Elasodynamics u (; ) displacemen vecor in elasic body occupying a domain U R n, U, The posiion of he maerial poin siing a U in

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

Integration Over Manifolds with Variable Coordinate Density

Integration Over Manifolds with Variable Coordinate Density Inegraion Over Manifolds wih Variable Coordinae Densiy Absrac Chrisopher A. Lafore clafore@gmail.com In his paper, he inegraion of a funcion over a curved manifold is examined in he case where he curvaure

More information

The motions of the celt on a horizontal plane with viscous friction

The motions of the celt on a horizontal plane with viscous friction The h Join Inernaional Conference on Mulibody Sysem Dynamics June 8, 18, Lisboa, Porugal The moions of he cel on a horizonal plane wih viscous fricion Maria A. Munisyna 1 1 Moscow Insiue of Physics and

More information

Morning Time: 1 hour 30 minutes Additional materials (enclosed):

Morning Time: 1 hour 30 minutes Additional materials (enclosed): ADVANCED GCE 78/0 MATHEMATICS (MEI) Differenial Equaions THURSDAY JANUARY 008 Morning Time: hour 30 minues Addiional maerials (enclosed): None Addiional maerials (required): Answer Bookle (8 pages) Graph

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

More information

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation Mahcad Lecure #8 In-class Workshee Curve Fiing and Inerpolaion A he end of his lecure, you will be able o: explain he difference beween curve fiing and inerpolaion decide wheher curve fiing or inerpolaion

More information

Solution: b All the terms must have the dimension of acceleration. We see that, indeed, each term has the units of acceleration

Solution: b All the terms must have the dimension of acceleration. We see that, indeed, each term has the units of acceleration PHYS 54 Tes Pracice Soluions Spring 8 Q: [4] Knowing ha in he ne epression a is acceleraion, v is speed, is posiion and is ime, from a dimensional v poin of view, he equaion a is a) incorrec b) correc

More information

Suggested Practice Problems (set #2) for the Physics Placement Test

Suggested Practice Problems (set #2) for the Physics Placement Test Deparmen of Physics College of Ars and Sciences American Universiy of Sharjah (AUS) Fall 014 Suggesed Pracice Problems (se #) for he Physics Placemen Tes This documen conains 5 suggesed problems ha are

More information

Ordinary Differential Equations

Ordinary Differential Equations Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described

More information

4.5 Constant Acceleration

4.5 Constant Acceleration 4.5 Consan Acceleraion v() v() = v 0 + a a() a a() = a v 0 Area = a (a) (b) Figure 4.8 Consan acceleraion: (a) velociy, (b) acceleraion When he x -componen of he velociy is a linear funcion (Figure 4.8(a)),

More information

Sliding Mode Controller for Unstable Systems

Sliding Mode Controller for Unstable Systems S. SIVARAMAKRISHNAN e al., Sliding Mode Conroller for Unsable Sysems, Chem. Biochem. Eng. Q. 22 (1) 41 47 (28) 41 Sliding Mode Conroller for Unsable Sysems S. Sivaramakrishnan, A. K. Tangirala, and M.

More information

Chapter 3 Boundary Value Problem

Chapter 3 Boundary Value Problem Chaper 3 Boundary Value Problem A boundary value problem (BVP) is a problem, ypically an ODE or a PDE, which has values assigned on he physical boundary of he domain in which he problem is specified. Le

More information

Displacement ( x) x x x

Displacement ( x) x x x Kinemaics Kinemaics is he branch of mechanics ha describes he moion of objecs wihou necessarily discussing wha causes he moion. 1-Dimensional Kinemaics (or 1- Dimensional moion) refers o moion in a sraigh

More information

Kinematics Vocabulary. Kinematics and One Dimensional Motion. Position. Coordinate System in One Dimension. Kinema means movement 8.

Kinematics Vocabulary. Kinematics and One Dimensional Motion. Position. Coordinate System in One Dimension. Kinema means movement 8. Kinemaics Vocabulary Kinemaics and One Dimensional Moion 8.1 WD1 Kinema means movemen Mahemaical descripion of moion Posiion Time Inerval Displacemen Velociy; absolue value: speed Acceleraion Averages

More information

The Paradox of Twins Described in a Three-dimensional Space-time Frame

The Paradox of Twins Described in a Three-dimensional Space-time Frame The Paradox of Twins Described in a Three-dimensional Space-ime Frame Tower Chen E_mail: chen@uguam.uog.edu Division of Mahemaical Sciences Universiy of Guam, USA Zeon Chen E_mail: zeon_chen@yahoo.com

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

Book Corrections for Optimal Estimation of Dynamic Systems, 2 nd Edition

Book Corrections for Optimal Estimation of Dynamic Systems, 2 nd Edition Boo Correcions for Opimal Esimaion of Dynamic Sysems, nd Ediion John L. Crassidis and John L. Junins November 17, 017 Chaper 1 This documen provides correcions for he boo: Crassidis, J.L., and Junins,

More information

Combined Bending with Induced or Applied Torsion of FRP I-Section Beams

Combined Bending with Induced or Applied Torsion of FRP I-Section Beams Combined Bending wih Induced or Applied Torsion of FRP I-Secion Beams MOJTABA B. SIRJANI School of Science and Technology Norfolk Sae Universiy Norfolk, Virginia 34504 USA sirjani@nsu.edu STEA B. BONDI

More information

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors Applicaion Noe Swiching losses for Phase Conrol and Bi- Direcionally Conrolled Thyrisors V AK () I T () Causing W on I TRM V AK( full area) () 1 Axial urn-on Plasma spread 2 Swiching losses for Phase Conrol

More information

Lab #2: Kinematics in 1-Dimension

Lab #2: Kinematics in 1-Dimension Reading Assignmen: Chaper 2, Secions 2-1 hrough 2-8 Lab #2: Kinemaics in 1-Dimension Inroducion: The sudy of moion is broken ino wo main areas of sudy kinemaics and dynamics. Kinemaics is he descripion

More information

Assignment 6. Tyler Shendruk December 6, 2010

Assignment 6. Tyler Shendruk December 6, 2010 Assignmen 6 Tyler Shendruk December 6, 1 1 Harden Problem 1 Le K be he coupling and h he exernal field in a 1D Ising model. From he lecures hese can be ransformed ino effecive coupling and fields K and

More information

Physics 180A Fall 2008 Test points. Provide the best answer to the following questions and problems. Watch your sig figs.

Physics 180A Fall 2008 Test points. Provide the best answer to the following questions and problems. Watch your sig figs. Physics 180A Fall 2008 Tes 1-120 poins Name Provide he bes answer o he following quesions and problems. Wach your sig figs. 1) The number of meaningful digis in a number is called he number of. When numbers

More information

THE DISCRETE WAVELET TRANSFORM

THE DISCRETE WAVELET TRANSFORM . 4 THE DISCRETE WAVELET TRANSFORM 4 1 Chaper 4: THE DISCRETE WAVELET TRANSFORM 4 2 4.1 INTRODUCTION TO DISCRETE WAVELET THEORY The bes way o inroduce waveles is hrough heir comparison o Fourier ransforms,

More information

Decimal moved after first digit = 4.6 x Decimal moves five places left SCIENTIFIC > POSITIONAL. a) g) 5.31 x b) 0.

Decimal moved after first digit = 4.6 x Decimal moves five places left SCIENTIFIC > POSITIONAL. a) g) 5.31 x b) 0. PHYSICS 20 UNIT 1 SCIENCE MATH WORKSHEET NAME: A. Sandard Noaion Very large and very small numbers are easily wrien using scienific (or sandard) noaion, raher han decimal (or posiional) noaion. Sandard

More information

Problem Set #1. i z. the complex propagation constant. For the characteristic impedance:

Problem Set #1. i z. the complex propagation constant. For the characteristic impedance: Problem Se # Problem : a) Using phasor noaion, calculae he volage and curren waves on a ransmission line by solving he wave equaion Assume ha R, L,, G are all non-zero and independen of frequency From

More information

Ordinary differential equations. Phys 750 Lecture 7

Ordinary differential equations. Phys 750 Lecture 7 Ordinary differenial equaions Phys 750 Lecure 7 Ordinary Differenial Equaions Mos physical laws are expressed as differenial equaions These come in hree flavours: iniial-value problems boundary-value problems

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

2.1: What is physics? Ch02: Motion along a straight line. 2.2: Motion. 2.3: Position, Displacement, Distance

2.1: What is physics? Ch02: Motion along a straight line. 2.2: Motion. 2.3: Position, Displacement, Distance Ch: Moion along a sraigh line Moion Posiion and Displacemen Average Velociy and Average Speed Insananeous Velociy and Speed Acceleraion Consan Acceleraion: A Special Case Anoher Look a Consan Acceleraion

More information

EE650R: Reliability Physics of Nanoelectronic Devices Lecture 9:

EE650R: Reliability Physics of Nanoelectronic Devices Lecture 9: EE65R: Reliabiliy Physics of anoelecronic Devices Lecure 9: Feaures of Time-Dependen BTI Degradaion Dae: Sep. 9, 6 Classnoe Lufe Siddique Review Animesh Daa 9. Background/Review: BTI is observed when he

More information

EKF SLAM vs. FastSLAM A Comparison

EKF SLAM vs. FastSLAM A Comparison vs. A Comparison Michael Calonder, Compuer Vision Lab Swiss Federal Insiue of Technology, Lausanne EPFL) michael.calonder@epfl.ch The wo algorihms are described wih a planar robo applicaion in mind. Generalizaion

More information

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

More information

ENVIRONMENTAL FLUID MECHANICS

ENVIRONMENTAL FLUID MECHANICS ENVIONMENTAL FLUID MECHANICS Plumes & Thermals Why do hese srucures behave he way hey do? How much mixing do hey accomplish? enoi Cushman-oisin Thayer School of Engineering Darmouh College hp://hayer.darmouh.edu/~cushman/books/efm/chap1.pdf

More information