ASSESSING SPECTRAL SHAPE-BASED INTENSITY MEASURES FOR SIMPLIFIED FRAGILITY ANALYSIS OF MID-RISE REINFORCED CONCRETE BUILDINGS

Size: px
Start display at page:

Download "ASSESSING SPECTRAL SHAPE-BASED INTENSITY MEASURES FOR SIMPLIFIED FRAGILITY ANALYSIS OF MID-RISE REINFORCED CONCRETE BUILDINGS"

Transcription

1 ECED 205 Conferene: Erthquke Risk nd Engineering towrds Resilient World 9-0 July 205, Cmbridge UK AEING PECTRAL HAPE-BAED INTENITY MEAURE FOR IMPLIFIED FRAGILITY ANALYI OF MID-RIE REINFORCED CONCRETE BUILDING tylinos MINA Crmine GALAO 2 nd Tizin ROETTO 3 Abstrt: The objetive of this study is to identify n optiml intensity mesure (IM) for onditioning probbilisti seismi demnds of se-study reinfored onrete (RC) frme buildings, representtive of mid-rise RC building lsses in the Mediterrnen region. The predition is performed vi sttistil reltionship between multiple IMs (prtiulrly dvned slr prmeters ounting for spetrl shpe over rnge of periods) nd vrious displement-bsed engineering demnd prmeters (EDPs). uh sttistil reltionships re built on dt obtined from nlysis of the frmes subjeted to over nine hundred ground motion reords by employing n innovtive pity spetrum method, introdued in the pper, whih uses inelsti response spetr derived from tul erthquke elerogrms to estimte seismi demnd nd derive frgility urves. The outomes of the present work re in good greement with previous investigtions onduted by other reserhers on seleting optiml IMs for prediting struturl response by using full nonliner dynmi nlyses for different struturl typologies. Introdution Reent erthqukes in Mule, Chile (200), Tohoku, Jpn (20) nd Christhurh, New Zelnd (20) hve resulted in extensive onentrtion of dmge nd signifint losses in existing, low seismi designed, reinfored onrete (RC) struture nd prtiulrly mid-rise buildings for both residentil nd ommeril oupny. The limited vilbility of historil dmge dt ssoited with most seismi prone res mkes the derivtion of nlytil frgility funtions (D Ayl et l. 204) n essentil omponent of seismi risk ssessment. In prtiulr, nonliner dynmi nlysis (NLDA) represents the tool for ssessing inelsti struturl response with reltively low unertinty, urtely pturing filure modes. Aprt from the undoubted dvntges of using NLDA, the required omputtionl resoures nd high ost (in terms of time onsumption), preludes this pproh when nlysing lrge popultions or portfolios of buildings, for exmple for tstrophe modeling purposes. In ontrst, severl vrints of pity spetrum methods bsed on inrementl dynmi nlysis (IDA) nd stti push-over nlyses hve been proposed. These pity ssessment methods, suh s the N2 method (Fjfr, 2000), nd the reently proposed FRACA (introdued in the following setion) mong others, often rely on simplifying ssumptions in ssessing both the struturl pity nd the seismi demnd. In prtiulr, FRACA uses suites of sled nd/or unsled ground motion reords (simply GMs hereinfter) nd delivers immeditely the frgility funtion of the onsidered struture. Nonetheless, the effet of seleting nd implementing different ombintions of intensity mesure (IMs) nd engineering demnd prmeters (EDPs) in simplified frgility nlysis hs not been ppropritely investigted. Thus, one fes the question of how suitble the dopted IM is for representing GM unertinty. To this im, the development of frgility funtions requires the hoie of n IM whih is suitble to predit the response of the system with the smllest stter ( effiieny ) nd providing signifint mount of informtion ( suffiieny ) to predit the responses quntities involved in the performne objetives (e.g., Jlyer et l., 202). In ddition, mny reserhers hve investigted other IM EngD tudent, University College London, London, UK, s.mins@ul..uk 2 Leturer, University College London, London, UK,.glsso@ul..uk 3 Professor, University College London, London, UK, t.rossetto@ul..uk

2 seletion riteri, relted for exmple to hzrd omputbility, profiieny, nd prtility. This pper ims to ) introdue FRACA, n effetive tool for simplified seismi frgility nlysis nd, 2) shed light in ompring different IM/EDP ombintions for the frgility nlysis of mid-rise RC buildings by FRACA. FRACA In the urrent study, the simplified pity ssessment methodology, nd relted omputer odes, known s FRACA (FRAgility through CApity petrum ssessment) is implemented in order to determine the performne points (PPs) of se-study strutures for different GM inputs. FRACA is bsed on the displement-bsed proedure, originlly proposed by Rossetto nd Elnshi (2005). The step by step proedure followed by the methodology is summrized below (Figure ):. Conversion of pushover urve (fore-displement spe) for the onsidered struture to n equivlent single degree of freedom (DoF) -bsed pity urve (elertiondisplement response spetrum, ADR formt) tking into onsidertion the floor msses nd the inter-story displements (Figure ). 2. Ideliztion of the pity urve. The user n hoose different idelized models, yielding point, ultimte point nd hrdening options (Rossetto et l., 204 nd Figure ). 3. Disretiztion of the pity urve to series of heking points ssoited with vrious pre- nd post-yield periods. The number of pre- nd post-periods n be seleted by the user (Figure b). 4. Computtion of elsti response spetrum from the inputted GMs. The elsti demnd is lulted for periods up to the yielding period T y (Figure ). 5. Clultion of the inelsti demnd of the equivlent DoF for the seleted post-yield periods (Figure d). 6. Determintion of PP t the intersetion of the pity with the demnd urve (Figure d). The orresponding EDP vlues re then obtined from the bk-lultion of PP to the fore-displement formt. It is noteworthy to mention tht unlike other pity spetrum methods, FRACA does not rely on redution ftors or indies to determine the inelsti spetrum from the elsti one. Insted, it rries out, for eh trget dutility nd period, simplified dynmi nlysis on the idelized nonliner DoF model orresponding to the pity urve. This feture lso hs the dvntge of permitting the use of vrious GM reords tht generte unsmoothed spetr s opposed to stndrdized design spetr. Therefore, the reord-to-reord vribility n be diretly introdued nd the resulting loud of performne points leds to frgility urves tht ount for the nturl vribility in the seismi demnd. In prtiulr, the omputed EDPs orresponding to different sled/unsled seismi demnd inputs, in onjuntion with user defined dmge sttes re used for the genertion of nlytil frgility urves. This method is reommended in the reently published GEM Guidelines for Anlytil Vulnerbility Estimtion, (D Ayl et l. 204), where further detils re lso provided. Considered intensity mesures In order to quntify the GM fetures tht influene the nonliner response of the strutures of interest, severl types of IMs re tested. Conventionl IMs nmely pek ground elertion (PGA), pek ground veloity (PGV), pek ground displement (PGD), nd spetrl (pseudo) elertion t the initil fundmentl period (for dmping rtio of 5%), re the most ommonly used IMs nd re onsidered here. In generl, PGA nd T poorly predit the struturl response of mid- to high-rise moment resisting frmes (MRFs), lthough the ltter IM suffiiently ptures the elsti behviour of first-mode dominted DoF systems, espeilly in the se of low to moderte fundmentl periods. However, the behviour of 2

3 highly nonliner strutures or strutures dominted by higher-mode periods (less thn T ) re not very well represented by utilizing T due to the lk of informtion on the spetrl shpe provided by this IM. Therefore, it is beoming essentil to implement dvned IMs tht ount for the elongted periods nd/or onsider nonliner demnd dependent struturl prmeters. Figure. Min steps of FRACA for the derivtion of the Performne Point using triliner ideliztion model. More speifilly, the first dvned slr IM onsidered is (proposed by Cordov et l., 2000), whih utilizes spetrl shpe informtion (period elongtion), nd is expressed s: T T T where nd α re oeffiients ssumed to be = 2 nd α = 0.5 respetively, bsed on the librtion rried out by the uthors in the originl study. Bojórquez nd Iervolino (20) lso proposed the dvned slr IM,, whih is bsed on T nd the prmeter N p, defined s: IN p T N p where α is prmeter to be librted nd N p is defined s: I N p () (2) N p, vg T,..., T T N N i T T i N (3) 3

4 where TN orresponds to the mximum period of interest nd lys within rnge of 2 nd 2.5T, s suggested by the uthors. In this study T N vlue is obtined diretly from the FRACA nlysis (Cse study setion). Ten different vlues, from 0. to, for the - prmeter re onsidered here in order to identify the optiml vlue for, to follow. Cse study strutures Two regulr RC 4-storey, 4-by bre frmes, representing different vulnerbility lsses bsed on the design odes used for their onstrution, re seleted to illustrte the evlution of the studied IMs. peifilly, the two seleted se-study strutures shre the sme geometry (by widths nd story heights) but hrterized by different mteril properties, elements geometry nd reinforement detiling. The first frme is designed to only sustin grvity lods following the Royl Deree n of 939 tht regulted the design of RC buildings in Itly up to 97, herefter Pre-Code building; the seond frme is designed ording to the ltest Itlin seismi ode (or NIBC08; C.LL.PP. 2008), following the High Dutility Clss (DCH) rules, herefter peil-code building. Further informtion regrding the design of those two buildings is vilble in De Lu et l. (2009). Inter-story heights, spn of eh by nd ross-setions dimensions for the two se-study building re reported in Figure 2. The onsidered frmes re regulr (both in pln nd in elevtion); the dimensions in brkets refer to the Pre-Code building (ll bems hve the sme rosssetions in both ses). Figure 2. Elevtion dimensions nd members ross-setions of the se-study buildings. The two se-study frmes re modeled using the eismotrut finite element softwre ( two seprte sets of onventionl stti PO methods re seleted for the nlysis of the bovementioned frmes. Inrementl lterl lods re pplied in different lod phses t the side nodes t eh floor level. The lterl lod inrements re distributed uniformly or following n inverse tringulr pttern (uniform PO nd tringulr PO), orresponding to floor msses nd story heights respetively. Tble summrizes the dynmi informtion ssoited with eh of the tested buildings required to ompute different IMs, nmely struturl nlysis method, fundmentl period T (bsed on eismostrut nd FRACA estimtions, denoted s T *) s well s elongted period T N. T * is derived from the stiffness of the idelized pity urve used in FRACA, while the 4

5 elongted period T N orresponds to the ultimte point of the pity urve ssoited to eh building-po nlysis method. Figures 3 (left pnel) presents the stti PO urves (tringulr PO for illustrtive purposes) for the se-study buildings. The urves re reported in terms of top entre of mss displement divided by the totl height of the struture (i.e., the roof drift rtio, RDR) long the horizontl xis of the digrm nd bse sher divided by the building seismi weight (i.e., the bse sher oeffiient) long the vertil xis. It is noted tht highly nonliner behviour is observed over ertin RDR thresholds for the studied strutures. Figure 3 (right pnel) shows the performne points in the ADR spe omputed by FRACA (n Elsti Perfetly Plsti ideliztion model is employed) by using the GMs reords desribed in the following setion. Building Pre-Code peil-code Tble. Dynmi properties for eh se-study struture. T PO T * (s) (s) T N (s) TRI UNI TRI UNI Figure 3. tti PO urves for the se-study buildings (left) nd performne points generted by FRACA (right). Ground motion dtbse The IMBAD dtbse (eleted Input Motions for displement-bsed Assessment nd Design; merzini et l., 204), used here, onsists of 467 reords, eh inluding the two horizontl (X-Y) nd one vertil (Z) omponents (40 reordings), generted by 30 seismi events (inluding minshoks nd ftershoks) tht ourred worldwide. These elerogrms re ssembled from vrious ground motion dtbses derived for different regions of the world following the seletion riteri ddressed below:. hllow rustl erthqukes worldwide with moment mgnitude (M) rnging from 5 to 7.3 nd epientrl distne R 35 km. This ensures to provide strong ground motion reords of engineering relevne for most of the design onditions of interest tht n be used without introduing lrge sling ftors. 2. Good qulity t long periods, so tht only reords for whih the high-pss ut-off frequeny used by the dt provider is below 0.5 Hz re onsidered. Therefore, most reords re from digitl instruments (bout 80%), while from nlogue instruments only those reords with good signl to noise rtios t long periods, typilly from lrge mgnitude erthqukes, re retined. 3. Avilbility of site lss informtion bsed on quntittive riteri. 5

6 Methodology In the present study, sttistil regression tehniques re implemented to determine the IM tht better predits eh onsidered EDPs. Hene, to determine the sttistil properties of the loud response, the liner lest squres is pplied on EDPs versus IMs pirs for the suite of GMs (unsled) in order to estimte the onditionl men nd stndrd devition of EDP given IM. The simple power-lw model in Eq. (4) is used here: b EDP IM (4) where nd b re the prmeters of the regression. The regression s stndrd devition (s) is ssumed to be onstnt with respet to IM over the rnge of IMs in the loud. The powerlw model illustrte in Eq. (4) n be simply re-written s shown below in Eq. (5), s liner expression of the nturl logrithm of the EDP nd the nturl logrithm of the IM: ln EDP ln blnim (5) The use of logrithmi trnsformtion indites tht the EDPs re ssumed to be onditionlly lognormlly distributed (onditionl upon the vlues of the IMs); this is ommon ssumption tht hs been onfirmed s resonble in mny pst studies. In the urrent study, the fous is lid on deformtion-bsed EDPs, whih re listed below:. pek (over time) inter-story drift rtio, s the lrgest differene between the lterl displements of two djent floors, divided by the height of the story (denoted s IDR i for story i-th); 2. mximum (over ll stories) pek interstorey drift rtio (denoted s MIDR); 3. rtio of the pek lterl roof displement to the building height (i.e., RDR). The bovementioned hve demonstrted to be well orrelted to both struturl nd nonstruturl dmge. Thus, they n be used to ompute lol or globl instbility of RC MRFs. Optiml IM seletion riteri As disussed in the introdution, the seleted IM hs signifint effet on the unertinty ssoited with the resultnt frgility urves. Therefore, the seletion of optiml IMs is of high importne within the entire risk ssessment proess nd onsequently, rised the need for defining quntittive nd qulittive seletion riteri in order to filitte this seletion. The most ommonly used riteri for the determintion of n optiml IM used in this study re briefly disussed below:. Effiieny: Effiieny is the most ommonly used quntittive riterion for the determintion of optiml IMs, nd is relted to the vrition of demnd estimtes for different vlues of the onsidered IM (e.g., Giovenle et l., 2004). peifilly, more effiient IMs result in redued dispersion of the medin EDP estimtes onditionl to given IM. As result, less nlysis runs re required to nrrow down the onfidene intervls. An effiient IM is the one tht provides the smllest vlue of the stndrd devition s from the regression nlysis. 2. uffiieny: An innovtive definition of suffiieny, in prtiulr reltive suffiieny, ws reently proposed by Jlyer et l. (202). In prtiulr, to investigte the reltive suffiieny of seond IM, i.e. IM 2, with respet to first one, i.e. IM, quntittive mesure my be employed. This mesure is derived on the bsis of informtion theory onepts nd quntifies the suitbility of one IM reltive to nother. peifilly, the reltive suffiieny mesure, denoted herein s I(EDP IM 2 IM ), is equl to the verge differene between the informtion gined bout the performne vrible EDP given IM nd IM 2 nd tht gined given IM only. Therefore, for eh loud nlysis performed, one n estimte this mesure using the equtions provided in Jlyer et l. (202). The 6

7 reltive suffiieny mesure is expressed in units of bits of informtion. If the reltive suffiieny mesure, I(EDP IM 2 IM ), is zero, this indites tht on verge the two IMs provide the sme mount of informtion bout the EDP. In other words, they re eqully suffiient. If the reltive suffiieny mesure is positive, this mens tht on verge IM 2 provides more informtion thn IM bout the EDP, so IM 2 is more suffiient thn IM. imilrly, if the reltive suffiieny mesure is negtive, IM 2 provides on verge less informtion thn IM nd so IM 2 is less suffiient thn IM. 3. Hzrd omputbility: Aording to the definition given by Giovenle et l. (2004), hzrd omputbility desribes the proess to obtin the erthquke hzrd for given IM. Numerous hzrd mps nd Ground Motion Predition Equtions (GMPE) exist for more ommonly used IMs, nmely PGA nd spetrl ordintes t given periods (representing sometimes restrited rnge of possible disrete periods), mking these IMs more fvourble from the hzrd omputbility perspetive; wheres, other IMs my require interpoltion or supplementry struturl or dynmi informtion, mking the omputtion of the hzrd more time-onsuming proess. Results nd disussion For ske of brevity, only the results for the se of tringulr PO lods nd MIDR re presented; the im is to show the proess to determine the optiml IM for the frgility nlysis of the prtiulr building lss. However, the sme methodology is pplied to ll the se-study buildings nd results of the nlysis, essentilly onsistent ross ll the sestudy buildings nd EDPs, re reported in Mins (204). As shown in Figure 3 (left pnel) the seleted struture behves highly nonlinerly over ertin RDR thresholds. As onsequene, the tul number of GM tht pushed the frme into the nonliner rnge is reltively smll but still sttistilly signifint. Therefore, the regression prmeters, b, s nd R 2 for eh EDP nd eh IM re estimted only onsidering the GM reords resulting in tul nonliner response. Figure 4 (left pnel) shows the obtined s vlues orresponding to MIDR vs IMs regression for both se-study building. With regrd to effiieny, the visul inspetion of Figure 4 onfirm tht deformtion-bsed EDPs pper to be better orrelted with the spetrl shpe prmeter performs I (the optiml -vlue n be identified from the figure); while N p better thn the other onventionl IMs nd losely mthes the estimtions. It is lso onfirmed tht PGA, s well s PGD, re poor preditors of the nonliner struturl response of mid- to high-rise moment resisting frmes (highest vlues of s). For the peil-code building, the spetrl shpe prmeter provide the highest vlues of s ompring to the other dvned IMs, but still outperforms ll onventionl slr IMs. A potentil improvement my be obtined by librting nd (in the se of ) for the speifi se-study strutures rther thn using the vlues suggested by other reserhers for different se-study strutures. The reltive suffiieny mesure for MIDR nd the ndidte IMs is shown in Figure 4 (right pnel) for both buildings. The referene IM is the one orresponding to the lowest s vlue from the regression (left pnel). The results in Figure 4 (right pnel) onfirm the results in terms of effiieny (left pnel). The IMs resulting in the highest effiieny re lso hrterized by the highest reltive suffiieny. Lst riterion for the determintion of n optiml intensity mesure is the hzrd omputbility. For the urrent riterion, onventionl IMs hve signifint dvntge over the dvned ones, s numerous GMPEs nd hzrd mps exist prtiulrly for PGA, PGV nd PGD, nd some spetrl ordintes for speifi rnges of periods. On the other hnd, it is still possible to derive GMPE for spetrl elertion bsed dvned IMs, s shown in Cordov et l. (2000) nd Bojórquez nd Iervolino (20). T 7

8 Figure 4. tndrd devition (dispersion) of residuls of MIRD for the onsidered IMs nd eh sestudy building (left); reltive suffiieny mesure for lterntive IMs with respet to the IM with the lowest dispersion for eh se-study building (right). Conlusion This pper summrizes the results of n investigtion iming t identifying the GM prmeters tht re better orrelted with displement-bsed response prmeters for simplified frgility nlysis of mid-rise RC buildings. The outomes of the present work re onsistent with previous investigtions onduted by the uthors nd other reserhers on seleting optiml IMs (slr or vetor-vlued) for prediting struturl response by using NLDA. In generl, the dvned IMs, properly librted for the speifi building typology, tht ount for the period elongtion nd demnd dependent struturl prmeters, omfortbly stisfy ll the seletion riteri, nd represent then optiml IMs for simplified frgility nlysis of mid-rise RC buildings REFERENCE Bojórquez E., nd Iervolino I. (20) petrl shpe proxies nd nonliner struturl response. oil Dynmis nd Erthquke Engineering, 3(7), C.LL.PP. (2008) DM 4 Gennio, Norme tenihe per le ostruzioni. Gzzett Uffiile dell Repubbli Itlin 29 (in Itlin). Cordov PP, Deierlein GG, Mehnny nd Cornell CA (2000) Development of two-prmeter seismi intensity mesure nd probbilisti ssessment proedure. Proeedings of the 2nd U Jpn Workshop on Performne-Bsed Erthquke Engineering for Reinfored Conrete Building trutures, pporo, Jpn, 3 eptember. D Ayl D, Meslem A, Vmvtsikos D, Porter K, Rossetto T, Crowley H nd ilv V (204) Guidelines for Anlytil Vulnerbility Assessment. Vulnerbility Globl Component projet. De Lu F, Elefnte L, Iervolino I nd Verderme GM (2009) trutture esistenti e di nuov progettzione: omportmento sismio onfront. tti di XIII Convegno Nzionle "L'Ingegneri ismi in Itli", Bologn, Itly (in Itlin). Fjfr P (999) Cpity spetrum method bsed on inelsti demnd spetr. Erthquke Engineering nd truturl Dynmis, 28(9), Giovenle P, Cornell CA nd Estev L (2004) Compring the dequy of lterntive ground motion intensity mesures for the estimtion of struturl responses. Erthquke Engineering nd truturl Dynmis, 33(8), Jlyer F, Bek JL nd Zrein F (202) Anlyzing the uffiieny of Alterntive lr nd Vetor Intensity Mesures of Ground hking Bsed on Informtion Theory. ACE Journl of Engineering Mehnis, 38(3),

9 Mins (204) eleting optiml intensity mesures for simplified frgility nlysis of mid-rise RC buildings. MRes Report, University College London, UK. Rossetto T nd Elnshi A (2005) A new nlytil proedure for the derivtion of displement-bsed vulnerbility urves for popultions of RC strutures. Engineering trutures, 27(3), Rossetto T, Gehl P, Mins, Nssirpour, Mbug J, Duffour P nd Dougls J (204) ensitivity nlysis of different pity pprohes to ssumptions in the modeling, pity nd demnd representtions. Proeedings of ACE-ICVRAM-IUMA onferene, Liverpool, UK, 3-6 July merzini C, Glsso C, Iervolino I nd Polui R (204) Ground motion reord seletion bsed on brodbnd spetrl omptibility. Erthquke petr, 30(4),

Development of Failure Probability Analysis Method for. Concrete Piers of Multi-span Continuous Bridges using

Development of Failure Probability Analysis Method for. Concrete Piers of Multi-span Continuous Bridges using Development o Filure Probbility Anlysis Method or Conrete Piers o Multi-spn Continuous Bridges using the Probbilisti Cpity Spetrum Method Je Shin CHOI, Je Kwn KIM ABSTRACT When erthqukes our, strutures

More information

Lecture Notes No. 10

Lecture Notes No. 10 2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite

More information

ANALYSIS AND MODELLING OF RAINFALL EVENTS

ANALYSIS AND MODELLING OF RAINFALL EVENTS Proeedings of the 14 th Interntionl Conferene on Environmentl Siene nd Tehnology Athens, Greee, 3-5 Septemer 215 ANALYSIS AND MODELLING OF RAINFALL EVENTS IOANNIDIS K., KARAGRIGORIOU A. nd LEKKAS D.F.

More information

Delay Variability at Signalized Intersections

Delay Variability at Signalized Intersections Trnsporttion Reserh Reord 1710 15 Pper No. 00-0810 Dely Vribility t Signlized Intersetions Liping Fu nd Brue Helling Delys tht individul vehiles my experiene t signlized intersetion re usully subjet to

More information

8 THREE PHASE A.C. CIRCUITS

8 THREE PHASE A.C. CIRCUITS 8 THREE PHSE.. IRUITS The signls in hpter 7 were sinusoidl lternting voltges nd urrents of the so-lled single se type. n emf of suh type n e esily generted y rotting single loop of ondutor (or single winding),

More information

Application of the theory of compound cores for the assessment of stress pattern in the cross section of a strengthened beam column

Application of the theory of compound cores for the assessment of stress pattern in the cross section of a strengthened beam column IOP Conferene Series: Mterils Siene nd Engineering PAPER OPEN ACCESS Applition of the theory of ompound ores for the ssessment of stress pttern in the ross setion of strengthened bem olumn To ite this

More information

Generalization of 2-Corner Frequency Source Models Used in SMSIM

Generalization of 2-Corner Frequency Source Models Used in SMSIM Generliztion o 2-Corner Frequeny Soure Models Used in SMSIM Dvid M. Boore 26 Mrh 213, orreted Figure 1 nd 2 legends on 5 April 213, dditionl smll orretions on 29 My 213 Mny o the soure spetr models ville

More information

Review Topic 14: Relationships between two numerical variables

Review Topic 14: Relationships between two numerical variables Review Topi 14: Reltionships etween two numeril vriles Multiple hoie 1. Whih of the following stterplots est demonstrtes line of est fit? A B C D E 2. The regression line eqution for the following grph

More information

Student Activity 3: Single Factor ANOVA

Student Activity 3: Single Factor ANOVA MATH 40 Student Activity 3: Single Fctor ANOVA Some Bsic Concepts In designed experiment, two or more tretments, or combintions of tretments, is pplied to experimentl units The number of tretments, whether

More information

Table of Content. c 1 / 5

Table of Content. c 1 / 5 Tehnil Informtion - t nd t Temperture for Controlger 03-2018 en Tble of Content Introdution....................................................................... 2 Definitions for t nd t..............................................................

More information

1.3 SCALARS AND VECTORS

1.3 SCALARS AND VECTORS Bridge Course Phy I PUC 24 1.3 SCLRS ND VECTORS Introdution: Physis is the study of nturl phenomen. The study of ny nturl phenomenon involves mesurements. For exmple, the distne etween the plnet erth nd

More information

On the Scale factor of the Universe and Redshift.

On the Scale factor of the Universe and Redshift. On the Sle ftor of the Universe nd Redshift. J. M. unter. john@grvity.uk.om ABSTRACT It is proposed tht there hs been longstnding misunderstnding of the reltionship between sle ftor of the universe nd

More information

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES Advned Steel Constrution Vol., No., pp. 7-88 () 7 SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WIT VARIOUS TYPES OF COLUMN BASES J. ent sio Assoite Professor, Deprtment of Civil nd Environmentl

More information

Hyers-Ulam stability of Pielou logistic difference equation

Hyers-Ulam stability of Pielou logistic difference equation vilble online t wwwisr-publitionsom/jns J Nonliner Si ppl, 0 (207, 35 322 Reserh rtile Journl Homepge: wwwtjnsom - wwwisr-publitionsom/jns Hyers-Ulm stbility of Pielou logisti differene eqution Soon-Mo

More information

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1)

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1) Green s Theorem Mth 3B isussion Session Week 8 Notes Februry 8 nd Mrh, 7 Very shortly fter you lerned how to integrte single-vrible funtions, you lerned the Fundmentl Theorem of lulus the wy most integrtion

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1. 1 [(y ) 2 + yy + y 2 ] dx,

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1. 1 [(y ) 2 + yy + y 2 ] dx, MATH3403: Green s Funtions, Integrl Equtions nd the Clulus of Vritions 1 Exmples 5 Qu.1 Show tht the extreml funtion of the funtionl I[y] = 1 0 [(y ) + yy + y ] dx, where y(0) = 0 nd y(1) = 1, is y(x)

More information

Engr354: Digital Logic Circuits

Engr354: Digital Logic Circuits Engr354: Digitl Logi Ciruits Chpter 4: Logi Optimiztion Curtis Nelson Logi Optimiztion In hpter 4 you will lern out: Synthesis of logi funtions; Anlysis of logi iruits; Tehniques for deriving minimum-ost

More information

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL P3.1 Kot Iwmur*, Hiroto Kitgw Jpn Meteorologil Ageny 1. INTRODUCTION Jpn Meteorologil Ageny

More information

Tests for the Ratio of Two Poisson Rates

Tests for the Ratio of Two Poisson Rates Chpter 437 Tests for the Rtio of Two Poisson Rtes Introduction The Poisson probbility lw gives the probbility distribution of the number of events occurring in specified intervl of time or spce. The Poisson

More information

, g. Exercise 1. Generator polynomials of a convolutional code, given in binary form, are g. Solution 1.

, g. Exercise 1. Generator polynomials of a convolutional code, given in binary form, are g. Solution 1. Exerise Genertor polynomils of onvolutionl ode, given in binry form, re g, g j g. ) Sketh the enoding iruit. b) Sketh the stte digrm. ) Find the trnsfer funtion T. d) Wht is the minimum free distne of

More information

Lecture 1 - Introduction and Basic Facts about PDEs

Lecture 1 - Introduction and Basic Facts about PDEs * 18.15 - Introdution to PDEs, Fll 004 Prof. Gigliol Stffilni Leture 1 - Introdution nd Bsi Fts bout PDEs The Content of the Course Definition of Prtil Differentil Eqution (PDE) Liner PDEs VVVVVVVVVVVVVVVVVVVV

More information

Probability-Based Seismic Assessments: Implementing Wide-Range Nonlinear Dynamic Analysis Methods

Probability-Based Seismic Assessments: Implementing Wide-Range Nonlinear Dynamic Analysis Methods Probbility-Bsed Seismic Assessments: Implementing Nonliner Dynmic Anlysis Methods Ftim Jlyer Postdoctorl Scholr University of Rome L Spienz Cliforni Institute of Technology (CIT) Outline A brief Introduction

More information

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix tries Definition of tri mtri is regulr rry of numers enlosed inside rkets SCHOOL OF ENGINEERING & UIL ENVIRONEN Emple he following re ll mtries: ), ) 9, themtis ), d) tries Definition of tri Size of tri

More information

Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000

Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000 orf, R.C., Wn,. T- Equivlent Networks The Eletril Engineering Hndook Ed. Rihrd C. orf Bo Rton: CRC Press LLC, 000 9 T P Equivlent Networks hen Wn University of Cliforni, vis Rihrd C. orf University of

More information

Restraint of purlins for various roof systems

Restraint of purlins for various roof systems NS009 Restrint of purlins for vrious roof systems T. Vrny, M. Brhm & A. Beli ulty of ivil Engineering, zeh Tehnil University, Prh, zehi Astron Buildings S.A., Diekirh, Luxemourg, A memer of the Lind Group

More information

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem.

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem. 27 Lesson 2: The Pythgoren Theorem nd Similr Tringles A Brief Review of the Pythgoren Theorem. Rell tht n ngle whih mesures 90º is lled right ngle. If one of the ngles of tringle is right ngle, then we

More information

Solutions to Assignment 1

Solutions to Assignment 1 MTHE 237 Fll 2015 Solutions to Assignment 1 Problem 1 Find the order of the differentil eqution: t d3 y dt 3 +t2 y = os(t. Is the differentil eqution liner? Is the eqution homogeneous? b Repet the bove

More information

Lecture Summaries for Multivariable Integral Calculus M52B

Lecture Summaries for Multivariable Integral Calculus M52B These leture summries my lso be viewed online by liking the L ion t the top right of ny leture sreen. Leture Summries for Multivrible Integrl Clulus M52B Chpter nd setion numbers refer to the 6th edition.

More information

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions MEP: Demonstrtion Projet UNIT 4: Trigonometry UNIT 4 Trigonometry tivities tivities 4. Pythgors' Theorem 4.2 Spirls 4.3 linometers 4.4 Rdr 4.5 Posting Prels 4.6 Interloking Pipes 4.7 Sine Rule Notes nd

More information

Parabola and Catenary Equations for Conductor Height Calculation

Parabola and Catenary Equations for Conductor Height Calculation ELECTROTEHNICĂ, ELECTRONICĂ, AUTOMATICĂ, 6 (), nr. 3 9 Prbol nd Ctenr Equtions for Condutor Height Clultion Alen HATIBOVIC Abstrt This pper presents new equtions for ondutor height lultion bsed on the

More information

Learning Partially Observable Markov Models from First Passage Times

Learning Partially Observable Markov Models from First Passage Times Lerning Prtilly Oservle Mrkov s from First Pssge s Jérôme Cllut nd Pierre Dupont Europen Conferene on Mhine Lerning (ECML) 8 Septemer 7 Outline. FPT in models nd sequenes. Prtilly Oservle Mrkov s (POMMs).

More information

A Mathematical Model for Unemployment-Taking an Action without Delay

A Mathematical Model for Unemployment-Taking an Action without Delay Advnes in Dynmil Systems nd Applitions. ISSN 973-53 Volume Number (7) pp. -8 Reserh Indi Publitions http://www.ripublition.om A Mthemtil Model for Unemployment-Tking n Ation without Dely Gulbnu Pthn Diretorte

More information

Electromagnetism Notes, NYU Spring 2018

Electromagnetism Notes, NYU Spring 2018 Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable INTEGRATION NOTE: These notes re supposed to supplement Chpter 4 of the online textbook. 1 Integrls of Complex Vlued funtions of REAL vrible If I is n intervl in R (for exmple I = [, b] or I = (, b)) nd

More information

(h+ ) = 0, (3.1) s = s 0, (3.2)

(h+ ) = 0, (3.1) s = s 0, (3.2) Chpter 3 Nozzle Flow Qusistedy idel gs flow in pipes For the lrge vlues of the Reynolds number typilly found in nozzles, the flow is idel. For stedy opertion with negligible body fores the energy nd momentum

More information

1 Bending of a beam with a rectangular section

1 Bending of a beam with a rectangular section 1 Bending of bem with rectngulr section x3 Episseur b M x 2 x x 1 2h M Figure 1 : Geometry of the bem nd pplied lod The bem in figure 1 hs rectngur section (thickness 2h, width b. The pplied lod is pure

More information

Some Aspects of Non-Orthogonal Stagnation-Point Flow towards a Stretching Surface

Some Aspects of Non-Orthogonal Stagnation-Point Flow towards a Stretching Surface Engineering, 00,, 705-709 doi:0.436/eng.00.909 Published Online September 00 (http://www.sirp.org/journl/eng) Some Aspets of Non-Orthogonl Stgntion-Point Flow towrds Strething Surfe Abstrt Mothr Rez, Andi

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

Bridging Methods for Atomistic-to-Continuum Coupling and Their Implementation

Bridging Methods for Atomistic-to-Continuum Coupling and Their Implementation Commun. Comput. Phys. doi:.428/ip.29.9.53 Vol. 7, No. 4, pp. 83-876 April 2 Bridging Methods for Atomisti-to-Continuum Coupling nd Their Implementtion Pblo Seleson nd Mx Gunzburger Deprtment of Sientifi

More information

University of Sioux Falls. MAT204/205 Calculus I/II

University of Sioux Falls. MAT204/205 Calculus I/II University of Sioux Flls MAT204/205 Clulus I/II Conepts ddressed: Clulus Textook: Thoms Clulus, 11 th ed., Weir, Hss, Giordno 1. Use stndrd differentition nd integrtion tehniques. Differentition tehniques

More information

Line Integrals and Entire Functions

Line Integrals and Entire Functions Line Integrls nd Entire Funtions Defining n Integrl for omplex Vlued Funtions In the following setions, our min gol is to show tht every entire funtion n be represented s n everywhere onvergent power series

More information

Modeling of Catastrophic Failures in Power Systems

Modeling of Catastrophic Failures in Power Systems Modeling of tstrophi Filures in Power Systems hnn Singh nd lex Sprintson Deprtment of Eletril nd omputer Engineering Texs &M hnn Singh nd lex Sprintson Modeling of tstrophi Filures Motivtion Reent events

More information

Composite Strut and Tie Model for Reinforced Concrete Deep Beams

Composite Strut and Tie Model for Reinforced Concrete Deep Beams Journl of Advned onrete Tehnology Vol. 7, No., 97-9, Februry 9 / opyright 9 Jpn onrete Institute 97 Sientifi pper omposite Strut nd Tie Model for Reinfored onrete Deep Bems Kil-Hee Kim, Woo-Bum Kim, Jin-Mn

More information

Part 4. Integration (with Proofs)

Part 4. Integration (with Proofs) Prt 4. Integrtion (with Proofs) 4.1 Definition Definition A prtition P of [, b] is finite set of points {x 0, x 1,..., x n } with = x 0 < x 1

More information

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE Southwestern U.S. Ground Motion Chrcteriztion Senior Seismic Hzrd Anlysis Committee Level 3 Workshop #2 October 22-24, 2013 A Brief Review on Akkr, Sndikky nd Bommer (ASB13 GMPE Sinn Akkr Deprtment of

More information

SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS

SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS IN-SITU PROBING OF DOMAIN POLING IN Bi 4 Ti 3 O 12 THIN FILMS BY OPTICAL SECOND HARMONIC GENERATION YANIV BARAD, VENKATRAMAN GOPALAN Mterils Reserh Lortory

More information

MATH Final Review

MATH Final Review MATH 1591 - Finl Review November 20, 2005 1 Evlution of Limits 1. the ε δ definition of limit. 2. properties of limits. 3. how to use the diret substitution to find limit. 4. how to use the dividing out

More information

INFLUENCE OF HYSTERETIC BEHAVIOR ON THE NONLINEAR RESPONSE OF FRAME STRUCTURES

INFLUENCE OF HYSTERETIC BEHAVIOR ON THE NONLINEAR RESPONSE OF FRAME STRUCTURES th World Conference on Erthquke Engineering Vncouver, B.C., Cnd August -, Pper No. 9 INFLUENCE OF HYSTERETIC BEHAVIOR ON THE NONLINEAR RESPONSE OF FRAME STRUCTURES Ricrdo A. MEDINA nd Helmut KRAWINKLER

More information

MARKOV MODEL: Analyzing its behavior for Uncertainty conditions

MARKOV MODEL: Analyzing its behavior for Uncertainty conditions MARKOV MODEL: Anlyzing its behvior for Unertinty onditions Llith.R.V.S Sri Si Adity Institute of Siene nd Tehnology,Surmplem e- mil: rvsllith@gmil.om Sri Divy.R Sri Si Adity Institute of Siene nd Tehnology,Surmplem

More information

Estimation of Sequence Components using Magnitude Information

Estimation of Sequence Components using Magnitude Information 6th NATIONAL POWER SYSTEMS CONFERENCE, 5th-7th DECEMBER, 2 47 Estimtion of Sequene Components using Mgnitude Informtion P.S. Ngendr ro nd Ssikirn Veknuru Deprtment of Eletril Engineering Indin Institute

More information

THE SIGNIFICANCE OF PROVIDING OF SHEAR WALLS IN TALL BUILDINGS

THE SIGNIFICANCE OF PROVIDING OF SHEAR WALLS IN TALL BUILDINGS THE SIGNIFICANCE OF PROVIDING OF SHEAR WALLS IN TALL BUILDINGS 1 V.Klpn, 2 N.R.Sngeeth, 3 M.Sheik Mohmed 1 Assistnt Professor, Civil Engineering Deprtment, AlimMuhmmedSlegh College of Engineering, Muthpudupet,

More information

VIBRATION ANALYSIS OF AN ISOLATED MASS WITH SIX DEGREES OF FREEDOM Revision G

VIBRATION ANALYSIS OF AN ISOLATED MASS WITH SIX DEGREES OF FREEDOM Revision G B Tom Irvine Emil: tom@virtiondt.om Jnur 8, 3 VIBRATION ANALYSIS OF AN ISOLATED MASS WITH SIX DEGREES OF FREEDOM Revision G Introdution An vionis omponent m e mounted with isoltor grommets, whih t s soft

More information

Electromagnetic-Power-based Modal Classification, Modal Expansion, and Modal Decomposition for Perfect Electric Conductors

Electromagnetic-Power-based Modal Classification, Modal Expansion, and Modal Decomposition for Perfect Electric Conductors LIAN: EM-BASED MODAL CLASSIFICATION EXANSION AND DECOMOSITION FOR EC 1 Eletromgneti-ower-bsed Modl Clssifition Modl Expnsion nd Modl Deomposition for erfet Eletri Condutors Renzun Lin Abstrt Trditionlly

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

EFEFCTS OF GROUND MOTION UNCERTAINTY ON PREDICTING THE RESPONSE OF AN EXISTING RC FRAME STRUCTURE

EFEFCTS OF GROUND MOTION UNCERTAINTY ON PREDICTING THE RESPONSE OF AN EXISTING RC FRAME STRUCTURE 13 th World Conference on Erthquke Engineering Vncouver, B.C., Cnd August 1-6, 2004 Pper No. 2007 EFEFCTS OF GROUND MOTION UNCERTAINTY ON PREDICTING THE RESPONSE OF AN EXISTING RC FRAME STRUCTURE Ftemeh

More information

Shear and torsion interaction of hollow core slabs

Shear and torsion interaction of hollow core slabs Competitive nd Sustinble Growth Contrct Nº G6RD-CT--6 Sher nd torsion interction of hollow core slbs HOLCOTORS Technicl Report, Rev. Anlyses of hollow core floors December The content of the present publiction

More information

Learning Objectives of Module 2 (Algebra and Calculus) Notes:

Learning Objectives of Module 2 (Algebra and Calculus) Notes: 67 Lerning Ojetives of Module (Alger nd Clulus) Notes:. Lerning units re grouped under three res ( Foundtion Knowledge, Alger nd Clulus ) nd Further Lerning Unit.. Relted lerning ojetives re grouped under

More information

Maintaining Mathematical Proficiency

Maintaining Mathematical Proficiency Nme Dte hpter 9 Mintining Mthemtil Profiieny Simplify the epression. 1. 500. 189 3. 5 4. 4 3 5. 11 5 6. 8 Solve the proportion. 9 3 14 7. = 8. = 9. 1 7 5 4 = 4 10. 0 6 = 11. 7 4 10 = 1. 5 9 15 3 = 5 +

More information

] dx (3) = [15x] 2 0

] dx (3) = [15x] 2 0 Leture 6. Double Integrls nd Volume on etngle Welome to Cl IV!!!! These notes re designed to be redble nd desribe the w I will eplin the mteril in lss. Hopefull the re thorough, but it s good ide to hve

More information

SECTION A STUDENT MATERIAL. Part 1. What and Why.?

SECTION A STUDENT MATERIAL. Part 1. What and Why.? SECTION A STUDENT MATERIAL Prt Wht nd Wh.? Student Mteril Prt Prolem n > 0 n > 0 Is the onverse true? Prolem If n is even then n is even. If n is even then n is even. Wht nd Wh? Eploring Pure Mths Are

More information

Metodologie di progetto HW Technology Mapping. Last update: 19/03/09

Metodologie di progetto HW Technology Mapping. Last update: 19/03/09 Metodologie di progetto HW Tehnology Mpping Lst updte: 19/03/09 Tehnology Mpping 2 Tehnology Mpping Exmple: t 1 = + b; t 2 = d + e; t 3 = b + d; t 4 = t 1 t 2 + fg; t 5 = t 4 h + t 2 t 3 ; F = t 5 ; t

More information

ILLUSTRATING THE EXTENSION OF A SPECIAL PROPERTY OF CUBIC POLYNOMIALS TO NTH DEGREE POLYNOMIALS

ILLUSTRATING THE EXTENSION OF A SPECIAL PROPERTY OF CUBIC POLYNOMIALS TO NTH DEGREE POLYNOMIALS ILLUSTRATING THE EXTENSION OF A SPECIAL PROPERTY OF CUBIC POLYNOMIALS TO NTH DEGREE POLYNOMIALS Dvid Miller West Virgini University P.O. BOX 6310 30 Armstrong Hll Morgntown, WV 6506 millerd@mth.wvu.edu

More information

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. 1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the

More information

Distributed Generation Placement in Unbalanced Distribution System with Seasonal Load Variation

Distributed Generation Placement in Unbalanced Distribution System with Seasonal Load Variation Distriuted Genertion Plement in Unlned Distriution System with Sesonl Lod Vrition Rvi Tej Bhimrsetti Dept. of Eletril Engg., NT Kurukshetr Kurukshetr, ndi svrtej@gmil.om Ashwni Kumr, Memer, EEE Dept. of

More information

(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P.

(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P. Chpter 7: The Riemnn Integrl When the derivtive is introdued, it is not hrd to see tht the it of the differene quotient should be equl to the slope of the tngent line, or when the horizontl xis is time

More information

Section 3.6. Definite Integrals

Section 3.6. Definite Integrals The Clulus of Funtions of Severl Vribles Setion.6 efinite Integrls We will first define the definite integrl for funtion f : R R nd lter indite how the definition my be extended to funtions of three or

More information

Comparing the Pre-image and Image of a Dilation

Comparing the Pre-image and Image of a Dilation hpter Summry Key Terms Postultes nd Theorems similr tringles (.1) inluded ngle (.2) inluded side (.2) geometri men (.) indiret mesurement (.6) ngle-ngle Similrity Theorem (.2) Side-Side-Side Similrity

More information

GM1 Consolidation Worksheet

GM1 Consolidation Worksheet Cmridge Essentils Mthemtis Core 8 GM1 Consolidtion Worksheet GM1 Consolidtion Worksheet 1 Clulte the size of eh ngle mrked y letter. Give resons for your nswers. or exmple, ngles on stright line dd up

More information

Non-Linear & Logistic Regression

Non-Linear & Logistic Regression Non-Liner & Logistic Regression If the sttistics re boring, then you've got the wrong numbers. Edwrd R. Tufte (Sttistics Professor, Yle University) Regression Anlyses When do we use these? PART 1: find

More information

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then. pril 8, 2017 Mth 9 Geometry Solving vetor prolems Prolem Prove tht if vetors nd stisfy, then Solution 1 onsider the vetor ddition prllelogrm shown in the Figure Sine its digonls hve equl length,, the prllelogrm

More information

Discrete Structures Lecture 11

Discrete Structures Lecture 11 Introdution Good morning. In this setion we study funtions. A funtion is mpping from one set to nother set or, perhps, from one set to itself. We study the properties of funtions. A mpping my not e funtion.

More information

( ) as a fraction. Determine location of the highest

( ) as a fraction. Determine location of the highest AB/ Clulus Exm Review Sheet Solutions A Prelulus Type prolems A1 A A3 A4 A5 A6 A7 This is wht you think of doing Find the zeros of f( x) Set funtion equl to Ftor or use qudrti eqution if qudrti Grph to

More information

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution Tehnishe Universität Münhen Winter term 29/ I7 Prof. J. Esprz / J. Křetínský / M. Luttenerger. Ferur 2 Solution Automt nd Forml Lnguges Homework 2 Due 5..29. Exerise 2. Let A e the following finite utomton:

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

QUADRATIC EQUATION. Contents

QUADRATIC EQUATION. Contents QUADRATIC EQUATION Contents Topi Pge No. Theory 0-04 Exerise - 05-09 Exerise - 09-3 Exerise - 3 4-5 Exerise - 4 6 Answer Key 7-8 Syllus Qudrti equtions with rel oeffiients, reltions etween roots nd oeffiients,

More information

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors Vectors Skill Achieved? Know tht sclr is quntity tht hs only size (no direction) Identify rel-life exmples of sclrs such s, temperture, mss, distnce, time, speed, energy nd electric chrge Know tht vector

More information

1B40 Practical Skills

1B40 Practical Skills B40 Prcticl Skills Comining uncertinties from severl quntities error propgtion We usully encounter situtions where the result of n experiment is given in terms of two (or more) quntities. We then need

More information

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths Intermedite Mth Cirles Wednesdy 17 Otoer 01 Geometry II: Side Lengths Lst week we disussed vrious ngle properties. As we progressed through the evening, we proved mny results. This week, we will look t

More information

Core 2 Logarithms and exponentials. Section 1: Introduction to logarithms

Core 2 Logarithms and exponentials. Section 1: Introduction to logarithms Core Logrithms nd eponentils Setion : Introdution to logrithms Notes nd Emples These notes ontin subsetions on Indies nd logrithms The lws of logrithms Eponentil funtions This is n emple resoure from MEI

More information

First compression (0-6.3 GPa) First decompression ( GPa) Second compression ( GPa) Second decompression (35.

First compression (0-6.3 GPa) First decompression ( GPa) Second compression ( GPa) Second decompression (35. 0.9 First ompression (0-6.3 GP) First deompression (6.3-2.7 GP) Seond ompression (2.7-35.5 GP) Seond deompression (35.5-0 GP) V/V 0 0.7 0.5 0 5 10 15 20 25 30 35 P (GP) Supplementry Figure 1 Compression

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

Section 1.3 Triangles

Section 1.3 Triangles Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior

More information

6.5 Improper integrals

6.5 Improper integrals Eerpt from "Clulus" 3 AoPS In. www.rtofprolemsolving.om 6.5. IMPROPER INTEGRALS 6.5 Improper integrls As we ve seen, we use the definite integrl R f to ompute the re of the region under the grph of y =

More information

Lecture 6. CMOS Static & Dynamic Logic Gates. Static CMOS Circuit. PMOS Transistors in Series/Parallel Connection

Lecture 6. CMOS Static & Dynamic Logic Gates. Static CMOS Circuit. PMOS Transistors in Series/Parallel Connection NMOS Trnsistors in Series/Prllel onnetion Leture 6 MOS Stti & ynmi Logi Gtes Trnsistors n e thought s swith ontrolled y its gte signl NMOS swith loses when swith ontrol input is high Peter heung eprtment

More information

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e Green s Theorem. Let be the boundry of the unit squre, y, oriented ounterlokwise, nd let F be the vetor field F, y e y +, 2 y. Find F d r. Solution. Let s write P, y e y + nd Q, y 2 y, so tht F P, Q. Let

More information

2008 Mathematical Methods (CAS) GA 3: Examination 2

2008 Mathematical Methods (CAS) GA 3: Examination 2 Mthemticl Methods (CAS) GA : Exmintion GENERAL COMMENTS There were 406 students who st the Mthemticl Methods (CAS) exmintion in. Mrks rnged from to 79 out of possible score of 80. Student responses showed

More information

Research on Supplier Evaluation about Delivery Ability Based on Hesitant Fuzzy Linguistic Term Set and Linear Assignment

Research on Supplier Evaluation about Delivery Ability Based on Hesitant Fuzzy Linguistic Term Set and Linear Assignment Interntionl Core Journl of Engineering Vol. No. 08 ISSN: -89 Reserh on Supplier Evlution bout Delivery Ability Bsed on Hesitnt Fuzzy Linguisti Term Set nd Liner Assignment Nin Zhng, Cilin Luo, Deqing Fu,

More information

Magnetically Coupled Coil

Magnetically Coupled Coil Mgnetilly Coupled Ciruits Overview Mutul Indutne Energy in Coupled Coils Liner Trnsformers Idel Trnsformers Portlnd Stte University ECE 22 Mgnetilly Coupled Ciruits Ver..3 Mgnetilly Coupled Coil i v L

More information

The Emission-Absorption of Energy analyzed by Quantum-Relativity. Abstract

The Emission-Absorption of Energy analyzed by Quantum-Relativity. Abstract The mission-absorption of nergy nlyzed by Quntum-Reltivity Alfred Bennun* & Néstor Ledesm** Abstrt The uslity horizon llows progressive quntifition, from n initil nk prtile, whih yields its energy s blk

More information

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry LECTURE 14 Dr. Teres D. Golden University of North Texs Deprtment of Chemistry Quntittive Methods A. Quntittive Phse Anlysis Qulittive D phses by comprison with stndrd ptterns. Estimte of proportions of

More information

Now we must transform the original model so we can use the new parameters. = S max. Recruits

Now we must transform the original model so we can use the new parameters. = S max. Recruits MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with

More information

Übungen zur Theoretischen Physik Fa WS 17/18

Übungen zur Theoretischen Physik Fa WS 17/18 Krlsruher Institut für ehnologie Institut für heorie der Kondensierten Mterie Übungen zur heoretishen Physik F WS 17/18 Prof Dr A Shnirmn Bltt 4 PD Dr B Nrozhny Lösungsvorshlg 1 Nihtwehselwirkende Spins:

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Fun Gme Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Fun Gme Properties Arrow s Theorem Leture Overview 1 Rep 2 Fun Gme 3 Properties

More information

EE 330/330L Energy Systems (Spring 2012) Laboratory 1 Three-Phase Loads

EE 330/330L Energy Systems (Spring 2012) Laboratory 1 Three-Phase Loads ee330_spring2012_l_01_3phse_lods.do 1/5 EE 330/330L Energy Systems (Spring 2012) Lortory 1 ThreePhse Lods Introdution/Bkground In this lortory, you will mesure nd study the voltges, urrents, impednes,

More information

Polyphase Systems. Objectives 23.1 INTRODUCTION

Polyphase Systems. Objectives 23.1 INTRODUCTION Polyphse Systems 23 Ojetives eome fmilir with the opertion of threephse genertor nd the mgnitude nd phse reltionship etween the three phse voltges. e le to lulte the voltges nd urrents for three-phse Y-onneted

More information

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals AP Clulus BC Chpter 8: Integrtion Tehniques, L Hopitl s Rule nd Improper Integrls 8. Bsi Integrtion Rules In this setion we will review vrious integrtion strtegies. Strtegies: I. Seprte the integrnd into

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Voting Prdoxes Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Voting Prdoxes Properties Arrow s Theorem Leture Overview 1 Rep

More information

A Non-parametric Approach in Testing Higher Order Interactions

A Non-parametric Approach in Testing Higher Order Interactions A Non-prmetri Approh in Testing igher Order Intertions G. Bkeerthn Deprtment of Mthemtis, Fulty of Siene Estern University, Chenkldy, Sri Lnk nd S. Smit Deprtment of Crop Siene, Fulty of Agriulture University

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information