Chapter 5 Weight function method

Size: px
Start display at page:

Download "Chapter 5 Weight function method"

Transcription

1 Chpter 5 Weight function method The weight functions re powerful method in liner elstic frcture mechnics (Anderson, 1995; Td, Pris & rwin, 2). nitilly they were used for clculting the. The underlying hypothesis of the method is the principle of superposition, which llows for the clcultion of the due to vrious forces cting on the specimen or structure (see Figure 5.1) nd is vlid in the liner elstic rnge of the mteril s behvior. n this section, the weight function method is developed in some detil for the clcultions of crck opening displcements for Mode plne problems with through-the-thickness crck. Figure 5.1 Principle of superposition pplied on centrlly crcked specimen. The specimen is loded by σ ( x) nd by continuous bridging trction ϕ (x). 5.1 Stress intensity fctor For the geometry nd loding configurtion shown in Figure 5.2 the is, K (,) 2 F, π x (5.1) b x b B Figure 5.2 Specimen with n edge crck loded with dipole force. Mrch

2 ( /,/b) where is force per unit length (long the thickness, B), Fx is known nondimensionl function of specimen geometry (see Appendix nd Td, Pris & rwin, 2). When the force (clled dipole force) is unity, we define the following function, 2 π x b g x, F, 1 (5.2) s the weight function (or Green s or influence function). The definition implies tht g is the for unit dipole force. There exist weight functions for other configurtions. They re obtined by nlyticl or numericl techniques [6]. For crck in n infinite plte shown in Figure 5.3, nd unit dipole force, the closed form solution for the weight functions re, Figure 5.3 nfinitely lrge plte with centrl crck of length 2. g g A B ( x,) ( x,) + x π -x 1 -x π + x 1 (5.3) (5.3b) When it is not possible to obtin such functions nlyticlly, numericl metho bsed on finite elements re often used. An exmple of determining using such method is presented in Appendix V. Knowledge of such functions for body with crck, llows for the determintion of due to vrious lo tht pply nywhere on the specimen. n either cse shown erlier, if concentrted dipole force P is pplied on the crck fces t distnce x from the reference system of coordintes, the cn be expressed s, Mrch

3 K P, Pg x, (5.4) f distributed lod is pplied on the crck fces s shown in Figure 5.4, the is obtined by setting P(x) ϕ dx in (5.4) (lod per unit thickness) nd integrting to obtin, ( x) c 2 ( ϕ ) ϕ K, x g x, dx c1 5.5) f the forces, concentrted or distributed, pply nywhere on the specimen, nd not on the crck fces, we use the principle of superposition to bring the problem to n equivlent one where surfce trctions pply. Therefore, we solve the equivlent problem using the influence or weight function method. y c 2 ϕ (x) x c 1 ϕ (x) b Figure 5.4 nfinitely lrge plte with crck loded with distributed surfce trction ϕ. 5.2 Crck opening displcements Consider crcked body loded s shown in Figure 5.5. For simplicity we consider only mode. The other modes, cn be treted similrly. Assuming liner elstic behvior, the potentil energy of the solid is given by, ( x) Π P P P P + P P U where U is the elstic strin energy (see lso chpter 3). t consists of two prts, tht of the bulk mteril U no crck nd the portion due to the crck. The elstic energy relese rte (ERR) G, per unit specimen thickness, under controlled lo is, G ( P,,) Π U P, (5.6) Mrch

4 ntegrting (5.6) we obtin, no crck U(P,, ) U(P,,) U + d no crck U + G (P,, )d (5.7) To obtin displcements t ny point on the body we use the theorem of Cstiglino (Del Pedro, Gmür & Botsis, 21). According to this theorem, the displcement of point in the direction of the pplied lod t tht point is given by the derivtive of U with respect to the lod pplied t tht point. Figure 5.5 Crcked body loded with force P nd dipole. P nd re the displcements in the direction of the forces nd d is the distnce before deformtion. f no lod pplies in the direction of the sought displcement, virtul dipole force is pplied in the direction of the displcement to be determined nd U is clculted using stndrd procedures. Once U is known, due to the ctul lo nd the virtul force, we tke the derivtive of U with respect to the virtul force t zero virtul force. The derivtive defines the displcement t the specified point in the direction of the virtul force. The procedure outlined bove is used to clculte CODs in the mnner described in the following sections. Suppose tht the displcements P nd (Figure 5.5) re sought. According to the theorem of Cstiglino we hve, no crck G P,, U P + d P (5.8) P no crck G P,, U + d (5.8b) Mrch

5 Define, no crck U P no crck P nd no crck U no crck And recll tht 2 G K /E nd K(P,,)K (P,) + K (,). Thus, G P,, 2 K P, K, E K P, + K, + (5.9) 2 with K P, / nd where E E for plne stress nd E E/(1 ν ) for plne strin. Using eqs (5.8) (5.8b) nd (5.9) nd tking, the corresponding displcements re, ( P, ) 2 K no crck P P + K P, d E (5.1) P no crck 2 K, + K P, d E (5.11) Note tht in (5.11), K(,)/ does not depend on nd K(,) when. When we seek the displcement t the crck fces, i.e. the COD, t distnce from the origin of the coordinte reference system, the term no crck is zero nd the COD t the point where the dipole pplies is, 2 K, K P, d E (5.12) The lower limit of the integrl in (5.12) is set s becuse K(,)/ when <. Therefore, by using informtion tht is lredy vilble bout crcked body (e.g. stress intensity fctors) we cn determine the COD long the crck fce. Exmple To illustrte the method described bove, the mximum crck opening of centrl crck of length 2, in n infinite body under uniform, unixil pplied stress σ, is determined. Due to symmetry, the mximum crck opening occurs t x (Figure 5.6). Thus, we pply virtul force on the top nd bottom surfces of the crck t x. For the corresponding s, we know tht (see 4.37 nd 5.3), K ( σ,) σ π nd K (,) π We need to consider the effects of both crck tips nd write using eq. (5.12), Mrch

6 2 K (, ) 2 K (, ) K(,) d K(,) -d E σ + σ E (right hnd crck tip) (left hnd crck tip) σ σ E E π 1 1 4σ 2 π d + 2 π (-d ) π E Note: to reduce the problem we could hve used symmetry to write, 2 K (, ) 2 K (, ) d E σ, from the first step. To obtin the COD t point x, we need to pply the dipole force, t distnce x from the center (where the origin of the coordinte system my be ttched). Figure 5.6 Centrl crck in n infinite plte subjected to remote stress σ Crck opening displcement - Generl formultion We cn generlise the bove-mentioned formlism in the cse where severl forces pply on the body. f the body is subjected to set of forces P i ( i 1,,n), the displcement, is, where no crck 1 k n P k P + K k P 1,...,P k,...,p n, d E P k 2 K P,...,P,...,P, K ( P,) no crck 2 k P + K k P 1,...,P k,...,p n, d E P k K ( P,...,P,...,P,) K P, n 1 k n i i 1 is the totl for the prticulr mode of frcture. The displcement between two points nywhere in the body where no force pplies is, P k Mrch

7 no crck 2 K, + ( 1 k n ) K P,...,P,...,P, d E where is virtul dipole force pplied t the corresponding points. f the COD is sought,, nd, no crck 1 k n E 2 K, COD u K P,...,P,...,P, d (5.13) where is the distnce from the reference xis to the dipole force. Recll the expressions for the weight functions (5.2 or 5.4) nd define, ( ) g, K, (5.14) Therefore, when K (,) is known, for the COD nd (5.13) cn be written s, K, cn be looked upon s weight function 2 COD u K P,...,P,...,P, g, d E ( 1 k n ) ( ) (5.15) Strting from (5.15), we wnt to express K ( P,...,P,...,P,) t generl expression for the COD. 1 k n with weight function nd rrive y P u x x P x 1 Suppose we need the COD t point x 1 due to unit dipole force P1, t x. n this cse, the K P,...,P,...,P, tkes the form (lso see 5.4), 1 k i Figure 5.7 Mode crck subjected to dipole force P 1. Mrch

8 K P, g x, P 1 nd the COD due to the unit dipole force t is obtined from (5.15) s ( s), x 2 u x,x, g x,s g x,s g x,x, COD E mx( x,x1) (5.16) COD u g x,x 1, x1 Define s weight function for the COD t due to unit dipole force pplied on the crck fces t x estblished on the bsis of g. COD (Figure 5.7). t is importnt to notice here tht the g is Note tht the integrl in (5.16) is over the crck length nd tht the weight function(s) re zero if the crck length is smller thn x or x 1. To ccount for it, the lower limit in (5.16) is tken s the mx(x,x 1 ). Eqution (5.16) cn be used to determine the COD t ny point of the crck due to known dipole force on the crck fces. Consider the configurtion shown in Figure 5.8. The COD due to ϕ is obtined by integrting (5.16) over the length of ppliction of ϕ ( x). ( x) σ y ϕ (x) x c σ Figure 5.8 Mode crck under remote stress σ (x) nd trctions ϕ( x) Accordingly, with c 1 -c, the COD t x 1 is, on the crck fces. COD u ϕ,x, 1 g x,x, 1 ϕ x dx (5.17) c1 Mrch

9 ntroducing (5.16) in (5.17) we rrive t, or ( ϕ ) ϕ 1 E c1 mx( x,x1) 2 u,x, g x,s g x,s x dx 1 2 s u ( ϕ,x 1,) g ( x,s) ( x) dx g ( x,s) E ϕ 1 mx( x,x1) c 1 (5.18) N ote tht the integrl, in the brckets is the due to ϕ( x ). This is lso evident by comprison of eq. (5.18) with eq. (5.12). The double integrl in (5.18) gives the COD t ny point on the crck fces due to trctions on the crck. To pply the sme procedure for ny lod (i.e. lod pplied nywhere on the body) we use the principle of superposition to represent the lod in the body with n equivlent trction distribution on the crck fces. f the ltter step is crried out, (5.18) is used for the COD t ny point on the crck fce. A simple exmple to illustrte the lst point is the COD due to remote stress σ ( x) principle of superposition results in n equivlent loding cse which consists of the sme specimen with σ x pplied on the crck fces. Thus, s 2,x 1,) g ( x,s) σ( x) dx g ( x 1,s) E mx( x,x1) c 1. The (5.19) where the integrl in the brckets is the of the specimen subjected to σ ( x). Referring to Figures 5.1 nd 5.8, if ϕ ( x) σ ( x) b ϕ ( x) is bridging trction distribution, i.e.,, due to the reinforcement in composite mteril, the totl COD is, s 2,x, u,x, g x,s x dx g x,s ( σ σ ) ( σ ) σ u, b 1 1 b 1 E mx( x,x1) (5.2) The COD given by (5.2) is the totl displcement of the crck fces. When the COD is mesured with respect to the middle plne of the crck, the coefficient 2 is eliminted from (5.19) nd (5.2). Note tht the function defined in (5.4), is re-written s, g x, 2g x, Mesuring the COD from the middle plne of the crck nd using the bove definition for the weight function, reltions ( 5. 19) nd (5.2) cn be expressed, for point x, s, Mrch

10 s (5.21) mx( x,x) 4,x,) g ( x,s) σ ( x ) dx g ( x,s) E nd s 4, σ,x,),x,) g ( x,s) σ ( x) dx g ( x,s) b b E mx( x,x) (5.22) Anlyticl expressions for the weight functions for certin common specimens hve been reported in the literture. For other geometries the weight function cn be generted numericlly, for instnce by creting finite element model where unit dipole force is pplied t different points on the crck fce (Td, Pris & rwin, 2; Fret & Munz, 1997). 5.3 Exmples Centrl crck in n infinite plte Consider the centrl crck specimen shown in the Figure 5.1. The specimen is loded by uniform remote stress σ, nd constnt continuous pressure p on the crck fces long its entire length. Assuming tht /b clculte the crck opening displcement due to the combined lo u(x). The weight function for crck in n infinite plte is given by, 1 1 g(x,) π 1 x / 2 2 (5.23) According to ( 5.22 ), the COD is given by, s 4,p,x,),x,) g( x ) E,s pdx g x,s () x where, s 4,x,) g ( x,s) σ dx g ( x,s) E x (b) ntegrl (b) results in, 4,x,) E s σdx πs 1 x /s πs 1 x /s x s 4σ 1 1 1,x,) dx π E s x 1 x /s 1 x /s Mrch

11 s 4σ 1 1 x 4σ 1 s π,x,) s rcsin πe s 2 2 s E s x 1 x /s π x 1 x /s s 2σ 2σ 2σ 2 2,x,) s x E 1 x /s E s x E x x x 2σ 2 2,x,) x (c) E Figure 5.9 Lrge plte with centrl crck subjected to remote stress σ, on its boundry nd pressure p, long the crck fces. n similr mnner, integrtion of the second term on the right-hnd-side of eq. () results in, 2p u p,x, x E 2 2 (d) Therefore the totl displcement is, 2( σ p) u,p,x, x E 2 2 ( σ ) (e) Edge crck in semi-infinite plte Consider the single edge notched specimen shown in Figure 5.1 t is loded by remote stress σ. The crck of length, is bridged by prticle long prt of the crck s shown in the figure. The pressure p, pplied by the prticle, is ssumed to be constnt long the bridged section. The crck opening displcement, is mesured experimentlly t x. Determine the vlue of the pressure imposed by the prticle. Mrch

12 Figure 5.1 Single edge notched specimen loded by σ nd bridged by constnt pressure p. Assuming lrge width of the plte (i.e, Appendix ), /b ), the weight function for the problem is (see g x, (x/) F(x,) 2 π π 1 (x/) 3/2 (5.24) The trctions on the crck fce re, σ (x ) p for / 2 x 3 / 4 b σ (x ) for x / 2 nd x 3 / 4 b () The generl expression for the crck opening is given by (5.22), s 4, σ,x,),x,) g ( x,s) σ ( x) dx g ( x,s) b b E mx( x,x) Due to the loding s shown by (), the integrl becomes, for x /2, 3/4 4p,p,x,),x,) g( x,s) dx g ( x,s) E /2 / 2 (b) with s 4σ,x,) g ( x,s) dx g ( x,s) E x (c) Mrch

13 To obtin p, we need to tke the COD given theoreticlly by (b) t x, multiply it by 2 nd set it equl to the mesured one ( ), 3/4 4p 2,p,,) 2,,) g ( x,s) dx g ( x,s) E /2 / 2 x Therefore, the pressure p is given by, ( σ ) E 2u,, p 3/4 8 g( x,s) dx g( x,s) /2 / 2 x (d) nserting (5.24) in (d) nd integrting we obtin the pressure in terms of the specimen geometry, pplied externl stress nd Young s modulus. Often, in such problems numericl integrtion is necessry to rrive to numericl vlue. 5.4 An ppliction of the weight function method to composites There re severl mechnisms tht cn slow or even stop the propgtion of crck through mteril. Figure 5.11 shows severl exmples of such mechnisms. Some re due to the presence of two or more mterils (i.e. in composite) ner the crck, s in crck deflection by obstcles, crck bridging by prticles or fibers, etc. Other mechnisms tht slow crck propgtion re due to trnsformtion in the mteril ner the crck tip, s oxide-induced closure, plsticity-induced closure or crck shielding by mcrocrcks. Such mechnisms often dominte the crck behvior in structure. We consider the mechnism of crck bridging by fibers becuse it plys one of the most importnt roles in the strength of fiber-reinforced composites. Typiclly, reinforcing fibers hve higher stress-to-filure thn the mtrix, thus the crck propgtes initilly through the mtrix leving the fibers intct. Figure 5.12 () nd (b) re photogrphs of mtrix crcks in two different composites. The first is titnium mtrix with long ligned SiC fibers nd the second is cermic mtrix reinforced with SiC whiskers. n both cses the crck hs completely trversed the mtrix, however, the fibers re undmged. Reinforcing fibers in composites ct to slow the propgtion of mtrix crcks through two simultneous effects, The intct fibers bridging the crck pply bridging trctions to the crck fces which ct to close the crck. The fibers hed of the crck tip increse the stiffness of the mteril close to the crck tip which reduces the deformtion ner the crck tip. These effects chnge significntly the stress-strin reltion of fiber reinforced composite once mtrix crcking hs begun, s shown qulittively in Figure Below the stedy stte crcking stress σc, the stress strin behvior is liner with n effective elstic modulus Ec. Mrch

14 When the lod is incresed to σ c mtrix crck propgtes, cusing sudden increse in strin under the sme lod. Since the fibers re still intct, the composite continues to support the full lod. However, s the lod is further incresed the fibers rech their yield limit nd brek. σ c Note tht due to the sttisticl vribility in the strength of the fibers, not ll fibers brek t the sme time, explining the slight descent of the stress-strin curve before the complete filure of the composite. The gol of this ppliction is to use the weight function technique to describe n effective stress intensity fctor t the crck tip, tking into ccount the fiber bridging. n concrete terms, we need to define the effective K in terms of the crck length, the COD profile u(x), nd the fiber spcing Λ, which re ll quntities tht we cn mesure experimentlly. These vribles re shown on schemtic of bridging zone in Figure The problem is considered to be 2D. Such simplifiction is relistic in the cse of lrge fiber volume frctions. The influences of 3D effects (such s fiber geometry nd specimen thickness) re still the subject of current reserch in this re. Figure 5.11 Common mechnisms tht slow crck propgtion (Suresh, 1991). Mrch

15 () (b) Figure 5.12 Exmples of crck fiber bridging, () SiC fibers bridging crck in titnium mtrix, (b) whisker reinforced cermic (Anderson, 1995). Figure 5.13 Stress-strin behvior of fiber-reinforced composite experiencing mtrix crcking: () liner behvior, (1) mtrix crcking, (2) fiber filure Effective stress intensity fctor A first pproch to determine the effective stress intensity fctor is to model the fiber bridging trctions s series of point lo, ech pplied t the center of the fiber. This loding scheme is shown in Figure ncluded in this ssumption is perfect interfce between the fiber nd the mtrix (since the force is only pplied t one point of the fiber). For n ctul crck in composite mteril, prticulrly ftigue crck in which considerble fiber slipping nd fiber/mtrix debonding occurs, this ssumption is not vlid. However this technique gives us first estimte of K. Lter, we tret distributed bridging trctions model, in which we cn ssume the effects of fiber/mtrix debonding. Mrch

16 Figure 5.14 Schemtic of bridging zone in fiber reinforced composite, 2D representtion. The bridging trctions re defined s the series of point lo {p i, c i } (i 1,...n), where p i is the mgnitude of ech point lod nd c i is the loction long the x-xis where it is pplied. The problem is considered to be symmetric bout x, thus p i cts on both the upper nd lower surfce of crck. The remote loding σ, cn be uniform or ny other distribution for which the stress intensity fctor cn be clculted for the homogeneous problem (i.e. without the presence of bridging fibers). The COD t the loction ci is defined s i. Figure 5.15 Prmeters of discrete bridging fibers model. One cn use the principle of superposition to divide the problem into tht of the remote loding nd tht of the bridging trctions pplied to n unloded body. The loding cn be further broken down into the remote stress plus ech individul fiber bridging trction pplied to n Mrch

17 unloded body. This scheme is shown in Figure Thus, the K, is given by the following eqution, i i 1 n K K ( σ,) + K (p,) (5.25) where K( σ,) is the due to the remote lod nd K (p i,) is the stress intensity fctor due to single bridging force pi which cn be determined using eq (5.1), i i K( p i,) 2p F, π c b (5.25b) When the bridging forces in ech fiber re known, K cn be esily clculted. However, this is not s simple becuse it is not possible to experimentlly mesure the bridging forces directly in ech fiber. Thus, it is necessry to clculte the forces bsed upon quntities tht we cn mesure. For instnce, we cn mesure the COD reltively esily using opticl techniques such s Electronic Speckle Pttern nterferometry (ESP) nd derive the bridging forces from the COD. While such clcultions re not trivil, n efficient numericl solution cn be developed bsed upon the weight function method. For ech fiber (i 1,..., n) we consider its loction c i, nd the corresponding COD i, s known nd the force in the fiber p i s unknown. Define the COD t point c i due to unit dipole lod pplied t c j, s. As seen erlier with the weight function method, the totl displcement t ij point ci, is given by the sum of the ij plus the displcement t ci due to the remote lod i, + i i n j1 ij (5.26) The vlues trctions. i cn be clculted nlyticlly for ech point nd re independent of the bridging The displcements ij, re expressed in terms of weight function, 8p ij j E mx(c i,c j) i j g c,s g c,s (5.27) For exmple, the weight function for centrl crck in n infinite plte nd for single edge notched specimen when / b re given by eqs (5.23) nd (5.24), respectively, i.e., 1 1 g(x,) π 1 x / 2 2 (5.23) nd, Mrch

18 g x, 3/ (x/) π 1 (x/) 2 (5.24) Figure 5.16 Principle of superposition pplied to crck under remote lod nd bridging forces. Note tht g( x,) is strictly function of the specimen geometry which becomes importnt when we consider the speed of the clcultions. Figure 5.17 shows the effect of two bridging fibers on the COD of single edge crck. The weight function for this exmple is tht given by eq. (5.24). The grph shows the COD, clculted t 5 points long the crck length, for severl mgnitudes of pplied trctions, with p 1 2p 2 for ll cses. The solid line is plot of the COD due to the remote lod σ, tken s uniform. Note tht the COD t the point where force pplies, due to tht sme force, is not defined. Thus, few points round the bridging forces re excluded from the plots in Figure The COD in Figure 5.17 is obtined from know bridging trctions. However, wht is of greter interest is the inverse problem. Tht is, the clcultion of the trctions bsed on known COD profile. Mrch

19 n the following, method for the determintion of the bridging trctions from the COD is outlined bsed on the formlism presented bove Discrete bridging model For ese of clcultion, we cn lso write eq. (5.26) in mtrix form. Setting eq. (5.27) in the form, ij ij p j (no summtion over j) eq. (5.26) is written s, + i i n j1 ij p j where n is the number of bridging forces (Figure 5.16). n vector form the lst reltion tkes the form, or { { } { } + { p} b where } { p} (5.28) is n nxn mtrix nd { p }, { b } re vector relted by { b } { p }. The chrcteristic tht mkes this technique powerful is its efficiency. The mtrix vector { } nd the depend only upon the specimen geometry which mens tht one cn clculte nd { } once for given specimen type nd store them for future clcultions. This is by fr the most time consuming clcultion in this procedure. Then, for given set of dt, one cn quickly clculte the vector { b }, nd solve eq. (5.28) for { p }. Unfortuntely, the mtrix is ill defined when we consider the COD t the points where the bridging forces pply. This is due to singulrity of the weight function when we consider the COD t the point of the pplied bridging force. To void this problem, we cn replce the concentrted forces with n equivlent stress distribution over the fiber dimeter. Another wy to void the singulrity is to mesure CODs t points other thn those where the concentrted forces re pplied nd use them s input to the bove equtions. A concern tht rises next is with regrd to the loction of the COD mesurements used in the method. Since the number of the COD mesurements should be t lest equl to the number of fibers in the bridging zone, the points of mesurements should be chosen so tht the error in the trctions is minimized. Mrch

20 Figure 5.17 Effects of two bridging fibers on the COD of single edge notched specimen with p 1 2p 2 for ech loding condition nd c 1.3, c Distributed bridging trctions model The requirements of the discrete model (i.e. the bridging trctions re pplied s point lo nd the mtrix is perfectly bonded to the fibers) re difficult to meet. To simplify the problem, the lrge number of bridging fibers in typicl composite, is replced by distributed closing trctions (the bridging trctions) on the crck fces. The procedure followed for this model is the sme s for the discrete point lo described in the previous section. Once gin we use the principle of superposition. Thus, we cn write the COD in terms of the sme weight functions s before, however, now the effect due to the bridging trctions is integrted long the crck length nd weighted by the function x. The function u(x) is the COD due to the remote lod (see eq. 5.22). ϕ s 4 u( x) u ( x) g( x,s) ϕ( x) dx g( x,s) E (5.22) x Figure 5.18 presents n exmple of the COD clcultion. The exmple is once gin single edge crck under uniform remote lod with pplied bridging trctions due to two fibers. However, in this exmple the trctions re pplied s uniform lod distributed over the fiber dimeter, s shown. The clculted COD is plotted for severl vlues of pplied bridging trctions. Note the difference between the COD in Figure 5.18 nd tht in Figure Unfortuntely, the solution of the inverse problem (i.e. determine ϕ( x) from mesured u(x)) is not solvble directly s tht for the discrete fiber force model presented before. nsted we hve n inverse integrl eqution to solve. Two techniques to solve this eqution cn be used. First: solve the eq. (5.22) using n itertive procedure. This procedure cn require lot of computing time, lthough it cn be reduced by choosing n initil guess for the bridging trctions tht is plusible bsed on previous experience. This technique is not Mrch

21 prcticl when there re mny sets of dt to tret becuse the computtion must be restrted from the beginning for ech new set of dt. Second: pproximte ϕ x by piecewise continuous function. Suppose tht the COD dt re given t discrete points N. Next, we divide the entire intervl of points into smller intervls nd define the function, N 1 x x x ϕ ( x) ϕ h ( x ) h ( x) j1 j j j j (5.29) j1 x < x j1, x > x j which is piecewise-continuous pproximtion of the function ϕ( x). By choosing / N «D, where D is the fiber dimeter, the function ϕ ( x) cn be well pproximted by this piecewise function. This pproximtion lso permits discontinues in ϕ ( x). Substituting into eq. (5.22) for ϕ( x) nd performing some lgebr, we cn rewrite eq. (5.22) in mtrix form similr to eq. (5.28). The detils re not presented here, however, using lest squres optimiztion, one cn reduce esily the solution 1. As in the cse of the discrete model, the mtrices depend only upon the geometry nd thus need only be clculted once. The solution is thus much more rpid thn the itertive procedure if there re mny sets of dt to tret. Figure 5.18 Effects of two bridging fibers on the COD. The ttrctions re distributed over the fiber dimeter, D.1. c 1.35, c The specimen is loded with σ (not shown for clrity). 1 M. Studer, J. Pietrzyk, K. Peters, J. Botsis nd P. Giccri (22), nterntionl Journl of Frcture, Vol. 114, pp Mrch

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS. THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem

More information

MAC-solutions of the nonexistent solutions of mathematical physics

MAC-solutions of the nonexistent solutions of mathematical physics Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE

More information

Module 1. Energy Methods in Structural Analysis

Module 1. Energy Methods in Structural Analysis Module 1 Energy Methods in Structurl Anlysis Lesson 4 Theorem of Lest Work Instructionl Objectives After reding this lesson, the reder will be ble to: 1. Stte nd prove theorem of Lest Work.. Anlyse stticlly

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

Solution Manual. for. Fracture Mechanics. C.T. Sun and Z.-H. Jin

Solution Manual. for. Fracture Mechanics. C.T. Sun and Z.-H. Jin Solution Mnul for Frcture Mechnics by C.T. Sun nd Z.-H. Jin Chpter rob.: ) 4 No lod is crried by rt nd rt 4. There is no strin energy stored in them. Constnt Force Boundry Condition The totl strin energy

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

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph

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

Numerical integration

Numerical integration 2 Numericl integrtion This is pge i Printer: Opque this 2. Introduction Numericl integrtion is problem tht is prt of mny problems in the economics nd econometrics literture. The orgniztion of this chpter

More information

CBE 291b - Computation And Optimization For Engineers

CBE 291b - Computation And Optimization For Engineers The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn

More information

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

Chapter 3 Polynomials

Chapter 3 Polynomials Dr M DRAIEF As described in the introduction of Chpter 1, pplictions of solving liner equtions rise in number of different settings In prticulr, we will in this chpter focus on the problem of modelling

More information

Lecture 14: Quadrature

Lecture 14: Quadrature Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1 Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution

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

1 1D heat and wave equations on a finite interval

1 1D heat and wave equations on a finite interval 1 1D het nd wve equtions on finite intervl In this section we consider generl method of seprtion of vribles nd its pplictions to solving het eqution nd wve eqution on finite intervl ( 1, 2. Since by trnsltion

More information

The Wave Equation I. MA 436 Kurt Bryan

The Wave Equation I. MA 436 Kurt Bryan 1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string

More information

Math& 152 Section Integration by Parts

Math& 152 Section Integration by Parts Mth& 5 Section 7. - Integrtion by Prts Integrtion by prts is rule tht trnsforms the integrl of the product of two functions into other (idelly simpler) integrls. Recll from Clculus I tht given two differentible

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

Numerical Integration

Numerical Integration Chpter 5 Numericl Integrtion Numericl integrtion is the study of how the numericl vlue of n integrl cn be found. Methods of function pproximtion discussed in Chpter??, i.e., function pproximtion vi the

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

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

Review of basic calculus

Review of basic calculus Review of bsic clculus This brief review reclls some of the most importnt concepts, definitions, nd theorems from bsic clculus. It is not intended to tech bsic clculus from scrtch. If ny of the items below

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth 3 Exm Prctice Februry 8, 03 Exm will cover 7.4, 7.5, 7.7, 7.8, 8.-3 nd 8.5. Plese note tht integrtion skills lerned in erlier sections will still be needed for the mteril in 7.5, 7.8 nd chpter 8. This

More information

Review of Gaussian Quadrature method

Review of Gaussian Quadrature method Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge

More information

Recitation 3: More Applications of the Derivative

Recitation 3: More Applications of the Derivative Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. Description

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

14.4. Lengths of curves and surfaces of revolution. Introduction. Prerequisites. Learning Outcomes

14.4. Lengths of curves and surfaces of revolution. Introduction. Prerequisites. Learning Outcomes Lengths of curves nd surfces of revolution 4.4 Introduction Integrtion cn be used to find the length of curve nd the re of the surfce generted when curve is rotted round n xis. In this section we stte

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Statistical Physics I Spring Term Solutions to Problem Set #1

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Statistical Physics I Spring Term Solutions to Problem Set #1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Deprtment 8.044 Sttisticl Physics I Spring Term 03 Problem : Doping Semiconductor Solutions to Problem Set # ) Mentlly integrte the function p(x) given in

More information

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1 Difference Equtions to Differentil Equtions Section.8 Distnce, Position, nd the Length of Curves Although we motivted the definition of the definite integrl with the notion of re, there re mny pplictions

More information

Lecture 20: Numerical Integration III

Lecture 20: Numerical Integration III cs4: introduction to numericl nlysis /8/0 Lecture 0: Numericl Integrtion III Instructor: Professor Amos Ron Scribes: Mrk Cowlishw, Yunpeng Li, Nthnel Fillmore For the lst few lectures we hve discussed

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

Calculus of Variations

Calculus of Variations Clculus of Vritions Com S 477/577 Notes) Yn-Bin Ji Dec 4, 2017 1 Introduction A functionl ssigns rel number to ech function or curve) in some clss. One might sy tht functionl is function of nother function

More information

Conservation Law. Chapter Goal. 5.2 Theory

Conservation Law. Chapter Goal. 5.2 Theory Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very

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

13.4 Work done by Constant Forces

13.4 Work done by Constant Forces 13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push

More information

Continuous Random Variables

Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 217 Néhémy Lim Continuous Rndom Vribles Nottion. The indictor function of set S is rel-vlued function defined by : { 1 if x S 1 S (x) if x S Suppose tht

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

Chapter 14. Matrix Representations of Linear Transformations

Chapter 14. Matrix Representations of Linear Transformations Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn

More information

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

221B Lecture Notes WKB Method

221B Lecture Notes WKB Method Clssicl Limit B Lecture Notes WKB Method Hmilton Jcobi Eqution We strt from the Schrödinger eqution for single prticle in potentil i h t ψ x, t = [ ] h m + V x ψ x, t. We cn rewrite this eqution by using

More information

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy

More information

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell Jckson 2.26 Homework Problem Solution Dr. Christopher S. Bird University of Msschusetts Lowell PROBLEM: The two-dimensionl region, ρ, φ β, is bounded by conducting surfces t φ =, ρ =, nd φ = β held t zero

More information

Numerical Analysis: Trapezoidal and Simpson s Rule

Numerical Analysis: Trapezoidal and Simpson s Rule nd Simpson s Mthemticl question we re interested in numericlly nswering How to we evlute I = f (x) dx? Clculus tells us tht if F(x) is the ntiderivtive of function f (x) on the intervl [, b], then I =

More information

Chapters 4 & 5 Integrals & Applications

Chapters 4 & 5 Integrals & Applications Contents Chpters 4 & 5 Integrls & Applictions Motivtion to Chpters 4 & 5 2 Chpter 4 3 Ares nd Distnces 3. VIDEO - Ares Under Functions............................................ 3.2 VIDEO - Applictions

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

4.4 Areas, Integrals and Antiderivatives

4.4 Areas, Integrals and Antiderivatives . res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order

More information

A. Limits - L Hopital s Rule ( ) How to find it: Try and find limits by traditional methods (plugging in). If you get 0 0 or!!, apply C.! 1 6 C.

A. Limits - L Hopital s Rule ( ) How to find it: Try and find limits by traditional methods (plugging in). If you get 0 0 or!!, apply C.! 1 6 C. A. Limits - L Hopitl s Rule Wht you re finding: L Hopitl s Rule is used to find limits of the form f ( x) lim where lim f x x! c g x ( ) = or lim f ( x) = limg( x) = ". ( ) x! c limg( x) = 0 x! c x! c

More information

10 Vector Integral Calculus

10 Vector Integral Calculus Vector Integrl lculus Vector integrl clculus extends integrls s known from clculus to integrls over curves ("line integrls"), surfces ("surfce integrls") nd solids ("volume integrls"). These integrls hve

More information

x = b a N. (13-1) The set of points used to subdivide the range [a, b] (see Fig. 13.1) is

x = b a N. (13-1) The set of points used to subdivide the range [a, b] (see Fig. 13.1) is Jnury 28, 2002 13. The Integrl The concept of integrtion, nd the motivtion for developing this concept, were described in the previous chpter. Now we must define the integrl, crefully nd completely. According

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b CHAPTER 5. INTEGRALS 61 where nd x = b n x i = 1 (x i 1 + x i ) = midpoint of [x i 1, x i ]. Problem 168 (Exercise 1, pge 377). Use the Midpoint Rule with the n = 4 to pproximte 5 1 x e x dx. Some quick

More information

DIRECT CURRENT CIRCUITS

DIRECT CURRENT CIRCUITS DRECT CURRENT CUTS ELECTRC POWER Consider the circuit shown in the Figure where bttery is connected to resistor R. A positive chrge dq will gin potentil energy s it moves from point to point b through

More information

CS667 Lecture 6: Monte Carlo Integration 02/10/05

CS667 Lecture 6: Monte Carlo Integration 02/10/05 CS667 Lecture 6: Monte Crlo Integrtion 02/10/05 Venkt Krishnrj Lecturer: Steve Mrschner 1 Ide The min ide of Monte Crlo Integrtion is tht we cn estimte the vlue of n integrl by looking t lrge number of

More information

Definite integral. Mathematics FRDIS MENDELU

Definite integral. Mathematics FRDIS MENDELU Definite integrl Mthemtics FRDIS MENDELU Simon Fišnrová Brno 1 Motivtion - re under curve Suppose, for simplicity, tht y = f(x) is nonnegtive nd continuous function defined on [, b]. Wht is the re of the

More information

Chapter 5 : Continuous Random Variables

Chapter 5 : Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

Numerical quadrature based on interpolating functions: A MATLAB implementation

Numerical quadrature based on interpolating functions: A MATLAB implementation SEMINAR REPORT Numericl qudrture bsed on interpolting functions: A MATLAB implementtion by Venkt Ayylsomyjul A seminr report submitted in prtil fulfillment for the degree of Mster of Science (M.Sc) in

More information

3.4 Numerical integration

3.4 Numerical integration 3.4. Numericl integrtion 63 3.4 Numericl integrtion In mny economic pplictions it is necessry to compute the definite integrl of relvlued function f with respect to "weight" function w over n intervl [,

More information

III. Lecture on Numerical Integration. File faclib/dattab/lecture-notes/numerical-inter03.tex /by EC, 3/14/2008 at 15:11, version 9

III. Lecture on Numerical Integration. File faclib/dattab/lecture-notes/numerical-inter03.tex /by EC, 3/14/2008 at 15:11, version 9 III Lecture on Numericl Integrtion File fclib/dttb/lecture-notes/numerical-inter03.tex /by EC, 3/14/008 t 15:11, version 9 1 Sttement of the Numericl Integrtion Problem In this lecture we consider the

More information

Indefinite Integral. Chapter Integration - reverse of differentiation

Indefinite Integral. Chapter Integration - reverse of differentiation Chpter Indefinite Integrl Most of the mthemticl opertions hve inverse opertions. The inverse opertion of differentition is clled integrtion. For exmple, describing process t the given moment knowing the

More information

APPLICATIONS OF THE DEFINITE INTEGRAL

APPLICATIONS OF THE DEFINITE INTEGRAL APPLICATIONS OF THE DEFINITE INTEGRAL. Volume: Slicing, disks nd wshers.. Volumes by Slicing. Suppose solid object hs boundries extending from x =, to x = b, nd tht its cross-section in plne pssing through

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1 The Fundmentl Theorem of Clculus As we continue to study the re problem, let s think bck to wht we know bout computing res of regions enclosed by curves. If we wnt to find the re of the region below the

More information

7.2 The Definite Integral

7.2 The Definite Integral 7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve.

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve. Clculus Li Vs The Fundmentl Theorem of Clculus. The Totl Chnge Theorem nd the Are Under Curve. Recll the following fct from Clculus course. If continuous function f(x) represents the rte of chnge of F

More information

Consequently, the temperature must be the same at each point in the cross section at x. Let:

Consequently, the temperature must be the same at each point in the cross section at x. Let: HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

Effects of peripheral drilling moment on delamination using special drill bits

Effects of peripheral drilling moment on delamination using special drill bits journl of mterils processing technology 01 (008 471 476 journl homepge: www.elsevier.com/locte/jmtprotec Effects of peripherl illing moment on delmintion using specil ill bits C.C. Tso,, H. Hocheng b Deprtment

More information

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30 Definite integrl Mthemtics FRDIS MENDELU Simon Fišnrová (Mendel University) Definite integrl MENDELU / Motivtion - re under curve Suppose, for simplicity, tht y = f(x) is nonnegtive nd continuous function

More information

Section 6.1 INTRO to LAPLACE TRANSFORMS

Section 6.1 INTRO to LAPLACE TRANSFORMS Section 6. INTRO to LAPLACE TRANSFORMS Key terms: Improper Integrl; diverge, converge A A f(t)dt lim f(t)dt Piecewise Continuous Function; jump discontinuity Function of Exponentil Order Lplce Trnsform

More information

Lecture 19: Continuous Least Squares Approximation

Lecture 19: Continuous Least Squares Approximation Lecture 19: Continuous Lest Squres Approximtion 33 Continuous lest squres pproximtion We begn 31 with the problem of pproximting some f C[, b] with polynomil p P n t the discrete points x, x 1,, x m for

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Chapter 6 Notes, Larson/Hostetler 3e

Chapter 6 Notes, Larson/Hostetler 3e Contents 6. Antiderivtives nd the Rules of Integrtion.......................... 6. Are nd the Definite Integrl.................................. 6.. Are............................................ 6. Reimnn

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

Ordinary differential equations

Ordinary differential equations Ordinry differentil equtions Introduction to Synthetic Biology E Nvrro A Montgud P Fernndez de Cordob JF Urchueguí Overview Introduction-Modelling Bsic concepts to understnd n ODE. Description nd properties

More information

Abstract inner product spaces

Abstract inner product spaces WEEK 4 Abstrct inner product spces Definition An inner product spce is vector spce V over the rel field R equipped with rule for multiplying vectors, such tht the product of two vectors is sclr, nd the

More information

potentials A z, F z TE z Modes We use the e j z z =0 we can simply say that the x dependence of E y (1)

potentials A z, F z TE z Modes We use the e j z z =0 we can simply say that the x dependence of E y (1) 3e. Introduction Lecture 3e Rectngulr wveguide So fr in rectngulr coordintes we hve delt with plne wves propgting in simple nd inhomogeneous medi. The power density of plne wve extends over ll spce. Therefore

More information

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

INTRODUCTION. The three general approaches to the solution of kinetics problems are: INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

ES 247 Fracture Mechanics Zhigang Suo

ES 247 Fracture Mechanics  Zhigang Suo Crck Bridging Lecture Lecture 1 (http://imechnicorg/node/7948) introduced the crck bridging model The model is lso known s the cohesive-zone model, the Brenbltt model, or the Dugdle model The model consists

More information

An approximation to the arithmetic-geometric mean. G.J.O. Jameson, Math. Gazette 98 (2014), 85 95

An approximation to the arithmetic-geometric mean. G.J.O. Jameson, Math. Gazette 98 (2014), 85 95 An pproximtion to the rithmetic-geometric men G.J.O. Jmeson, Mth. Gzette 98 (4), 85 95 Given positive numbers > b, consider the itertion given by =, b = b nd n+ = ( n + b n ), b n+ = ( n b n ) /. At ech

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

Electron Correlation Methods

Electron Correlation Methods Electron Correltion Methods HF method: electron-electron interction is replced by n verge interction E HF c E 0 E HF E 0 exct ground stte energy E HF HF energy for given bsis set HF Ec 0 - represents mesure

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

Chapter 3 Solving Nonlinear Equations

Chapter 3 Solving Nonlinear Equations Chpter 3 Solving Nonliner Equtions 3.1 Introduction The nonliner function of unknown vrible x is in the form of where n could be non-integer. Root is the numericl vlue of x tht stisfies f ( x) 0. Grphiclly,

More information

Discrete Least-squares Approximations

Discrete Least-squares Approximations Discrete Lest-squres Approximtions Given set of dt points (x, y ), (x, y ),, (x m, y m ), norml nd useful prctice in mny pplictions in sttistics, engineering nd other pplied sciences is to construct curve

More information

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 8 The Force Method of Anlysis: Bems Version CE IIT, Khrgpur Instructionl Objectives After reding

More information