ENGINEERING MECHANICS

Size: px
Start display at page:

Download "ENGINEERING MECHANICS"

Transcription

1 Egieerig Mechaics CHAPTER ENGINEERING MECHANICS. INTRODUCTION Egieerig mechaics is he sciece ha cosiders he moio of bodies uder he acio of forces ad he effecs of forces o ha moio. Mechaics icludes saics ad damics. Saics deals wih he special case of a bod a res or a bod ha moves wih cosa veloci. A bod a res or movig wih cosa veloci is said o be i equilibrium. This is someimes also called as saic equilibrium. Whe he bod moves wih fiie veloci or acceleraio, he priciples of saics are o loger applicable. The mechaics of such a ssem is called damics. Whe he bod has o roaioal moio, i is called as paricle. Usuall, each poi o a rigid-bod is alwas a a cosa disace from a oher poi i he bod. Damics is furher divided io kiemaics ad kieics. Kiemaics defies he relaioships amog displaceme, veloci, ad acceleraio of a movig bod. Kieics defies he relaioship bewee he forces ha ac o a bod ad he moio of he bod. Aalsis of he bodies ca eiher be coduced i plae or i hree-dimesios. A rigid-bod i space has si degree of freedom. This chaper provides a brief review of various opics i Mechaics.. NEWTONIAN MECHANICS Collecivel, he sud of saics ad damics is called classical mechaics. Classical mechaics reas he moio of bodies of ordiar size ha move a speeds ha are small compared o he speed of ligh. Newo (64-77) formulaed he law of uiversal graviaio ad he mahemaics of calculus. Newo iroduced he coceps of force ad mass. Newo formulaed he hree laws of moio ha are he basis of egieerig applicaios of mechaics. The classical mechaics is ofe called Newoia mechaics..3 NEWTON S LAWS OF MOTION Newo s laws are fudameall applicable direcl o a paricle ha is a bod which ma be reaed as havig poi mass. Newo s laws ma be saed i erms of a paricle parameers as follows:

2 Solvig Egieerig Mechaics Problems wih MATLAB Firs Law: I he absece of applied forces, a paricle origiall a res or movig wih cosa speed i a sraigh lie will remai a res or coiue o move wih cosa speed i a sraigh lie. Secod Law: If a paricle is subjeced o a force, he paricle will accelerae. The acceleraio of he paricle will be i he direcio of he force, ad he magiude of he acceleraio will be proporioal o he force ad iversel proporioal o he mass of he paricle. Newo s secod law ca be epressed i he form: a = F...(.) m where F = force m = mass a = acceleraio Newo s secod law is he basis for he sud of kieics of a paricle. Third Law: For ever acio, here is a equal ad opposie reacio, or he muual forces eered b wo paricles o each oher are alwas equal ad opposiel direced..4 RESULTANTS OF COPLANAR FORCE SYSTEMS I saics, i is ofe ecessar o fid he sae of equilibrium or he resula of several forces acig i plae. I coplaar ssem, he resula R for a cocurre forces is give b ad ( ) ( ) R = Σ F + ΣF a ΣF θ = ΣF...(.) where ΣF, ΣF = algebraic sums of he ad compoes of he forces of he ssem respecivel. θ = he agle ha he resula R makes wih he -ais. For a parallel ssem, he resula R is give b R=ΣF ad Ra =ΣM O where ΣF = algebraic sum of he forces of he ssem O = a mome ceer i he plae a = perpedicular disace from he mome ceer O o he resula R Ra = mome of R wih respec o O ΣM O = algebraic sum of he momes of he forces of he ssem wih respec o O...(.3)

3 Egieerig Mechaics 3 The resula R for a o-cocurre ad o-parallel ssem is give b ( ) ( ) R = Σ F + ΣF Σ ad θ = a F ΣF...(.4) where ΣF, ΣF = algebraic sums of he ad compoes of he forces of he ssem respecivel θ = he agle ha he resula R makes wih he -ais. The acio of he lie of he resula force is give b Ra = ΣM o...(.5) where O = a mome ceer i he plae a = perpedicular disace from he mome ceer O o he resula R Ra = mome of R wih respec o O ΣM O = algebraic sum of he momes of he forces of he ssem wih respec o O.5 RESULTANTS OF NON-COPLANAR FORCE SYSTEMS I o-coplaar force ssem, he forces are o i oe plae. The resula R for a cocurre ssem is give b wih he direcio cosies ( ) ( ) ( ) z R = Σ F + Σ F + ΣF...(.6) ΣF ΣF ΣF cos θ =, cosθ = ad cos θ z = R R R where ΣF, ΣF, ΣF z = algebraic sums of he, ad z compoes of he forces of he ssem respecivel. For a parallel ssem, he resula R is give b R = ΣF R = ΣM z...(.7) Rz = ΣM where ΣF = algebraic sum of he forces of he ssem = perpedicular disace from he z plae o he resula z = perpedicular disace from he plae o he resula ΣM, ΣM z = algebraic sum of he momes of he forces of he ssem abou he ad z aes respecivel z

4 4 Solvig Egieerig Mechaics Problems wih MATLAB If ΣF = 0, he resula couple C whe eiss is give b C = ( Σ M ) + ( ΣM ) z ad φ = a Σ M z Σ M...(.8) where φ is he agle ha he vecor represeig he resula couple makes wih he -ais. The magiude of he resula R of he o-cocurre ssem a he origi (, ad z aes is placed wih heir origi a he base poi) is give b R = z ( Σ F ) + ( Σ F ) + ( ΣF )...(.9) wih he direcio cosies ΣF ΣF ΣFz cosθ =,cosθ = ad cosθ z =...(.0) R R R The magiude of he resulig couple C is give b C = z ( Σ M ) + ( Σ M ) + ( ΣM )...(.) wih he direcio cosies ΣM ΣM ΣM z cos φ =,cosφ = ad cosφ z =...(.) C C C where ΣM, ΣM, ΣM z = algebraic sums of he momes of he forces of he ssem abou, ad z-aes respecivel. φ, φ, φ z = agles which he vecor represeig he couple C makes wih he, ad z-aes respecivel..6 EQUILIBRIUM OF COPLANAR FORCE SYSTEMS The ecessar ad sufficie codiios for he equilibrium of a coplaar force ssem are: R = ΣF = 0 ad C = ΣM = 0...(.3) where ΣF = vecor sum of all forces of he ssem ΣM = vecor sum of he momes of all he forces of he ssem. For cocurre ssem, a of he followig ses of equaios esures equilibrium (he resula is zero). The cocurrec is assumed a he origi. Se : ΣF = 0 ΣF = 0

5 Egieerig Mechaics 5 Se : ΣF = 0 ΣM A = 0...(.4) (A ma be chose a place i he plae ecep o he -ais) Se 3: ΣM A = 0 ΣM B = 0 (A ad B ma be chose a place i he plae ecep A, B ad he origi do o lie o he same sraigh lie) where ΣF, ΣF = algebraic sum of he ad compoes of he forces of he ssem respecivel. ΣM A, ΣM B = algebraic sum of he momes of he forces of he ssem abou A ad B respecivel. For parallel ssem, a of he followig ses of equaios esures equilibrium (he resula is eiher a force or a couple). Se : ΣF =0 ΣM A =0...(.5) Se : ΣM A =0 ΣM B =0 (A ad B ma chose a place i he plae provided i he lie joiig A ad B is o parallel o he forces of he ssem) where ΣF = algebraic sum of he forces of he ssem parallel o he acio lies of he forces ΣM A, ΣM B = algebraic sum of he momes of he forces of he ssem abou A ad B respecivel. For o-cocurre ad o-parallel ssem, a of he followig ses of equaios esures equilibrium (he resula is eiher a force or a couple). Se : ΣF =0 ΣF =0 ΣM A =0...(.6) Se : ΣF =0 ΣM A =0 ΣM B =0...(.7) (Provided ha he lie joiig A ad B is o perpedicular o he -ais) Se 3: ΣM A =0 ΣM B =0 ΣM C =0...(.8) (Provided ha A, B ad C do o lie o he same sraigh lie) where ΣF, ΣF, ΣF z = algebraic sum of he, ad z compoes of he forces respecivel ΣM A, ΣM B, ΣM C = algebraic sum of he momes of he forces of he ssem abou a hree pois A, B ad C i he plae respecivel.

6 6 Solvig Egieerig Mechaics Problems wih MATLAB.7 EQUILIBRIUM OF NON-COPLANAR FORCE SYSTEM The ecessar ad sufficie codiios ha R ad C be zero vecors are give b R = ΣF = 0 ad C = ΣM = 0...(.9) where ΣF = vecor sum of all he forces of he ssem ΣM = vecor sum of he momes of all he forces of he ssem relaive o a poi. For a cocurre ad o-coplaar ssem, he followig se of equaios mus be saisfied: ΣF = 0 ΣF = 0...(.0) ΣF z = 0 where ΣF, ΣF, ΣF z = algebraic sums of he, ad z compoes of he forces of he ssem respecivel. For a parallel o-coplaar ssem, he se of equaios o be saisfied for equilibrium are: ΣF =0 ΣM = 0...(.) ΣM z =0 where ΣF = algebraic sum of he forces of he ssem alog he -ais which is seleced parallel o he ssem. ΣM, ΣM z = algebraic sums of he momes of he forces of he ssem abou he ad z aes respecivel. The ecessar ad sufficie codiios required for equilibrium for a o-cocurre o-coplaar ssem are give b ΣF =0 ΣF =0 ΣF z =0 ΣM =0 ΣM =0 ΣM z = 0...(.) where ΣF, ΣF, ΣF z = algebraic sums of he, ad z compoes of he forces of he ssem respecivel. ΣM, ΣM, ΣM z = algebraic sums of he compoes of he forces of he ssem abou he, ad z aes respecivel..8 TRUSSES A russ is a ssem of sleder members ha are pied ogeher. The members are free o roae a he pied jois ad carr forces ol. All he eeral forces ac a he jois. Trusses are eamples of coplaar force ssems i equilibrium. Trusses are assumed o be rigid members all locaed i oe plae. The weighs of he russ members are egleced. Forces are rasmied

7 Egieerig Mechaics 7 from oe member o aoher hrough pi jois. These members are called wo-force members. A woforce member is i equilibrium uder he effec of wo resula forces oe a each ed. The wo-force members will be eiher i esio or compressio. There are wo mehods available for he aalsis of russes. For a sable plaar russ, he followig codiio applies: = m + p...(.3) where = umber of jois m = umber of members p = umber of ukow eeral forces I a sable hree-dimesioal russ, he codiio ha holds is 3 = m + p...(.4) Mehod of Jois I his mehod, a free-bod diagram of a pi i he russ is draw. Maimum of wo ukow forces ac o ha pi. Proceed from oe pi o aoher uil all ukows have bee obaied. Mehod of Secios A free-bod diagram of a secio of he russ is draw. The forces i he members cu ac as eeral forces. The ssem is a o-cocurre ad o-parallel oe. I a oe secio o more ha hree ukow forces are o be foud..9 ANALYSIS OF BEAMS A beam is a log member ha is subjeced o eeral laeral forces, F ad eeral laeral momes, T. These cause ieral laeral forces V called shear forces ad ieral laeral momes M kow as bedig momes. The shear forces ad he bedig momes iduce laeral deformaios, also called bedig. Shear ad Mome Diagrams Shear ad mome diagrams show he variaio of V ad M across a beam. Summaio of he forces ad momes of forces are used o plo V ad M direcl for he beams. The slope of he shear diagram a a secio alog he beam is he egaive of he load per ui legh a ha poi. The chage i shear bewee wo secios of a beam carrig a disribued load equals he egaive area of he load diagram bewee he wo secios. The slope of he mome diagram a a secio alog he beam is he value of he shear a ha secio. The chage i he mome bewee wo secios of a beam equals he area of he shear diagram bewee he wo secios..0 FRICTION The ageial force ha opposes he slidig of oe bod relaive o he oher is he saic fricio bewee he wo bodies. Kieic fricio is he ageial force bewee wo bodies afer moio begis. The bod begis o slide ol whe he applied force eceeds he saic fricioal force a he floor. Referrig o Fig.., he followig erms are defied: Limiig fricio F is he maimum value of saic fricio ha occurs whe moio is impedig. Coefficie of saic fricio is he raio of he limiig fricio F o he ormal force N, or µ= F' N

8 8 Solvig Egieerig Mechaics Problems wih MATLAB Coefficie of kieic fricio is he raio of he kieic fricio o he ormal force. Agle of repose, α is he agle o which a iclied plae ma be raised before a objec resig o i will move uder he acio of he force of gravi ad he reacio of he plae. I Fig.., R is he resula of F ad N ad α = φ. W F R φ N Fig.. Slidig fricio Bel Fricio: Whe a bel passes over a pulle, he esios i he bel o he wo sides of he pulle will differ. Whe slip is abou o occur, he esios T ad T are give b T = T e µβ...(.5) where T = larger esio T = smaller esio µ = coefficie of fricio β = agle of wrap (radia) e =.78 (base of aural logarihms) Screw fricioal force occurs whe a u is screwed over a bol.. FIRST MOMENTS AND CENTROIDS The ceroidal posiio vecor r of a geomer composed of areas d, d, d 3,..., d locaed a pois P, P, P 3,, P represeed b posiio vecors r, r, r 3,, r respecivel is defied as where r = i i i= i= r d d i d i = area of ih eleme r i = posiio vecor of he ih eleme d i = oal area of all elemes i= r d = firs mome of area of all he elemes relaive o seleced poi O. i i i=

9 Egieerig Mechaics 9 The ceroid ca be wrie i erms of, ad z coordiaes as = = i i i= i= i= d d i i i= i d d i z = i i i= i= zd d where d i = magiude of area of he ih eleme i z,, = coordiaes of ceroid of he assemblage i, i, z i = coordiaes of P i a which d i is coceraed. The ceroid of a coiuous quai of mass m is give b rdm r = dm or dm = = dm Q z m dm = = dm zdm z = = dm Q z m Q m where Q, Q z, Q z = firs momes wih respec o, z ad z plaes respecivel.. VIRTUAL WORK A virual displaceme δs of a paricle is defied as a ifiiesimal chage i he posiio of he paricle cosise wih he cosrais imposed o he paricle. Virual work δu doe b a force, F is defied as F δs, where F is he magiude of he compoe of he force alog he virual displaceme δs. Similarl, virual work δu doe b a couple of mome M is defied as Mδθ, where δθ is he virual agular displaceme.

10 0 Solvig Egieerig Mechaics Problems wih MATLAB Equilibrium: The ecessar ad sufficie codiio for he equilibrium of a paricle is zero virual work doe b all he forces acig o he paricle durig a virual displaceme δs. The ecessar ad sufficie codiio for he equilibrium of a rigid-bod is zero virual work doe b all he eeral forces acig o he bod durig a virual displaceme cosise wih he cosrais imposed o he bod. The equilibrium of a ssem of rigid bodies eiss if he poeial eerg V has a saioar value. Sable equilibrium occurs if he poeial eerg V is a miimum. Usable equilibrium occurs if he poeial eerg V is a maimum. Neural equilibrium eiss if a ssem remais i a posiio i which i is placed. If is he variable ad V he poeial eerg of he ssem, he we have dv > 0 d dv d dv = d < 0 0 (sable equilibrium) (usable equilibrium) (eural equilibrium).3 KINEMATICS OF A PARTICLE Kiemaics is he sud of moio wihou cosiderig he forces or oher facors ha ifluece he moio. Reciliear moio: The geeral epressio for displaceme(s), veloci(v) ad acceleraio(a) are derived from he followig hree differeial relaios: a= dv/d v= ds/d ads = vdv For moio of a poi alog a sraigh lie, he followig formulas are valid for cosa acceleraio a = k: v = v 0 + k v = v 0 + ks s = v 0 + s = ( v+ v ) 0 where v 0 = iiial veloci v = fial veloci k = cosa acceleraio = ime s = displaceme. k...(.5a)

11 Egieerig Mechaics Curviliear moio: I a plae, curviliear moio is moio alog a plae curve (pah). The veloci ad acceleraio of a poi o such a curve ca be epressed eiher as: (a) (b) (c) recagular compoes ageial ad ormal compoes radial ad rasverse compoes (a) Recagular compoes The posiio vecor r(), he veloci vecor v(), ad he acceleraio vecor a() are give b r() = i () + () j+ zk () v() = v () i+ v () j+ v () k = () i+ () j+ z () k z a() = a () i+ a () j+ a () k = () i+ () j+ z() k...(.6) z where he over-do represes ime differeiaio. The recagular compoes of veloci ad acceleraio are give b v () = (), v() = (), v() = z () z a () = (), a () = (), a () = z()...(.7) The compoes of posiio are give b () = () = z() = ( ) + v ( s) ds ( ) + v ( s) ds z z ( ) + v( sds )...(.8) The compoes of veloci are give b Also v () = v () = v( ) + a( s) ds v( ) + a( s) ds z v z () = vz( ) + az( s) ds...(.9) v () = v( ) + a( ) d...(.30)

12 Solvig Egieerig Mechaics Problems wih MATLAB (b) Tageial ad ormal compoes Referrig o Fig.., he veloci vecor v ca be wrie as v = v where v = magiude of he veloci vecor = ageial ui vecor direced alog he veloci vecor....(.3) Also ad =θ = θ...(.3) () () v () Fig.. Veloci vecors where = he ormal ui vecor defied o be perpedicular o he ageial ui vecor. I Fig..3, he radius of curvaure ρ of he pah a ime is show which is obaied b he iersecio of he lies eedig from () ad ( + ) where is ime icreme. The agle θ chages a icremeal amou θ ad he poi moves a icremeal amou s. θ ρ ( + ) ( + ) () θ θ( + ) () θ() () Fig..3 Radius of curvaure of pah Now ρ θ = s or ρθ = v...(.33) where θ = d d θ v = ds d

13 Egieerig Mechaics 3 Differeiaig Eq. (.3) wih respec o ime gives a = a + a...(.34) where a =v v a = ρ...(.35) (c) Radial ad rasverse compoes The polar form of a posiio vecor is r = r r...(.36) where r = r is he magiude of r r = ui vecor i he direcio of r r = he radial ui vecor θ = he circumfereial ui vecor The circumfereial ui vecor is perpedicular o r. Hece, r ad θ are relaed o i ad j i Fig..4 as r () = cos θ()i + si θ()j θ () = si θ()i + cos θ()j...(.37) θ r r θ Fig..4 Radial ad rasverse compoes Differeiaig Eq. (.37) wih respec o ime gives r = θ si θ i+θ cos θ j =θ ( si θ i+ cos θ j) =θ θ...(.38) ad θ = θ r...(.39) Hece, he derivaives of he ui vecors are give b =θ r θ θ = θ r...(.40) Similarl, from Eqs. (.36) ad (.40), we ge v = v r r + v θ θ...(.4) where v r =r v θ =rθ

14 4 Solvig Egieerig Mechaics Problems wih MATLAB Differeiaig Eq. (.4) wih respec o ime gives a = arr + a θ θ...(.4) where a r = r rθ a θ = rθ+ r θ...(.43).4 D ALEMBERT S PRINCIPLE Kieics of paricles begis wih Newo s secod law, which relaes forces, acceleraios ad ime. The secod form of wriig Newo s law is called D Alember s priciple which gives he codiio for damic equilibrium. I saes ha ΣF ma = 0...(.44) where ΣF = vecor sum of all he forces acig o he paricle m = mass of he paricle a = acceleraio of he paricle. Hece, a imagiar force (also kow as ieria force) which is colliear wih ΣF bu opposie i sese ad of magiude ma would cause i o be i equilibrium if applied o he paricle. All he equaios of equilibrium are he applicable. Kieics of paricles ca also be aemped wih workeerg priciple ad impulse-momeum priciple, jus as a rigid-bod. Whe velociies ad displacemes are give isead of acceleraio as i sprig problems, he problem should be aemped wih workeerg priciple. O he oher had whe veloci ad ime are give as i recoil or impac problems, he equaios of moio are formulaed from impulse-momeum relaios..5 KINEMATICS OF A RIGID BODY IN PLANE MOTION A rigid-bod is cofigured b specified dimesios ad roaioal moio should be cosidered i addiio o raslaio. I plae moio of a rigid bod, ever poi i he bod remais a a cosa disace from a fied plae. As show i Fig..5, B is a arbirar poi i he bod ad --z is a oroaig referece frame. Y A B ρ φ z r B r A X Z Fig..5 Represeaio of plae moio of rigid-bod

15 Egieerig Mechaics 5 The posiio vecor r A of a poi A (fied or movig) i he lamia is give b r A = r B + ρ...(.45) where r B = posiio vecor of B ρ = vecor BA Differeiaig Eq. (.45) gives v A = r = r + ρ = r +ρωe...(.46) A B B φ where r B = liear veloci of B relaive o he fied aes X, Y ad Z ω = agular veloci (magiude) of ρ abou a lie parallel o Z-ais e φ = ui vecor perpedicular o ρ (i he direcio of icreasig φ) The acceleraio a A is give b..... a A = v = r = r ρω e + ραe...(.47) A A B ρ φ where r B = acceleraio of B relaive o fied aes X, Y ad Z e ρ = ui vecor alog ρ direced from B oward A e φ = ui vecor perpedicular o ρ (i he direcio of icreasig φ) α = agular acceleraio (magiude) of ρ abou a lie parallel o he Z-ais. Equaios (.46) ad (.47) ca also be wrie i vecor form as follows: v A = v B + ω ρ or v A = v B + v A/B...(.48) ad a A = a B + ω (ω ρ) + α ρ a A = a B + a A/B...(.49) Here is a vecor (cross) produc. also ω = φk = ωk α = φ k = ω k = αk...(.50) ραe ρ = ω ρ ραe φ = α ρ ρω e ρ = ω (ω ρ) i which v A/B = relaive veloci of A as i roaes aroud B. a A/B = relaive acceleraio of A as i roaes aroud B. Thus i plae moio he erm ω (ω ρ) becomes ρω. Aoher mehod of compuig velociies ad acceleraios i rigid bodies is o draw he vecor diagrams. These are draw based o he cocep ha relaive veloci is alwas perpedicular o he lie joiig he wo pois ad he wo compoes of relaive acceleraio are perpedicular o each oher. Someimes a roaig frame of referece is used o represe he moio of a bod raslaig wih veloci v, ad acceleraio a, o aoher roaig bod as i case of a crak ad sloed lever likage. Here he acceleraio epressio becomes v A = v B + (ω ρ) + v ad a A = a B + ω (ω ρ) + α ρ+ ω v AB + a Here he erm ω v AB is called coriolis compoe of acceleraio.

16 6 Solvig Egieerig Mechaics Problems wih MATLAB.6 MOMENTS OF INERTIA The aial mome of ieria or he secod mome of ieria I, of a eleme of area abou a ais i is plae (Fig..6) is give b di = da di = da...(.5) The polar mome of ieria J, of a eleme abou a ais perpedicular o is plae is he produc of he area of he eleme ad square of is disace from he ais. Referrig o Fig..6, he polar mome of ieria is dj = ρ da = ( + )da = di + di...(.5) The produc of ieria of a eleme of area i Fig..6 is give b di = da...(.53) da ρ Fig..6 Defiiio of produc of ieria The aial mome of ieria of a area is he sum of he aial momes of ieria of is elemes I = I = da da...(.54) The radius of graio of a area wih respec o a ais is give b k = I/A...(.55) The polar mome of ieria of a area is he sum of he polar momes of ieria of is elemes J = ρ da...(.56) The produc of ieria of a area is he sum of he producs of ieria of is elemes I = da...(.57) The parallel-ais heorem saes ha he aial or polar mome of ieria of a area abou a ais equals he aial or polar mome of ieria of he area abou a parallel ais hrough he ceroid of he area plus

17 Egieerig Mechaics 7 he produc of he area ad he square of he disace bewee he wo parallel aes. Referrig o Fig..7, we have I = I + Αm I = I + Α I z = J + Ar I = I + Am...(.58) where A =area I = produc of ieria of he area wih respec o ad aes I = produc of ieria abou wo parallel ceroid aes ad m, = coordiaes of G relaive o he (, ) aes hrough O or he coordiaes of O relaive o he (, ) aes hrough G., = a aes hrough O, = coplaar parallel aes hrough he ceroid G. r G m O Fig..7 Parallel-ais heorem The aial or polar mome of ieria or produc of ieria of a composie area is he sum of he aial or polar momes of ieria, or producs of ieria, of he compoe areas of he whole area. Mass mome of ieria of a rigid-bod is defied as: I = r dm, where r is perpedicular disace from he z-ais o he arbirar eleme dm. Thus he value of I differs for each ais abou which i is compued. Usuall i plaar kieics, he ais which is geerall chose for aalsis passes hrough bod s mass ceer G ad is alwas perpedicular o he plae of moio. I s uis are kgm. Someimes I is give as radius of graio abou ceer G. The radius of graio k of a bod wih respec o a ais is give b k = Im /...(.59) Cosider Fig..8, he aial mome of ieria of a mass dm is give b ( ) ( ) ( ) I = I = + z dm ad I = I = dm I = I = + z dm ad I = I = z dm z z I = I = + dm ad I = I = z dm...(.60) zz z z z where dm = mass of eleme I, I, I z = aial momes of ieria wih respec o he, ad z aes respecivel.

18 8 Solvig Egieerig Mechaics Problems wih MATLAB + z dm + + z z Fig..8 Polar mome of ieria of composie area I hree dimesios, a bod has si compoes of ieria for a specified,, z aes. Three of hese are momes of ieria abou each of he aes I, I, I z ad hree are producs of ieria each defied from wo orhogoal plaes I, I z, I z. If eiher oe or boh of he plaes are plaes of smmer, he he produc of ieria wih respec o hese plaes will be zero. Such aes are pricipal aes of ieria. The produc of ieria of a mass is give b I = dm The parallel ais heorem saes ha he mome of ieria of a bod abou a ais is equal o he mome of ieria I abou a parallel ais hrough he ceer of gravi of he bod plus he produc of he mass of he bod ad he square of he disace bewee he wo parallel aes. For eample, mome of ieria of sleder rod abou oe ed ca be compued i erms of mome of ieria abou mass l ceer G accordig o he followig relaio: I C = IG + m. A summar of momes of ieria of some geomerical shapes are give i Appedi-I. z.7 DYNAMICS OF A RIGID BODY IN PLANE MOTION Whe he moio is specified i erms of acceleraio ad forces, Newo s secod law or D Alember s priciple ca be direcl used. For a rigid-bod i plae moio, here are hree equaios describig damic equilibrium: Two force relaios for raslaio alog ad direcio ad oe mome equaio abou a poi usuall he ceer of mass G. I vecor form he equaios of plae moio are give b ΣF = m a...(.6) ( ) Σ M = I α k+ mr a = I α+ ma ma k...(.6) O O G / O O O O O where ΣF = resula of he eeral forces acig o he bod ΣM O = resula of he eeral momes acig o he bod

19 Egieerig Mechaics 9 m = mass of he bod a = acceleraio of he mass ceer of he bod a o = acceleraio of referece poi O α = agular acceleraio of he bod I o = mome of ieria of he bod relaive o he referece poi O, = coordiaes of he mass ceer relaive o he referece poi O r G/o = posiio vecor of he mass ceer relaive o he referece poi O a o, a o = magiude of he compoes of he acceleraio of he referece poi O alog he ad aes. The scalar equaios of he plae moio are give b ΣF = ma ΣF = ma Σ M = I α...(.6a) where ΣF, ΣF = algebraic sums of he magiudes of he compoes of he eeral forces alog he ad aes respecivel. m = mass of he bod a, a = compoes of he liear acceleraio of he mass ceer i ad direcios respecivel. ΣM = algebraic sum of he momes of he eeral forces abou he mass ceer. I = mome of ieria of he bod abou he mass ceer. α = magiude of he agular acceleraio of he bod. The scalar equaios for raslaio of a rigid bod are give b ΣF = ma ΣF = ma...(.63) ad ΣM =0 where ΣF, ΣF = algebraic sums of he compoes of he eeral forces i he ad direcios respecivel. m = mass of he bod a, a = acceleraio compoes i he ad direcios respecivel. ΣM = sum of he momes of he eeral forces abou he mass ceer of he bod. The scalar equaios of moio of a rigid bod uder he acio of a ubalaced force ssem for a bod wih a plae of smmer ad roaes abou a fied ais perpedicular o he plae are give b ΣF = mrω ΣF = mr α...(.64) ΣM = α o I o where ΣF = algebraic sum of he compoes of all eeral forces (which are he applied forces F, F, F 3, ec., he graviaioal force o he bod, ad he reacio R of he ais o he bod)

20 0 Solvig Egieerig Mechaics Problems wih MATLAB alog he ais, which is he lie draw bewee he ceer of roaio O ad he mass ceer G; oe ha he posiive sese is from G oward O because a = r ω has ha sese ΣF = algebraic sum of he compoes of he eeral forces alog he ais, which is perpedicular o he ais a O; oe ha he posiive sese alog his ais agrees wih ha of a = rα ΣM o = algebraic sum of he momes of he eeral forces abou he ais of roaio hrough O; oe ha posiive sese agrees wih he assumed sese of he agular acceleraio α m = mass of he bod G = ceer of mass of he bod r = disace from he ceer of roaio O o he mass ceer G I o = mome of ieria of he bod abou he ais of roaio ω = agular speed of he bod α = magiude of he agular acceleraio of he bod This pe of roaio is called o-ceroidal roaio. Eample: a lever oscillaig abou a poi of suspesio. Whe G ad O coicide (roaio abou a fied ais hrough G) ad F = 0, he equaios of moio are give b ΣF = 0, ΣF = 0, Σ M = I α...(.65) where ΣF = algebraic sum of he compoes of he eeral forces alog a ais chose as he -ais. ΣF = algebraic sum of he compoes of he eeral forces alog he -ais ΣM = algebraic sum of he momes of he eeral forces abou he ais of roaio hrough he mass ceer G (ais of smmer) I = mome of ieria of he bod abou he ais of roaio hrough he mass ceer G α = magiude of he agular acceleraio of he bod This pe of roaio is called ceroidal roaio..8 WORK AND ENERGY The work doe o move paricle or a bod from poi o poi b he resula force F acig o he paricle is give b U = F. dr...(.66) The kieic eerg T of a paricle wih mass m ad movig wih speed v is defied as mv. I coeced rigid bodies he oal kieic eerg of all he bodies a a cofiguraio is compued.

21 Egieerig Mechaics The work doe o a paricle b he resula force as i moves from poi o poi is equal o he chage i kieic eerg. U = T T...(.67) where T,T = iiial ad fial kieic eerg respecivel a pois ad. The kieic eerg T of a rigid-bod i raslaio is T = mv The kieic eerg T of a rigid-bod i roaio is T = I o ω where I O = mass mome of ieria of he bod abou he ais of roaio ω = agular speed The kieic eerg T of a bod i plae moio is give b...(.68) T = ω I where ω = agular speed...(.69) I = mome of ieria abou a ais hrough he mass ceer parallel o he z-ais. The chage i poeial eerg ma be defied as he egaive of he work doe b he coservaive force acig o he bod i brigig i from he daum o a fial posiio. The selecio of he daum is arbirar. The priciple of work ad eerg saes ha he work doe b he eeral forces acig o a rigid bod durig a displaceme is equal o he chage i kieic eerg of he bod durig he same displaceme. The sum of he work doe b he o-coservaive eeral forces such as fricio ad he work doe b he ieral forces acig o a ssem of paricles is equal o he chage i he oal (kieic ad poeial) eerg of he ssem of he paricles over he ime ierval of he acio. or E = T + V...(.70) where E = oal eerg (kieic ad poeial) of coservaive ssem T = kieic eerg V = poeial eerg The law of coservaio of eerg saes ha if a paricle (or bod) is aced upo b a coservaio force ssem, he sum of he kieic eerg ad poeial eerg is a cosa. Thus for o-coservaive ssem, priciple of work ad eerg is used ad for coservaive ssem, priciple of coservaio of eerg ca be emploed..9 IMPULSE AND MOMENTUM I paricles, here is ol liear momeum sice i has o agular moio. The liear momeum of he ih paricle is defied as L i = m i v i...(.7) where m i = mass of he ih paricle v i = ih paricle s veloci.

22 Solvig Egieerig Mechaics Problems wih MATLAB The liear momeum of he ssem of paricles is he sum of he liear momeum of he paricles. or L = L i...(.7) i= The liear impulse acig o he ssem impared over a ime ierval is give b G = F d...(.73) The he priciple of impulse ad momeum ca be wrie as: G = L L...(.74) where L p = liear momeum of he ssem a a sae p. Equaio (.74) saes ha he liear impulse acig o he ssem is equal o he chage i he ssem s liear momeum over he ime ierval. For a rigid bod, here is agular momeum ad agular impulse i addiio o liear couerpars. Agular impulse is creaed b a mome of a force while he agular momeum is due o ieria of he bod ad agular veloci of roaio. Agular momeum someimes called as he mome of he liear momeum is defied as: H o = r L...(.75) where H O is he agular momeum abou he poi O. The agular momeum of a ssem of rigid bodies abou a poi A is give b H = H = r L = r mv...(.76) A Ai i/ A i i/ A i i i= i= i= where A is a poi. The resula eeral mome abou he poi A is give b M A = MAi = ri /A F i...(.77) i= i= Differeiaig Eq. (.76) wih respec o ime ields H A = v A L + M A...(.78) If he poi A is fied he v A = 0 ad if he poi A is he mass ceer C he v A L = v C mv C = 0. Thus, wheher he poi A represes a fied poi O or he mass ceer C: H A = M A...(.79) Equaio (.79) saes ha he ime derivaive of he agular momeum abou a fied poi O (or he mass ceer O) is equal o he resula eeral mome abou he fied poi O (or he mass ceer C). Iegraig Eq. (.79) ields N A = d d ( ) ( ) M = H = H H = H H A A A A A A...(.80) where N A = M d agular impulse impared over he ime ierval A Hece N A = H A H A...(.8)

23 Egieerig Mechaics 3 Equaio (.8) saes ha he agular impulse acig o he ssem abou he fied poi O (or he mass ceer G) is equal o he chage i he ssem s agular momeum abou he poi O (or he mass ceer G) over he ime ierval. This is illusraed i Fig..9, where iiial ad fial velociies are ieres are ake a mass ceer G. G I G ω M d G + = G I G ω m(v G ) m(v G ) F d mg( ) F d Fig..9 Priciple of Impulse-momeum of rigid bod Coservaio of liear momeum i a give direcio occurs if he sum of he eeral forces i ha direcio is zero. For eamples i case of wo balls (paricles) collidig head-o wih each oher eiher cerall or obliquel, he liear momeum is coserved alog he lie of collisio. Mahemaicall, i is wrie as L p = 0. Coservaio of agular momeum abou a ais occurs if he sum of he momes of he eeral forces abou ha ais is zero. Mahemaicall i is wrie as: H p = 0. This occurs i cases where he roaig or oscillaig bod suffers differe speeds whe he poi of suspesio chages. As a eample, a diver jumpig from a heigh io waer maiais he cosa agular momeum durig his moio..0 THREE-DIMENSIONAL MECHANICS I hree dimesioal moio, he agular veloci ad acceleraio vecor has compoes i more ha oe ais, ulike i plae moio where for eample ω = ω ˆk a sigle compoe parallel o z-ais. Similar o wo dimesioal moio he moio of wo pois A ad B o a bod, or a series of coeced bodies ca be relaed usig relaive moio aalsis wih roaig ad raslaig aes a B. If a bod udergoes geeral moio, he he moio of a poi A i he bod ca be relaed o he moio of aoher poi B usig a relaive moio aalsis alog wih raslaig aes a B: v A = v B + ω r AB a A = a B + α r AB + ω (ω r AB ) There are hree scalar equaios of raslaioal moio for a rigid-bod ha moves i hree dimesios. F = m(a G ) F = m(a G ) F z = m(a Gz ) The hree scalar equaios of roaioal moio deped upo he locaio of he,, z referece. M = I ω (I I z ) ωω z M = I ω (I z I ) ωω z M z = I z ω z (I I ) ωω

24 4 Solvig Egieerig Mechaics Problems wih MATLAB Mos ofe, hese aes are orieed so ha he are he pricipal aes of ieria. If he aes are fied i ad move wih he roaio ω of he bod, he he equaios are referred o as Euler equaios of moio. The agular moio of a groscope is bes described usig he chages i moio of he hree Euler agles. These agular veloci compoes are he precisio φ, uaio θ ad spi ψ. If ψ = 0 ad φ ad θ are cosa he he moio is referred o as sead precisio. The agular veloci of he bod is specified ol i erms of Euler agle θ as: ω = ω i + ω j + ω z k = θ i + φsi θ j + ( φ cos θ+ψ ) k The spi veloci is give b Ω = Ω i + Ω j + Ω z k = θ i + φ si θ j + φ cos θ k I is spi of a gro roor ha is resposible for holdig he roor from fallig dowward ad isead causig i o precess abou a verical ais. This pheomeo is called he groscopic effec.

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

2.3 Magnetostatic field

2.3 Magnetostatic field 37.3 Mageosaic field I a domai Ω wih boudar Γ, coaiig permae mages, i.e. aggregaes of mageic dipoles or, from ow o, sead elecric curre disribued wih desi J (m - ), a mageosaic field is se up; i is defied

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

Vibration 2-1 MENG331

Vibration 2-1 MENG331 Vibraio MENG33 Roos of Char. Eq. of DOF m,c,k sysem for λ o he splae λ, ζ ± ζ FIG..5 Dampig raios of commo maerials 3 4 T d T d / si cos B B e d d ζ ˆ ˆ d T N e B e B ζ ζ d T T w w e e e B e B ˆ ˆ ζ ζ

More information

Let s express the absorption of radiation by dipoles as a dipole correlation function.

Let s express the absorption of radiation by dipoles as a dipole correlation function. MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

THE GENERATION OF THE CURVED SPUR GEARS TOOTHING

THE GENERATION OF THE CURVED SPUR GEARS TOOTHING 5 INTERNATIONAL MEETING OF THE CARPATHIAN REGION SPECIALISTS IN THE FIELD OF GEARS THE GENERATION OF THE CURVED SPUR GEARS TOOTHING Boja Şefa, Sucală Felicia, Căilă Aurica, Tăaru Ovidiu Uiversiaea Teică

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

Lateral torsional buckling of rectangular beams using variational iteration method

Lateral torsional buckling of rectangular beams using variational iteration method Scieific Research ad Essas Vol. 6(6), pp. 445-457, 8 March, Available olie a hp://www.academicjourals.org/sre ISSN 99-48 Academic Jourals Full egh Research Paper aeral orsioal bucklig of recagular beams

More information

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band MATEC We of Cofereces 7 7 OI:./ maeccof/77 XXVI R-S-P Semiar 7 Theoreical Foudaio of Civil Egieerig Effecs of Forces Applied i he Middle Plae o Bedig of Medium-Thickess Bad Adre Leoev * Moscow sae uiversi

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Chapter 6 - Work and Energy

Chapter 6 - Work and Energy Caper 6 - Work ad Eergy Rosedo Pysics 1-B Eploraory Aciviy Usig your book or e iere aswer e ollowig quesios: How is work doe? Deie work, joule, eergy, poeial ad kieic eergy. How does e work doe o a objec

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

Exploring and Simulating Chaotic Advection: A Difference Equations Approach

Exploring and Simulating Chaotic Advection: A Difference Equations Approach Eplorig ad Simulaig Chaoic Advecio: A Differece Equaios Approach C. H. Skiadas Techical Uiversiy of Cree, Chaia, Cree, Greece Absrac: This paper eplores he chaoic properies of a advecio sysem epressed

More information

MCR3U FINAL EXAM REVIEW (JANUARY 2015)

MCR3U FINAL EXAM REVIEW (JANUARY 2015) MCRU FINAL EXAM REVIEW (JANUARY 0) Iroducio: This review is composed of possible es quesios. The BEST wa o sud for mah is o do a wide selecio of quesios. This review should ake ou a oal of hours of work,

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12=

( ) ( ) ( ) ( ) (b) (a) sin. (c) sin sin 0. 2 π = + (d) k l k l (e) if x = 3 is a solution of the equation x 5x+ 12= Eesio Mahemaics Soluios HSC Quesio Oe (a) d 6 si 4 6 si si (b) (c) 7 4 ( si ).si +. ( si ) si + 56 (d) k + l ky + ly P is, k l k l + + + 5 + 7, + + 5 9, ( 5,9) if is a soluio of he equaio 5+ Therefore

More information

CONTACT BETWEEN FLEXIBLE BODIES IN NONLINEAR ANALYSIS, USING LAGRANGE MULTIPLIERS

CONTACT BETWEEN FLEXIBLE BODIES IN NONLINEAR ANALYSIS, USING LAGRANGE MULTIPLIERS COAC BEWEE FLEXIBLE BODIES I OLIEAR AALYSIS, USIG LAGRAGE MULIPLIERS Dr. Phillipe Jeeur Philippe.jeeur@samcef.com Samech, Parc Scieifiue du Sar-ilma Rue des Chasseurs Ardeais, 8 B-403 Agleur-Liège, Belgium

More information

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE ANALYSIS OF THE CHAOS DYNAMICS IN (X,X ) PLANE Soegiao Soelisioo, The Houw Liog Badug Isiue of Techolog (ITB) Idoesia soegiao@sude.fi.ib.ac.id Absrac I he las decade, sudies of chaoic ssem are more ofe

More information

9. Point mode plotting with more than two images 2 hours

9. Point mode plotting with more than two images 2 hours Lecure 9 - - // Cocep Hell/feiffer Februar 9. oi mode ploig wih more ha wo images hours aim: iersecio of more ha wo ras wih orieaed images Theor: Applicaio co lieari equaio 9.. Spaial Resecio ad Iersecio

More information

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1)

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1) Ope Access Joural of Mahemaical ad Theoreical Physics Mii Review The uiversal vecor Ope Access Absrac This paper akes Asroheology mahemaics ad pus some of i i erms of liear algebra. All of physics ca be

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

(C) x 3 + y 3 = 2(x 2 + y 2 ) (D) x y 2 (A) (10)! (B) (11)! (C) (10)! + 1 (D) (11)! 1. n in the expansion of 2 (A) 15 (B) 45 (C) 55 (D) 56

(C) x 3 + y 3 = 2(x 2 + y 2 ) (D) x y 2 (A) (10)! (B) (11)! (C) (10)! + 1 (D) (11)! 1. n in the expansion of 2 (A) 15 (B) 45 (C) 55 (D) 56 Cocep rackig paper-7 (ST+BT) Q. If 60 a = ad 60 b = 5 he he value of SINGLE OPTION CORRECT a b ( b) equals (D) Time-5hrs 0mis. Q. ( + x) ( + x + x ) ( + x + x + x )... ( + x + x +... + x 00 ) whe wrie

More information

CHAPTER 2 TORSIONAL VIBRATIONS

CHAPTER 2 TORSIONAL VIBRATIONS Dr Tiwari, Associae Professor, De. of Mechaical Egg., T Guwahai, (riwari@iig.ere.i) CHAPTE TOSONAL VBATONS Torsioal vibraios is redomia wheever here is large discs o relaively hi shafs (e.g. flywheel of

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

6.2 The Moment-Curvature Equations

6.2 The Moment-Curvature Equations Secio 6. 6. The ome-crare Eqaios 6.. From Beam Theor o Plae Theor I he beam heor based o he assmpios of plae secios remaiig plae ad ha oe ca eglec he raserse srai he srai aries liearl hrogh he hickess.

More information

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents Coes 1 Temporal filers 1 1.1 Modelig sequeces 1 1.2 Temporal filers 3 1.2.1 Temporal Gaussia 5 1.2.2 Temporal derivaives 6 1.2.3 Spaioemporal Gabor filers 8 1.3 Velociy-ued filers 9 Bibliography 13 1

More information

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline: ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric

More information

S n. = n. Sum of first n terms of an A. P is

S n. = n. Sum of first n terms of an A. P is PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1 Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good

More information

Chemistry 1B, Fall 2016 Topics 21-22

Chemistry 1B, Fall 2016 Topics 21-22 Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

Three Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method

Three Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) Three Poi Bedig Aalysis o a Mobile Phoe Usig LS-DYNA Explici Iegraio Mehod Feixia Pa, Jiase Zhu, Ai O. Helmie, Rami Vaaparas NOKIA Ic. Absrac I

More information

9. THE MULTIBODY. 9.1 Multibody systems

9. THE MULTIBODY. 9.1 Multibody systems 9. THE MULTIDY We have ow leared how o hadle rigid body dyamics as well as he basics of deformable body dyamics. The ex sep is o cosider mechaical sysems cosisig of wo or more bodies of hese ypes iercoeced

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

Vibration damping of the cantilever beam with the use of the parametric excitation

Vibration damping of the cantilever beam with the use of the parametric excitation The s Ieraioal Cogress o Soud ad Vibraio 3-7 Jul, 4, Beijig/Chia Vibraio dampig of he cailever beam wih he use of he parameric exciaio Jiří TŮMA, Pavel ŠURÁNE, Miroslav MAHDA VSB Techical Uiversi of Osrava

More information

N coupled oscillators

N coupled oscillators Waves Waves. N coupled oscillaors owards he coiuous limi. Sreched srig ad he wave equaio 3. he d lember soluio 4. Siusoidal waves, wave characerisics ad oaio N coupled oscillaors Cosider fleible elasic

More information

An Efficient Method to Reduce the Numerical Dispersion in the HIE-FDTD Scheme

An Efficient Method to Reduce the Numerical Dispersion in the HIE-FDTD Scheme Wireless Egieerig ad Techolog, 0,, 30-36 doi:0.436/we.0.005 Published Olie Jauar 0 (hp://www.scirp.org/joural/we) A Efficie Mehod o Reduce he umerical Dispersio i he IE- Scheme Jua Che, Aue Zhag School

More information

Chemical Engineering 374

Chemical Engineering 374 Chemical Egieerig 374 Fluid Mechaics NoNeoia Fluids Oulie 2 Types ad properies of o-neoia Fluids Pipe flos for o-neoia fluids Velociy profile / flo rae Pressure op Fricio facor Pump poer Rheological Parameers

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend 6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

Section 8. Paraxial Raytracing

Section 8. Paraxial Raytracing Secio 8 Paraxial aracig 8- OPTI-5 Opical Desig ad Isrmeaio I oprigh 7 Joh E. Greiveamp YNU arace efracio (or reflecio) occrs a a ierface bewee wo opical spaces. The rasfer disace ' allows he ra heigh '

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue

More information

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

Capítulo. of Particles: Energy and Momentum Methods

Capítulo. of Particles: Energy and Momentum Methods Capíulo 5 Kieics of Paicles: Eegy ad Momeum Mehods Mecáica II Coes Ioducio Wok of a Foce Piciple of Wok & Eegy pplicaios of he Piciple of Wok & Eegy Powe ad Efficiecy Sample Poblem 3. Sample Poblem 3.

More information

The Hyperbolic Model with a Small Parameter for. Studying the Process of Impact of a Thermoelastic. Rod against a Heated Rigid Barrier

The Hyperbolic Model with a Small Parameter for. Studying the Process of Impact of a Thermoelastic. Rod against a Heated Rigid Barrier Applied Mahemaical Scieces, Vol., 6, o. 4, 37-5 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/.988/ams.6.6457 The Hyperbolic Model wih a Small Parameer for Sudyig he Process of Impac of a Thermoelasic Rod

More information

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEAR APPROXIMATION OF THE BASELINE RBC MODEL FEBRUARY, 202 Iroducio For f(, y, z ), mulivariable Taylor liear epasio aroud (, yz, ) f (, y, z) f(, y, z) + f (, y, z)( ) + f (, y, z)( y y) + f (, y, z)(

More information

Transverse Vibrations of Elastic Thin Beam Resting on Variable Elastic Foundations and Subjected to Traveling Distributed Forces.

Transverse Vibrations of Elastic Thin Beam Resting on Variable Elastic Foundations and Subjected to Traveling Distributed Forces. Trasverse Vibraios of Elasic Thi Beam Resig o Variable Elasic Foudaios ad Subjeced o Travelig Disribued Forces. B. Omolofe ad S.N. Oguyebi * Deparme of Mahemaical Scieces, Federal Uiversiy of Techology,

More information

Additional Tables of Simulation Results

Additional Tables of Simulation Results Saisica Siica: Suppleme REGULARIZING LASSO: A CONSISTENT VARIABLE SELECTION METHOD Quefeg Li ad Ju Shao Uiversiy of Wiscosi, Madiso, Eas Chia Normal Uiversiy ad Uiversiy of Wiscosi, Madiso Supplemeary

More information

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline:

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline: ECE 340 ecure 19 : Seady Sae Carrier Ijecio Class Oulie: iffusio ad Recombiaio Seady Sae Carrier Ijecio Thigs you should kow whe you leave Key Quesios Wha are he major mechaisms of recombiaio? How do we

More information

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA Proceedigs of he 202 Ieraioal Coferece o Idusrial Egieerig ad Operaios Maageme Isabul, urey, July 3 6, 202 A eeralized Cos Malmquis Ide o he Produciviies of Uis wih Negaive Daa i DEA Shabam Razavya Deparme

More information

ANALELE UNIVERSITĂłII EFTIMIE MURGU REŞIłA ANUL XVIII, NR. 1, 2011, ISSN Radu Panaitescu-Liess, Amelitta Legendi, Cristian Pavel

ANALELE UNIVERSITĂłII EFTIMIE MURGU REŞIłA ANUL XVIII, NR. 1, 2011, ISSN Radu Panaitescu-Liess, Amelitta Legendi, Cristian Pavel ANALELE UNVERTĂł EFTME MURGU REŞłA ANUL XV, NR.,, N 453-7397 Radu Paaiescu-Liess, Aelia Legedi, Crisia Pavel Peculiar Aspecs of Roor-Bearig ses Vibraios The roor-bearig sses are arked boh b a aserical

More information

GEF DYNAMIC OCEANOGRAPHY: Waves and wave-induced mass transport in the ocean

GEF DYNAMIC OCEANOGRAPHY: Waves and wave-induced mass transport in the ocean GEF46 - DYNAMIC OCEANOGRAPHY: Waves ad wave-iduced mass raspor i he ocea JAN ERIK H. WEBER Deparme of Geoscieces ecio for Meeorolog ad Oceaograph Uiversi of Oslo E-mail: j.e.weber@geo.uio.o Auum 4 CONTENT

More information

A Novel Method for Representing Robot Kinematics using Quaternion Theory

A Novel Method for Representing Robot Kinematics using Quaternion Theory IEEE Sposored Coferece o Compuaioal Ielligece, Corol ad Compuer Visio i Roboics & Auomaio A Novel Mehod for Represeig Robo Kiemaics usig Quaerio Theor S. Sahu, B.B.Biswal ad Bidadhar Subudhi hp://dspace.irkl.ac.i/dspace

More information

Numerical Method for Ordinary Differential Equation

Numerical Method for Ordinary Differential Equation Numerical ehod for Ordiar Differeial Equaio. J. aro ad R. J. Lopez, Numerical Aalsis: A Pracical Approach, 3rd Ed., Wadsworh Publishig Co., Belmo, CA (99): Chap. 8.. Iiial Value Problem (IVP) d (IVP):

More information

CS623: Introduction to Computing with Neural Nets (lecture-10) Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay

CS623: Introduction to Computing with Neural Nets (lecture-10) Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay CS6: Iroducio o Compuig ih Neural Nes lecure- Pushpak Bhaacharyya Compuer Sciece ad Egieerig Deparme IIT Bombay Tilig Algorihm repea A kid of divide ad coquer sraegy Give he classes i he daa, ru he percepro

More information

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

More information

A THREE-DIMENSIONAL SECTOR MODEL FOR SOLID FLOW IN A BLAST FURNACE GEOMETRY

A THREE-DIMENSIONAL SECTOR MODEL FOR SOLID FLOW IN A BLAST FURNACE GEOMETRY A THREE-DIMENSIONAL SECTOR MODEL FOR SOLID FLOW IN A BLAST FURNACE GEOMETRY W.J. Yag 1) Z.Y. Zhou 1) A.B. Yu 1) ad D. Piso ) 1 Laboraory for Simulaio ad Modellig of Pariculae Sysems School of Maerials

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu Caper : Time-Domai Represeaios of Liear Time-Ivaria Sysems Ci-Wei Liu Oulie Iroucio Te Covoluio Sum Covoluio Sum Evaluaio Proceure Te Covoluio Iegral Covoluio Iegral Evaluaio Proceure Iercoecios of LTI

More information

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP) ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames

More information

UIUC Physics 406 Acoustical Physics of Music. Waves I:

UIUC Physics 406 Acoustical Physics of Music. Waves I: Waves I: Iroducio o Waves - Travelig Waves I hese lecure oes o waves, our goal is o udersad he phsical behavior of waves - waves o guiar srigs, soud waves i air, ad also i dese media - such as vibraig

More information

COMBUSTION. TA : Donggi Lee ROOM: Building N7-2 #3315 TELEPHONE : 3754 Cellphone : PROF.

COMBUSTION. TA : Donggi Lee ROOM: Building N7-2 #3315 TELEPHONE : 3754 Cellphone : PROF. COMBUSIO ROF. SEUG WOOK BAEK DEARME OF AEROSACE EGIEERIG, KAIS, I KOREA ROOM: Buldng 7- #334 ELEHOE : 3714 Cellphone : 1-53 - 5934 swbaek@kast.a.kr http://proom.kast.a.kr A : Dongg Lee ROOM: Buldng 7-

More information

Inference of the Second Order Autoregressive. Model with Unit Roots

Inference of the Second Order Autoregressive. Model with Unit Roots Ieraioal Mahemaical Forum Vol. 6 0 o. 5 595-604 Iferece of he Secod Order Auoregressive Model wih Ui Roos Ahmed H. Youssef Professor of Applied Saisics ad Ecoomerics Isiue of Saisical Sudies ad Research

More information

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

Curvilinear Motion: Normal and Tangential Components

Curvilinear Motion: Normal and Tangential Components 15 Crviliear Moio: Noral ad Tageial Copoe Ref: Hibbeler 1.7, Bedford & Fowler: Dyaic.3 Whe he pah of a paricle i kow, a - coordiae ye wih a origi a he locaio of he paricle (a a ia i ie) ca be helpfl i

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

Chapter I MATH FUNDAMENTALS I.3 Real Functions 27. After the completion of this section the student

Chapter I MATH FUNDAMENTALS I.3 Real Functions 27. After the completion of this section the student Chaper I MATH FUNDAMENTALS I. Real Fucios 7 I. REAL FUNCTIONS Ojecives: Afer he compleio of his secio he sude - should recall he defiiio of he asic algeraic ad rascedeal fucios - should e ale o deermie

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

CHAPTER 2. Problem 2.1. Given: m k = k 1. Determine the weight of the table sec (b)

CHAPTER 2. Problem 2.1. Given: m k = k 1. Determine the weight of the table sec (b) CHPTER Problem. Give: m T π 0. 5 sec (a) T m 50 g π. Deermie he weigh of he able. 075. sec (b) Taig he raio of Eq. (b) o Eq. (a) ad sqarig he resl gives or T T mg m 50 g m 50 5. 40 lbs 50 0.75. 5 m g 0.5.

More information

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013 LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 7, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( xyz,, ) = 0, mulivariable Taylor liear expasio aroud f( xyz,, ) f( xyz,, ) + f( xyz,, )( x

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

Extended Laguerre Polynomials

Extended Laguerre Polynomials I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College

More information

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

Advection! Discontinuous! solutions shocks! Shock Speed! ! f. !t + U!f. ! t! x. dx dt = U; t = 0

Advection! Discontinuous! solutions shocks! Shock Speed! ! f. !t + U!f. ! t! x. dx dt = U; t = 0 p://www.d.edu/~gryggva/cfd-course/ Advecio Discoiuous soluios socks Gréar Tryggvaso Sprig Discoiuous Soluios Cosider e liear Advecio Equaio + U = Te aalyic soluio is obaied by caracerisics d d = U; d d

More information

Prakash Chandra Rautaray 1, Ellipse 2

Prakash Chandra Rautaray 1, Ellipse 2 Prakash Chadra Rauara, Ellise / Ieraioal Joural of Egieerig Research ad Alicaios (IJERA) ISSN: 48-96 www.ijera.com Vol. 3, Issue, Jauar -Februar 3,.36-337 Degree Of Aroimaio Of Fucios B Modified Parial

More information

Evaluation of the Seismic Energy Demand for Asymmetric-Plan Buildings Subjected to Bi- Directional Ground Motions

Evaluation of the Seismic Energy Demand for Asymmetric-Plan Buildings Subjected to Bi- Directional Ground Motions Evaluaio of he Seismic Eergy Demad for Asymmeric-Pla Buildigs Subjeced o Bi- Direcioal Groud Moios Jui-Liag Li & Keh-Chyua sai Naioal Ceer for Research o Earhquae Egieerig aipei aiwa R.O.C. 9 NZSEE Coferece

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information