LATERAL BUCKLING STABILITY OF TRUSSED BEAM WITH UNDER UNIFORMLY DISTRIBUTED LOADS
|
|
- Dominic Brown
- 6 years ago
- Views:
Transcription
1 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) TER BKING STBIITY OF TRSSED BE WITH NDER NIFORY DISTRIBTED ODS RI FTIH Fut o ii Enginring, nirsit o Sin n Thnoog Houri Bouin, BP, E i,bb Eour girs, gri ri_t@hoo.r DN REDONE Fut o ii Enginring, nirsit o Sin n Thnoog Houri Bouin, BP, E i,bb Eour girs, gri r_n@hoo.r BOKHF DI Fut o ii Enginring, nirsit o Sin n Thnoog Houri Bouin, BP, E i,bb Eour girs, gri.boukh@hoo.r bstrt: Th prsnt ppr instigts th tr stbiit o unrstrin tti girr. oring to th Europn st o, Euroo, th unrstrin b buking rsistn is untion o th thorti tr buking ont o th b. Th prssion o th tr buking ont is propos b th o or soi wb girr; howr, no inortion is gin or th s o truss b. tti girr, whih n proi rti ight struturs with high rigiit, r otn us s bs, n whn suh unrstrin nts bn bout thir strong inrti is, th hibit tr buking phnonon. Th ppr prsnts o tht ws op or th nsis o th tr buking stbiit o truss bs with onstnt ross stion. Bs on this o, n prssion o th tr buking ont is stbish in th s o unior istribut os. Kwors: Euroo ; tr buking; tti girr; thin w; truss b; wrping. ISSN : Vo. 5 No. Fbrur 77
2 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) Nontur w,, E G I, I I J r q n W u,, w u,, w,,, n ross stion r r o quint wb o truss b oiints o thorti tr buking ont Young s ouus o otion in rtion to shr ntr Shr ouus Prinip ont o inrti bout n is Wrping onstnt Torsion onstnt B ngth Thorti tr buking ont Bning ont bout is Distribut o in th irtion Strin nrg inr prt o th strin nrg Son orr prt o th strin nrg Work o th ppi os Dispnt oponnts o th shr ntr in th, n is Dispnt oponnts o point in th, n is Prinip o-orint o point in th gob G rrn Shr o-orint in th G rrn Wgnr s oiint i strin oponnt inr prt o th i strin Son orr prt o th i strin Tot potnti Torsion ng Torsion pitu o Stori or wrping o-orint. Introution Ents us in st struturs b onsir s n ssb o nubr o thin t ws. For p, in th s o n I-stion, h w is onnt to nothr w prpniur to it. Suh nts r "thin-w nts with opn stion" or n "thin-w nts with opn proi". Whn n unrstrin thin-w nt bns bout its strong inrti is, it hibit tr buking phnonon. s rsut, prt o th stion is in oprssion n th othr is in tnsion. rs in oprssion tn to buk tr in th irtion prpniur to th pn o bning, whrs rs in tnsion tn to oppos th tr ispnt, thror, tr buking is opni b rottion o th stions roun th ongituin is o th b. This bhiour o thin-w bs is or op sin th phnonon onsists o ouping btwn bning n torsion n so th torsion is opni with wrping. Vso s o [], op or non-unior torsion is oon opt or th ution o thin-w struturs. tr buking is prnt in nts whr th strutur rrngnts h bn opt to prnt th ont o th oprssion on out o pn bning. Whn prt b bns bout its strong inrti is, tr buking tks p or riti u o th iu bning ont «tr buking ont». This u is untion o th bning istribution, th n onitions, th o prtr n th gr o ono-str o th stion. In th Europn st o, Euroo [], n prssion o th tr buking ont is propos or th s soi wb girr; howr, no inortion is gin or th s o tti girr. Truss b r otn us s bs bning bout thir strong is o inrti n thror pron to th tr buking phnon whn th r unrstrin. In th prsnt work, truss b is ssiit to iti soi wbb b with r wb quint to truss brs. Bhiour o Suh soi wb girr is t b shr ortion. Thror, introuing shr ortion t in quiibriu qution, thorti o is op or th tr buking o truss bs. n prssion o th tr buking ont is propos or sip support b subjt to unior istribut os. ISSN : Vo. 5 No. Fbrur 78
3 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST). Equint Wb o Truss B Equint wb o truss b w is th r wb o soi wb girr whih hs th s shr ortion s th truss b. Th u o w is trint suh s trnsrs ortion o truss b pn o ngth is: V V ) G w V Z V Z Z h ; ; Y X B uting V oring to Fig. : Fig.. Trnsrs ortion o truss b pn. V V ) Eh sing Eq. ) n Eq. ), oowing prssion o quint wb o truss b w is obtin: w G G Eh ot ot E gθ gθ ) sin Θ sin Θ. Thorti tr buking nsis.. Strin nrg o thin-w nt with opn stion In th s o thin-w nt s shown in Fig., n ssuing n sti bhiour, th strin nrg o this nt inuing th torsion is gin b [], []: E GJ ') ) ) ISSN : Vo. 5 No. Fbrur 79
4 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) Fig. : Shti o thin-w nt in rtsin o-orint rrn [] In Eq. ) bo, is th i oponnt o strin tnsor whos u n b pproit b th prssion: u' ' ) w' )) 5) whr u, t w r th ritis with rspt to th rib o th thr oponnts o th ispnt o point on th ontour o th ross stion Fig.) in b its o-orints,, ) ; whr is th stori o-orint o th point introu in Vso s o u to non-unior torsion. B opting th ssuption tht th ontour o th ross stion is rigi in its pn, th thr ispnt oponnts o point n b ri ro thos o th shr ntr, in b its oorints, ) in G rtsin rrn. Th oowing rtionships r oon us: u u ' w' ' 6) ) 7) w w ) 8) whr u, n w r th ispnt oponnts o th shr ntr rspti in th, n irtions n is th twist ng ng o rottion) roun. onsiring tht th ispnt onsists o two prts, th inr prt n son orr prt n suh tht: 9) n whr, u' ) n ' ) w' )) ) sing Eq. 6), Eq. 7) n Eq. 8), th oowing rtionships b writtn: u' '' w'' " ) n ' w' R ') ) w' ' ) ' ' ) in Eq. ), th prssion o R is : R ) ) ) Substituting in Eq. ), th strin nrg bos: ' E n n ) GJ ) 5) ISSN : Vo. 5 No. Fbrur 8
5 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) In th s o inr stbiit, th ontribution o n is oitt, n th tot strin nrg n b writtn s th su o inr prt n son orr prt: whr, ' E GJ ) E GJ ' ) n thror: n Knowing tht: E n 7) E 8) n ; I ; I ; I n tht th i or N whih is qu to: n 6) ; 9) N E Eu' ) is ro in th s o th tr buking o bs, oowing prssion or th inr prt o th strin nrg is obtin: ' '' ") w") )) GJ ) ) In th s nnr, th son orr prt o strin nrg n b orut s untion o th initi os n s to: N) ) ) B ) ) n n n n n in whih, N nots th i or, n rprsnt th bning onts n B is th bi-ont introu in Vso s o. In th s o tr buking o bs o initi bout th strong inrti is is), initi os r ru to. Introuing t o shr ortion, th son orr prt o strin nrg is thn: V n n ) ' " ) Gw ) is Wgnr s oiint in s : ) ) I Th prssion o th strin nrg is thn ru to: w") ") GJ ') " ) q ) ' " ) 5) Whr: G w t q V.. Forution o th quiibriu qution onsir stright b with I ross stion, unr unior istribut os q ppi ong points P ot t th hight ro th shr ntr, s shown in Fig.. ISSN : Vo. 5 No. Fbrur 8
6 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) q q P w P w p Fig. : tr buking o b with I ross stion Th rti ispnt w p o points P, tking into ount th tr buking ortion n b prss s untion o th ispnt w o th shr ntr. It n b writtn s: w w os 6) p nr th ssuption o s ortions, th untions os is pproit b: os 7) Th prssion o th ispnt w p is thn: w w 8) p Th trn o work W, oring to th ispnt w p Eq. 8), is in b th rtionship: W qwp qw q 9) sing Eq. 5) n Eq. 9), th tot potnti nrg o th b in tr buking bhiour is: W w") ") GJ ') " ) q ) ' " ) q w q Whn th tot potnti nrg, whih is untion o th irtu ispnts n thir ritis, is iu, th oowing rtionships n b writtn: ' '' w w w w ' '' q ) " q ) q ) ' '' ) ) ) q ) " ) Z GJ '' q ) ')' ) ISSN : Vo. 5 No. Fbrur 8
7 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) Eq. ) rrs on to ispnt w n orrspons to th ssi quiibriu qution o th b bor buking. It hs no t on th tr buking ont. Howr, in th s o sip support b, th quiibriu qution Eq. ) n b trnsor to: ' ' q ) ) Z Th tr ispnt n b iint b soing Eq. ) or n substituting this rsut into Eq. ). Th gorning tr buking qution is thn: )' ' q ) ) GJ q ) ) " q q ) 5) For unior istribut o q, th prssion o th bning ont ) is: ) q q 6) whih ipis tht th o q is positi i ting ownwr... Dopnt o tr buking ont prssion sing Grkin s tho [5], th quiibriu qution Eq. 5) n b trnsor to sip or b utiping b n intgrting ong th b ngth. t irst, in optibiit with th bounr onitions o th b whih r ssu to b: t n 7) t n ng o twist ) is pproit b th untion : ) sin 9) Whn Grkin s tho is ppi to quiibriu qution Eq. 5), th oowing rtionship is obtin: q sin sin sin sin q q GJ) sin sin q ' )sin sin os sin sin sin To sipi th bo prssion, hng o ribs [6] is so tht th intgrtion oin [, ] is in: ; ; ) ition, th bning ont is nori to unit b iiing b th iu u o th bning ont: ) ) ) ) V ) ' 8) ) ) ISSN : Vo. 5 No. Fbrur 8
8 " ) q 5) B king ths hngs in qution ), th oowing is thn obtin: "sin "sin sin " ) sin ) sin os ' "sin sin sin sin GJ 6) t us tk: sin sin. b sin os '. ) " sin )sin " )sin " Intgrting th irst two trs in Eq. 6), th tr buking ont is gin b th soutions o qurti qution writtn in th or: GJ b 7) Th positi root o th bo qution is: ω b b r GJ β β 8) To obtin n prssion o r siir to tht opt in th Europn st o, Euroo [], th oiints, n r in s: 9) 5) ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) ISSN : Vo. 5 No. Fbrur 8
9 ri Ftih t. / Intrntion Journ o Enginring Sin n Thnoog IJEST) b 5) In this s, Eq. 8) bos: r I GJ ) ) I oiints, n r obtin tr intgrtion ong th b. Th r thn:,77 5),898 6,9 Gw Gw,866 5),898 6,9 G,898 6,9 G w,8 G w G G w w 55). onusion In this ppr, thorti o hs bn op or th ution o th tr buking ont r or sip support truss b unr unior istribut os. Eprssion o r siir to tht opt in th Europn st o, Euroo is propos. Shr ortion t ppr through th oiints, n. On n obsr tht, i shr ortion t is ngigib, th bo oiints r th s s Euroo s oiints in this o s =,; =,59; =,55). Rrns [] B.Z. Vsso Piès ongus n ois ins Eros 96 [] Euroo - u s struturs n ir t ount ppition ntion. Prti. : Règs générs t règs pour bâtint - Eros 997. [] S.P. Tioshnko, J.. Gr Thor o sti stbiit Grw-Hi 96. [] F. ohri,. Brouki, J.. Roth Thorti n nuri stbiit nss o unrstrin, ono-stri thin-w bs Journ o onstrution st rsrh. [5] H. Dj Théori u son orr stbiité éstiqu s brrs à prois ins t proi ourt t son ppition nns ITBTP. Suppént u n Sptbr 97. [6] S.. Wikrson Ipro oiints or sti tr-torsion buking 6 th I/SE/SE/HS/S Struturs, Strutur Dnis n tris onrn, ustin, Ts 8- pri 5. 5) ISSN : Vo. 5 No. Fbrur 85
BASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY
SI TIS SOWN OS TOP SPRIN INRS INNR W TS R OIN OVR S N OVR OR RIIITY. R IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+) TRNSIVR. R. RR S OPTION (S T ON ST ) TURS US WIT OPTION T SINS. R (INSI TO
More informationBASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP
MO: PSM SY SI TIS SOWN SPRIN INRS OS TOP INNR W TS R OIN OVR S N OVR OR RIIITY. R TURS US WIT OPTION T SINS. R (UNOMPRSS) RR S OPTION (S T ON ST ) IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+)
More informationOutline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example
Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim's Alorithm Introution Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #33 3 Alorithm Gnrl Constrution Mik Joson (Univrsity o Clry)
More information(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely
. DETERMINANT.. Dtrminnt. Introution:I you think row vtor o mtrix s oorint o vtors in sp, thn th gomtri mning o th rnk o th mtrix is th imnsion o th prlllppi spnn y thm. But w r not only r out th imnsion,
More informationCycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!
Outlin Computr Sin 331, Spnnin, n Surphs Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #30 1 Introution 2 3 Dinition 4 Spnnin 5 6 Mik Joson (Univrsity o Clry) Computr Sin 331 Ltur #30 1 / 20 Mik
More informationOutline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs
Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim s Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #34 Introution Min-Cost Spnnin Trs 3 Gnrl Constrution 4 5 Trmintion n Eiiny 6 Aitionl
More information1 Introduction to Modulo 7 Arithmetic
1 Introution to Moulo 7 Arithmti Bor w try our hn t solvin som hr Moulr KnKns, lt s tk los look t on moulr rithmti, mo 7 rithmti. You ll s in this sminr tht rithmti moulo prim is quit irnt rom th ons w
More informationWhy the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.
Why th Juntion Tr lgorithm? Th Juntion Tr lgorithm hris Willims 1 Shool of Informtis, Univrsity of Einurgh Otor 2009 Th JT is gnrl-purpos lgorithm for omputing (onitionl) mrginls on grphs. It os this y
More informationPlanar Upward Drawings
C.S. 252 Pro. Rorto Tmssi Computtionl Gomtry Sm. II, 1992 1993 Dt: My 3, 1993 Sri: Shmsi Moussvi Plnr Upwr Drwings 1 Thorm: G is yli i n only i it hs upwr rwing. Proo: 1. An upwr rwing is yli. Follow th
More informationSOCKET WELD OR THREADED BODY TYPE (3051SFP FLOWMETER SHOWN THROUGHOUT / 3051CFP, 2051CFP AVAILABLE)
9 10 12 13 14 15 16 RVISION T RVISION O NO. PP' T SI1053953 3/30/17 03/31/17 SRIPTION NOT 10 N RIITION ON ST 10. T 1 - OY INSIONS 2X 1/4" NPT VNT VVS INSIONS IN SIZ 3.4 [86.0] 3.8 [97.0] 4.5 [4.0] 4.7
More informationMath 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.
Nm: UCA ID Numr: Stion lttr: th 61 : Disrt Struturs Finl Exm Instrutor: Ciprin nolsu You hv 180 minuts. No ooks, nots or lultors r llow. Do not us your own srth ppr. 1. (2 points h) Tru/Fls: Cirl th right
More informationDesigning A Concrete Arch Bridge
This is th mous Shwnh ri in Switzrln, sin y Rort Millrt in 1933. It spns 37.4 mtrs (122 t) n ws sin usin th sm rphil mths tht will monstrt in this lsson. To pro with this lsson, lik on th Nxt utton hr
More informationNEURO ADAPTIVE COMMAND SYSTEMS FOR ROCKETS MOVE
Annls o th Univrsit o Criov Eltril Enginring sris No 8; ISSN 84-485 NEURO ADAPIE COAND SYSES OR ROCKES OE Romls LUNGU ihi LUNGU Avionis Dprtmnt Univrsit o Criov lt o Eltrothnis Blv Dbl No7 Criov Dolj ROANIA
More informationPaths. Connectivity. Euler and Hamilton Paths. Planar graphs.
Pths.. Eulr n Hmilton Pths.. Pth D. A pth rom s to t is squn o gs {x 0, x 1 }, {x 1, x 2 },... {x n 1, x n }, whr x 0 = s, n x n = t. D. Th lngth o pth is th numr o gs in it. {, } {, } {, } {, } {, } {,
More informationECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS
C 24 - COMBINATIONAL BUILDING BLOCKS - INVST 3 DCODS AND NCODS FALL 23 AP FLZ To o "wll" on this invstition you must not only t th riht nswrs ut must lso o nt, omplt n onis writups tht mk ovious wht h
More informationCOMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS
OMPLXITY O OUNTING PLNR TILINGS Y TWO RS KYL MYR strt. W show tht th prolm o trmining th numr o wys o tiling plnr igur with horizontl n vrtil r is #P-omplt. W uil o o th rsults o uquir, Nivt, Rmil, n Roson
More informationAlgorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph
Intrntionl J.Mth. Comin. Vol.1(2014), 80-86 Algorithmi n NP-Compltnss Aspts of Totl Lit Domintion Numr of Grph Girish.V.R. (PES Institut of Thnology(South Cmpus), Bnglor, Krntk Stt, Ini) P.Ush (Dprtmnt
More informationEE1000 Project 4 Digital Volt Meter
Ovrviw EE1000 Projt 4 Diitl Volt Mtr In this projt, w mk vi tht n msur volts in th rn o 0 to 4 Volts with on iit o ury. Th input is n nlo volt n th output is sinl 7-smnt iit tht tlls us wht tht input s
More informationV={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}
Introution Computr Sin & Enginring 423/823 Dsign n Anlysis of Algorithms Ltur 03 Elmntry Grph Algorithms (Chptr 22) Stphn Sott (Apt from Vinohnrn N. Vriym) I Grphs r strt t typs tht r pplil to numrous
More informationGraphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1
CSC 00 Disrt Struturs : Introuon to Grph Thory Grphs Grphs CSC 00 Disrt Struturs Villnov Univrsity Grphs r isrt struturs onsisng o vrs n gs tht onnt ths vrs. Grphs n us to mol: omputr systms/ntworks mthml
More informationIntegration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals
Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion
More information12. Traffic engineering
lt2.ppt S-38. Introution to Tltrffi Thory Spring 200 2 Topology Pths A tlommunition ntwork onsists of nos n links Lt N not th st of nos in with n Lt J not th st of nos in with j N = {,,,,} J = {,2,3,,2}
More informationDEVELOPING COMPUTER PROGRAM FOR COMPUTING EIGENPAIRS OF 2 2 MATRICES AND 3 3 UPPER TRIANGULAR MATRICES USING THE SIMPLE ALGORITHM
Fr Est Journl o Mthtil Sins (FJMS) Volu 6 Nur Pgs 8- Pulish Onlin: Sptr This ppr is vill onlin t http://pphjo/journls/jsht Pushp Pulishing Hous DEVELOPING COMPUTER PROGRAM FOR COMPUTING EIGENPAIRS OF MATRICES
More informationChapter 7. A Quantum Mechanical Model for the Vibration and Rotation of Molecules
Chaptr 7. A Quantu Mchanica Mo for th Vibration an Rotation of Mocus Haronic osciator: Hook s aw: F k is ispacnt Haronic potntia: V F k k is forc constant: V k curvatur of V at quiibriu Nwton s quation:
More informationConstructive Geometric Constraint Solving
Construtiv Gomtri Constrint Solving Antoni Soto i Rir Dprtmnt Llngutgs i Sistms Inormàtis Univrsitt Politèni Ctluny Brlon, Sptmr 2002 CGCS p.1/37 Prliminris CGCS p.2/37 Gomtri onstrint prolm C 2 D L BC
More information# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.
How os it work? Pl vlu o imls rprsnt prts o whol numr or ojt # 0 000 Tns o thousns # 000 # 00 Thousns Hunrs Tns Ons # 0 Diml point st iml pl: ' 0 # 0 on tnth n iml pl: ' 0 # 00 on hunrth r iml pl: ' 0
More information, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management
nrl tr T is init st o on or mor nos suh tht thr is on sint no r, ll th root o T, n th rminin nos r prtition into n isjoint susts T, T,, T n, h o whih is tr, n whos roots r, r,, r n, rsptivly, r hilrn o
More informationCSE 373. Graphs 1: Concepts, Depth/Breadth-First Search reading: Weiss Ch. 9. slides created by Marty Stepp
CSE 373 Grphs 1: Conpts, Dpth/Brth-First Srh ring: Wiss Ch. 9 slis rt y Mrty Stpp http://www.s.wshington.u/373/ Univrsity o Wshington, ll rights rsrv. 1 Wht is grph? 56 Tokyo Sttl Soul 128 16 30 181 140
More informationGraphs. CSC 1300 Discrete Structures Villanova University. Villanova CSC Dr Papalaskari
Grphs CSC 1300 Disrt Struturs Villnov Univrsity Grphs Grphs r isrt struturs onsis?ng of vr?s n gs tht onnt ths vr?s. Grphs n us to mol: omputr systms/ntworks mthm?l rl?ons logi iruit lyout jos/prosss f
More informationL.3922 M.C. L.3922 M.C. L.2996 M.C. L.3909 M.C. L.5632 M.C. L M.C. L.5632 M.C. L M.C. DRIVE STAR NORTH STAR NORTH NORTH DRIVE
N URY T NORTON PROV N RRONOUS NORTON NVRTNTY PROV. SPY S NY TY OR UT T TY RY OS NOT URNT T S TT T NORTON PROV S ORRT, NSR S POSS, VRY ORT S N ON N T S T TY RY. TS NORTON S N OP RO RORS RT SU "" YW No.
More informationDynamics of two coupled 4-DOF mechanical linear sliding systems with dry friction (BIF304-15) Angelika Kosińska, Dariusz Grzelczyk, Jan Awrejcewicz
Dnis o two oupd -DOF hni inr sidin ssts with dr rition BF- Ani Kosińs, Driusz Grzz, Jn Awrjwiz Abstrt: Th ppr introdus od o two idnti oupd -DOF hni inr sidin ssts with dr rition oupd with h othr b inr
More information12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)
12/3/12 Outlin Prt 10. Grphs CS 200 Algorithms n Dt Struturs Introution Trminology Implmnting Grphs Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 1 Ciruits Cyl 2 Eulr
More informationCSC Design and Analysis of Algorithms. Example: Change-Making Problem
CSC 801- Dsign n Anlysis of Algorithms Ltur 11 Gry Thniqu Exmpl: Chng-Mking Prolm Givn unlimit mounts of oins of nomintions 1 > > m, giv hng for mount n with th lst numr of oins Exmpl: 1 = 25, 2 =10, =
More information5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs
Prt 10. Grphs CS 200 Algorithms n Dt Struturs 1 Introution Trminology Implmnting Grphs Outlin Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 2 Ciruits Cyl A spil yl
More informationPage 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.
ConTst Clikr ustions Chtr 19 Physis, 4 th Eition Jms S. Wlkr ustion 19.1 Two hrg blls r rlling h othr s thy hng from th iling. Wht n you sy bout thir hrgs? Eltri Chrg I on is ositiv, th othr is ngtiv both
More informationV={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}
s s of s Computr Sin & Enginring 423/823 Dsign n Anlysis of Ltur 03 (Chptr 22) Stphn Sott (Apt from Vinohnrn N. Vriym) s of s s r strt t typs tht r pplil to numrous prolms Cn ptur ntitis, rltionships twn
More informationHIGHER ORDER DIFFERENTIAL EQUATIONS
Prof Enriqu Mtus Nivs PhD in Mthmtis Edution IGER ORDER DIFFERENTIAL EQUATIONS omognous linr qutions with onstnt offiints of ordr two highr Appl rdution mthod to dtrmin solution of th nonhomognous qution
More informationPresent state Next state Q + M N
Qustion 1. An M-N lip-lop works s ollows: I MN=00, th nxt stt o th lip lop is 0. I MN=01, th nxt stt o th lip-lop is th sm s th prsnt stt I MN=10, th nxt stt o th lip-lop is th omplmnt o th prsnt stt I
More informationOutline. Binary Tree
Outlin Similrity Srh Th Binry Brnh Distn Nikolus Austn nikolus.ustn@s..t Dpt. o Computr Sins Univrsity o Slzur http://rsrh.uni-slzur.t 1 Binry Brnh Distn Binry Rprsnttion o Tr Binry Brnhs Lowr Boun or
More informationQUESTIONS BEGIN HERE!
Points miss: Stunt's Nm: Totl sor: /100 points Est Tnnss Stt Univrsity Dprtmnt o Computr n Inormtion Sins CSCI 2710 (Trno) Disrt Struturs TEST or Sprin Smstr, 2005 R this or strtin! This tst is los ook
More informationTOPIC 5: INTEGRATION
TOPIC 5: INTEGRATION. Th indfinit intgrl In mny rspcts, th oprtion of intgrtion tht w r studying hr is th invrs oprtion of drivtion. Dfinition.. Th function F is n ntidrivtiv (or primitiv) of th function
More informationAn undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V
Unirt Grphs An unirt grph G = (V, E) V st o vrtis E st o unorr gs (v,w) whr v, w in V USE: to mol symmtri rltionships twn ntitis vrtis v n w r jnt i thr is n g (v,w) [or (w,v)] th g (v,w) is inint upon
More informationCATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A. Ήχος Πα. to os se e e na aș te e e slă ă ă vi i i i i
CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A Ήχος α H ris to os s n ș t slă ă ă vi i i i i ți'l Hris to o os di in c ru u uri, în tâm pi i n ți i'l Hris
More informationME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören
ME 522 PINCIPLES OF OBOTICS FIST MIDTEM EXAMINATION April 9, 202 Nm Lst Nm M. Kml Özgörn 2 4 60 40 40 0 80 250 USEFUL FOMULAS cos( ) cos cos sin sin sin( ) sin cos cos sin sin y/ r, cos x/ r, r 0 tn 2(
More informationThe University of Sydney MATH2969/2069. Graph Theory Tutorial 5 (Week 12) Solutions 2008
Th Univrsity o Syny MATH2969/2069 Grph Thory Tutoril 5 (Wk 12) Solutions 2008 1. (i) Lt G th isonnt plnr grph shown. Drw its ul G, n th ul o th ul (G ). (ii) Show tht i G is isonnt plnr grph, thn G is
More informationOutline. Circuits. Euler paths/circuits 4/25/12. Part 10. Graphs. Euler s bridge problem (Bridges of Konigsberg Problem)
4/25/12 Outlin Prt 10. Grphs CS 200 Algorithms n Dt Struturs Introution Trminology Implmnting Grphs Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 1 2 Eulr s rig prolm
More informationDecimals DECIMALS.
Dimls DECIMALS www.mthltis.o.uk ow os it work? Solutions Dimls P qustions Pl vlu o imls 0 000 00 000 0 000 00 0 000 00 0 000 00 0 000 tnths or 0 thousnths or 000 hunrths or 00 hunrths or 00 0 tn thousnths
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More informationSolutions to Homework 5
Solutions to Homwork 5 Pro. Silvia Frnánz Disrt Mathmatis Math 53A, Fall 2008. [3.4 #] (a) Thr ar x olor hois or vrtx an x or ah o th othr thr vrtis. So th hromati polynomial is P (G, x) =x (x ) 3. ()
More informationNumbering Boundary Nodes
Numring Bounry Nos Lh MBri Empori Stt Univrsity August 10, 2001 1 Introution Th purpos of this ppr is to xplor how numring ltril rsistor ntworks ffts thir rspons mtrix, Λ. Morovr, wht n lrn from Λ out
More informationb. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s?
MATH 3012 Finl Exm, My 4, 2006, WTT Stunt Nm n ID Numr 1. All our prts o this prolm r onrn with trnry strings o lngth n, i.., wors o lngth n with lttrs rom th lpht {0, 1, 2}.. How mny trnry wors o lngth
More informationBinomials and Pascal s Triangle
Binomils n Psl s Tringl Binomils n Psl s Tringl Curriulum R AC: 0, 0, 08 ACS: 00 www.mthltis.om Binomils n Psl s Tringl Bsis 0. Intif th prts of th polnomil: 8. (i) Th gr. Th gr is. (Sin is th highst
More informationSimilarity Search. The Binary Branch Distance. Nikolaus Augsten.
Similrity Srh Th Binry Brnh Distn Nikolus Augstn nikolus.ugstn@sg..t Dpt. of Computr Sins Univrsity of Slzurg http://rsrh.uni-slzurg.t Vrsion Jnury 11, 2017 Wintrsmstr 2016/2017 Augstn (Univ. Slzurg) Similrity
More informationSteinberg s Conjecture is false
Stinrg s Conjtur is als arxiv:1604.05108v2 [math.co] 19 Apr 2016 Vinnt Cohn-Aa Mihal Hig Danil Král Zhntao Li Estan Salgao Astrat Stinrg onjtur in 1976 that vry planar graph with no yls o lngth our or
More informationAnalysis for Balloon Modeling Structure based on Graph Theory
Anlysis for lloon Moling Strutur bs on Grph Thory Abstrt Mshiro Ur* Msshi Ym** Mmoru no** Shiny Miyzki** Tkmi Ysu* *Grut Shool of Informtion Sin, Ngoy Univrsity **Shool of Informtion Sin n Thnology, hukyo
More informationFigure XX.1.1 Plane truss structure
Truss Eements Formution. TRUSS ELEMENT.1 INTRODUTION ne truss struture is ste struture on the sis of tringe, s shown in Fig..1.1. The end of memer is pin juntion whih does not trnsmit moment. As for the
More informationCSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review
rmup CSE 7: AVL trs rmup: ht is n invrint? Mihl L Friy, Jn 9, 0 ht r th AVL tr invrints, xtly? Disuss with your nighor. AVL Trs: Invrints Intrlu: Exploring th ln invrint Cor i: xtr invrint to BSTs tht
More informationUsing the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas
SnNCutCnvs Using th Printl Stikr Funtion On-o--kin stikrs n sily rt y using your inkjt printr n th Dirt Cut untion o th SnNCut mhin. For inormtion on si oprtions o th SnNCutCnvs, rr to th Hlp. To viw th
More informationSeven-Segment Display Driver
7-Smnt Disply Drivr, Ron s in 7-Smnt Disply Drivr, Ron s in Prolm 62. 00 0 0 00 0000 000 00 000 0 000 00 0 00 00 0 0 0 000 00 0 00 BCD Diits in inry Dsin Drivr Loi 4 inputs, 7 outputs 7 mps, h with 6 on
More informationFinite Element Method FEM FOR FRAMES
Finit Ent Mthod FEM FOR FRAMES CONENS INROUCION FEM EQUAIONS FOR PLANAR FRAMES Equtions in oc coordint sst Equtions in gob coordint sst FEM EQUAIONS FOR SPAIAL FRAMES Equtions in oc coordint sst Equtions
More informationA PROPOSAL OF FE MODELING OF UNIDIRECTIONAL COMPOSITE CONSIDERING UNCERTAIN MICRO STRUCTURE
18 TH INTERNATIONAL CONFERENCE ON COMPOSITE MATERIALS A PROPOSAL OF FE MODELING OF UNIDIRECTIONAL COMPOSITE CONSIDERING UNCERTAIN MICRO STRUCTURE Y.Fujit 1*, T. Kurshii 1, H.Ymtsu 1, M. Zo 2 1 Dpt. o Mngmnt
More informationlearning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms
rp loritms lrnin ojtivs loritms your sotwr systm sotwr rwr lrn wt rps r in mtmtil trms lrn ow to rprsnt rps in omputrs lrn out typil rp loritms wy rps? intuitivly, rp is orm y vrtis n s twn vrtis rps r
More informationModule graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura
Moul grph.py CS 231 Nomi Nishimur 1 Introution Just lik th Python list n th Python itionry provi wys of storing, ssing, n moifying t, grph n viw s wy of storing, ssing, n moifying t. Bus Python os not
More informationMath 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4
Mt 166 WIR, Sprin 2012, Bnjmin urisp Mt 166 Wk in Rviw 2 Stions 1.1, 1.2, 1.3, & 1.4 1. S t pproprit rions in Vnn irm tt orrspon to o t ollowin sts. () (B ) B () ( ) B B () (B ) B 1 Mt 166 WIR, Sprin 2012,
More informationd e c b a d c b a d e c b a a c a d c c e b
FLAT PEYOTE STITCH Bin y mkin stoppr -- sw trou n pull it lon t tr until it is out 6 rom t n. Sw trou t in witout splittin t tr. You soul l to sli it up n own t tr ut it will sty in pl wn lt lon. Evn-Count
More informationGarnir Polynomial and their Properties
Univrsity of Cliforni, Dvis Dprtmnt of Mthmtis Grnir Polynomil n thir Proprtis Author: Yu Wng Suprvisor: Prof. Gorsky Eugny My 8, 07 Grnir Polynomil n thir Proprtis Yu Wng mil: uywng@uvis.u. In this ppr,
More informationROSEMOUNT 3051SAM SCALABLE PRESSURE TRANSMITTER COPLANAR FLANGE PROCESS CONNECTION
ROSOUNT 3051S S PRSSUR TRNSITTR OPNR N PROSS ONNTION RVISION T RVISION O NO. PP' T RT1066757 N. STOS 10/21/2016 SRIPTION IN-IN V S PNTW OUSIN SOWN WIT OPTION IIT ISPY (PRIRY) PNTW OUSIN (PRIRY) RTIITION
More informationC-201 Sheet Bar Measures 1 inch
Janine M. lexander, P.. P.. No. 9, L 0 N. PRK RO, SUIT 0 HOLLYWOO, LORI 0 PHON: (9) - X: (9) 08- No.: 9 I ST SRIPTION Y GT VLVS SHLL RSILINT ST, MNUTUR TO MT OR X TH RQUIRMNTS O WW 09 (LTST RVISION) N
More informationCS 491 G Combinatorial Optimization
CS 49 G Cobinatorial Optiization Lctur Nots Junhui Jia. Maiu Flow Probls Now lt us iscuss or tails on aiu low probls. Thor. A asibl low is aiu i an only i thr is no -augnting path. Proo: Lt P = A asibl
More informationPlatform Controls. 1-1 Joystick Controllers. Boom Up/Down Controller Adjustments
Ston 7 - Rpr Prours Srv Mnul - Son Eton Pltorm Controls 1-1 Joystk Controllrs Mntnn oystk ontrollrs t t propr sttns s ssntl to s mn oprton. Evry oystk ontrollr soul oprt smootly n prov proportonl sp ontrol
More informationExam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013
CS Avn Dt Struturs n Algorithms Exm Solution Jon Turnr //. ( points) Suppos you r givn grph G=(V,E) with g wights w() n minimum spnning tr T o G. Now, suppos nw g {u,v} is to G. Dsri (in wors) mtho or
More informationROSEMOUNT 3051S SCALABLE OR 3051SMV MULTIVARIABLE COPLANAR PRESSURE TRANSMITTER COPLANAR FLANGE PROCESS CONNECTION
1 2 3 4 5 6 7 8 ROSOUNT 3051S S OR 3051SV UTIVRI OPNR PRSSUR TRNSITTR OPNR N PROSS ONNTION RVISION T RVISION O NO. PP' T RT1071620 SRIPTION N NTNN NT STNR 2.4..TISON 10/25/18 PNTW OUSIN SOWN WIT OPTION
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationMA1506 Tutorial 2 Solutions. Question 1. (1a) 1 ) y x. e x. 1 exp (in general, Integrating factor is. ye dx. So ) (1b) e e. e c.
MA56 utorial Solutions Qustion a Intgrating fator is ln p p in gnral, multipl b p So b ln p p sin his kin is all a Brnoulli quation -- st Sin w fin Y, Y Y, Y Y p Qustion Dfin v / hn our quation is v μ
More informationSolutions for HW11. Exercise 34. (a) Use the recurrence relation t(g) = t(g e) + t(g/e) to count the number of spanning trees of v 1
Solutions for HW Exris. () Us th rurrn rltion t(g) = t(g ) + t(g/) to ount th numr of spnning trs of v v v u u u Rmmr to kp multipl gs!! First rrw G so tht non of th gs ross: v u v Rursing on = (v, u ):
More informationNefertiti. Echoes of. Regal components evoke visions of the past MULTIPLE STITCHES. designed by Helena Tang-Lim
MULTIPLE STITCHES Nrtiti Ehos o Rgl omponnts vok visions o th pst sign y Hln Tng-Lim Us vrity o stiths to rt this rgl yt wrl sign. Prt sping llows squr s to mk roun omponnts tht rp utiully. FCT-SC-030617-07
More informationClosed Monochromatic Bishops Tours
Cos Monoromt Bsops Tours Jo DMo Dprtmnt o Mtmts n Sttsts Knnsw Stt Unvrsty, Knnsw, Gor, 0, USA mo@nnsw.u My, 00 Astrt In ss, t sop s unqu s t s o to sn oor on t n wt or. Ts ms os tour n w t sop vsts vry
More informationTheorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices.
Cptr 11: Trs 11.1 - Introuton to Trs Dnton 1 (Tr). A tr s onnt unrt rp wt no sp ruts. Tor 1. An unrt rp s tr n ony tr s unqu sp pt twn ny two o ts vrts. Dnton 2. A root tr s tr n w on vrtx s n snt s t
More informationb.) v d =? Example 2 l = 50 m, D = 1.0 mm, E = 6 V, " = 1.72 #10 $8 % & m, and r = 0.5 % a.) R =? c.) V ab =? a.) R eq =?
xmpl : An 8-gug oppr wr hs nomnl mtr o. mm. Ths wr rrs onstnt urrnt o.67 A to W lmp. Th nsty o r ltrons s 8.5 x 8 ltrons pr u mtr. Fn th mgntu o. th urrnt nsty. th rt vloty xmpl D. mm,.67 A, n N 8.5" 8
More information0.1. Exercise 1: the distances between four points in a graph
Mth 707 Spring 2017 (Drij Grinrg): mitrm 3 pg 1 Mth 707 Spring 2017 (Drij Grinrg): mitrm 3 u: W, 3 My 2017, in lss or y mil (grinr@umn.u) or lss S th wsit or rlvnt mtril. Rsults provn in th nots, or in
More informationDUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski
Dut with Dimons Brlt DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Lsli Roglski Photo y Anrw Wirth Supruo DUETS TM from BSmith rt olor shifting fft tht mks your work tk on lif of its own s you mov! This
More informationLimits Indeterminate Forms and L Hospital s Rule
Limits Indtrmint Forms nd L Hospitl s Rul I Indtrmint Form o th Tp W hv prviousl studid its with th indtrmint orm s shown in th ollowin mpls: Empl : Empl : tn [Not: W us th ivn it ] Empl : 8 h 8 [Not:
More informationSIMPLE NONLINEAR GRAPHS
S i m p l e N o n l i n e r G r p h s SIMPLE NONLINEAR GRAPHS www.mthletis.om.u Simple SIMPLE Nonliner NONLINEAR Grphs GRAPHS Liner equtions hve the form = m+ where the power of (n ) is lws. The re lle
More informationMathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics)
Mh Lr # In-l Workh Vor n Mri (Bi) h n o hi lr, o hol l o: r mri n or in Mh i mri prorm i mri mh oprion ol m o linr qion ing mri mh. Cring Mri Thr r rl o r mri. Th "Inr Mri" Wino (M) B K Poin Rr o
More informationS i m p l i f y i n g A l g e b r a SIMPLIFYING ALGEBRA.
S i m p l i y i n g A l g r SIMPLIFYING ALGEBRA www.mthltis.o.nz Simpliying SIMPLIFYING Algr ALGEBRA Algr is mthmtis with mor thn just numrs. Numrs hv ix vlu, ut lgr introus vrils whos vlus n hng. Ths
More information5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees
/1/018 W usully no strns y ssnn -lnt os to ll rtrs n t lpt (or mpl, 8-t on n ASCII). Howvr, rnt rtrs our wt rnt rquns, w n sv mmory n ru trnsmttl tm y usn vrl-lnt non. T s to ssn sortr os to rtrs tt our
More informationProblem solving by search
Prolm solving y srh Tomáš voo Dprtmnt o Cyrntis, Vision or Roots n Autonomous ystms Mrh 5, 208 / 3 Outlin rh prolm. tt sp grphs. rh trs. trtgis, whih tr rnhs to hoos? trtgy/algorithm proprtis? Progrmming
More informationData Structures LECTURE 10. Huffman coding. Example. Coding: problem definition
Dt Strutures, Spring 24 L. Joskowiz Dt Strutures LEURE Humn oing Motivtion Uniquel eipherle oes Prei oes Humn oe onstrution Etensions n pplitions hpter 6.3 pp 385 392 in tetook Motivtion Suppose we wnt
More informationTable of C on t en t s Global Campus 21 in N umbe r s R e g ional Capac it y D e v e lopme nt in E-L e ar ning Structure a n d C o m p o n en ts R ea
G Blended L ea r ni ng P r o g r a m R eg i o na l C a p a c i t y D ev elo p m ent i n E -L ea r ni ng H R K C r o s s o r d e r u c a t i o n a n d v e l o p m e n t C o p e r a t i o n 3 0 6 0 7 0 5
More informationLogarithms. Secondary Mathematics 3 Page 164 Jordan School District
Logarithms Sondary Mathmatis Pag 6 Jordan Shool Distrit Unit Clustr 6 (F.LE. and F.BF.): Logarithms Clustr 6: Logarithms.6 For ponntial modls, prss as a arithm th solution to a and d ar numrs and th as
More information6202R. between SKY and GROUND. Statement sidewalk
twn SKY n GROUND Sttmnt siwlk wlkwy onnting rivrsi puli zons grnlin Lirris n musums in our tim r not only rsrv rtifts n ooks ut offr iffrnt vnts to visitors, host utionl n ivi progrms, nsur flxil sps for
More informationOpenMx Matrices and Operators
OpnMx Mtris n Oprtors Sr Mln Mtris: t uilin loks Mny typs? Dnots r lmnt mxmtrix( typ= Zro", nrow=, nol=, nm="" ) mxmtrix( typ= Unit", nrow=, nol=, nm="" ) mxmtrix( typ= Int", nrow=, nol=, nm="" ) mxmtrix(
More information9 Kinetic Theory of Gases
Contnt 9 Kintic hory of Gass By Liw Sau oh 9. Ial gas quation 9. rssur of a gas 9. Molcular kintic nrgy 9.4 h r..s. sp of olculs 9.5 Dgrs of fro an law of quipartition of nrgy 9.6 Intrnal nrgy of an ial
More informationPolygons POLYGONS.
Polgons PLYGNS www.mthltis.o.uk ow os it work? Solutions Polgons Pg qustions Polgons Polgon Not polgon Polgon Not polgon Polgon Not polgon Polgon Not polgon f g h Polgon Not polgon Polgon Not polgon Polgon
More informationExtension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem
Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst
More informationJournal of Solid Mechanics and Materials Engineering
n Mtrils Enginring Strss ntnsit tor of n ntrf Crk in Bon Plt unr Uni-Axil Tnsion No-Aki NODA, Yu ZHANG, Xin LAN, Ysushi TAKASE n Kzuhiro ODA Dprtmnt of Mhnil n Control Enginring, Kushu nstitut of Thnolog,
More informationIn order to learn which questions have been answered correctly: 1. Print these pages. 2. Answer the questions.
Crystl Rports for Visul Stuio.NET In orr to lrn whih qustions hv n nswr orrtly: 1. Print ths pgs. 2. Answr th qustions. 3. Sn this ssssmnt with th nswrs vi:. FAX to (212) 967-3498. Or. Mil th nswrs to
More information5/7/13. Part 10. Graphs. Theorem Theorem Graphs Describing Precedence. Outline. Theorem 10-1: The Handshaking Theorem
Thorm 10-1: Th Hnshkin Thorm Lt G=(V,E) n unirt rph. Thn Prt 10. Grphs CS 200 Alorithms n Dt Struturs v V (v) = 2 E How mny s r thr in rph with 10 vrtis h of r six? 10 * 6 /2= 30 1 Thorm 10-2 An unirt
More information24CKT POLARIZATION OPTIONS SHOWN BELOW ARE REPRESENTATIVE FOR 16 AND 20CKT
0 NOTS: VI UNSS OTRWIS SPII IRUIT SMT USR R PORIZTION OPTION IRUIT SMT USR R PORIZTION OPTION IRUIT SMT USR R PORIZTION OPTION. NR: a. PPITION SPIITION S: S--00 b. PROUT SPIITION S: PS--00 c. PIN SPIITION
More informationAquauno Video 6 Plus Page 1
Connt th timr to th tp. Aquuno Vio 6 Plus Pg 1 Usr mnul 3 lik! For Aquuno Vio 6 (p/n): 8456 For Aquuno Vio 6 Plus (p/n): 8413 Opn th timr unit y prssing th two uttons on th sis, n fit 9V lklin ttry. Whn
More information