Determination of tensile crack bridging of PCM-concrete interface subjected to fatigue loading by means of bending test

Size: px
Start display at page:

Download "Determination of tensile crack bridging of PCM-concrete interface subjected to fatigue loading by means of bending test"

Transcription

1 Journl of Struturl nginring Vol.55A Mrh 9 JSC Dtrmintion of tnsil rk briging of -onrt intrf subjt to ftigu loing by mns of bning tst Di Zhng *, Hitoshi Furuuhi **, Akihiro Hori ***, Fujim Siji ****, Tmon U ***** * Lb of nginring for Mintnn Systm, Division of Built nvironmnt, Hokkio Univrsity, M.. **Lb of nginring for Mintnn Systm, Division of Built nvironmnt, Hokkio Univrsity, Dr.. *** Spil Aitivs Dpt., DKA Chmils GmbH, Sls Mngr, Dr.. **** Hrlo Proution & Thnil Support Stion, Dnki Kgku Kogyo CO..Lt., Assistnt Mngr. *****Lb of nginring for Mintnn Systm, Division of Built nvironmnt, Hokkio Univrsity, Dr.. In this ppr, simpl n hny tst mtho for trmintion of th tnsil rk briging l of -onrt intrf is propos. Bs on th ftigu filur mhnism of -onrt intrf tht is govrn by rk propgtion s th rsult of intrf briging grtion, th J-intgrl mtho propos for trmining th tnsion softning rltion of onrt unr stti loing is moifi to trmin th -onrt intrf tnsil strss grtion rltion. Th riv grtion rltion is ompr to tht of norml onrt unr yli unixil tnsil tsts, n it n b foun tht th -onrt intrf hs highr grtion rt so tht mor ttntion shoul b pi to th -onrt intrf uring th sign of rtrofitt struturs unr ftigu loing. Kyors: -onrt intrf, Ftigu bning tst, strss grtion l, nrgy quivln. BACKGROUD Polymr mnt mortr ovrly mtho rtrofitting mtho is us to inrs th lo pity n nvironmntl rsistn of brig ks. In light of th k bon strngth of norml mnt bs mtrils, offrs goo ompromis in trms of ost n bhvior. Th rtrofitt highy or brig k r xpt to rsist millions of yls of rpt xl los from pssing trffi uring thir srvi lif. Subsquntly, bs rpirs hv somtims pos problm u to thir boning. Dboning n strt from ny isontinuity bounry, joints or rk utting th ovrly, oftn ith lifting of th gs of th bon r. This inus n rks hih lrt th mg pross, n n rpir ork is n. As rsult, thr is inrsing intrst in bttr knolg to prit th bhvior of -onrt intrf unr yli loing n to fin solutions to nsur thir urbility. Although thr r mny stuis rporting th improvmnt in th mhnil proprtis of n th filur mhnism of thm unr stti n yli loing onitions r prsnt, thr hv bn f stuis rlt to -onrt intrf proprtis n filur mhnisms unr ftigu loing onition. Ftigu lif prition n th sign of rpir struturs n so fr only b prform through n mpiril pproh. Th invstigtions on th ftigu proprtis n filur mhnisms of -onrt intrf r nssry for proposing propr rpir mtho. This ls to th nssity of th vlopmnt of n nlytil tool tht is pplibl to th prition of intrf ftigu prformn n to th sign of struturl rpirs in th futur. Vrious pprohs hv bn us in th ftigu lif ssssmnt of struturl lmnts. A ily pt pproh for nginring prti is bs on mpirilly riv S- igrms, lso knon s Wöhlr urvs. This pproh provis rltion btn mximum strss or strss mplitu n th numbr of lo yls to filur. Hovr, it os not llo us to srib th softning bhvior of mtril bus of th ppli for ontrol, hih onsquntly ls to unstbl rk propgtion. Th formtion ontroll unixil tnsil tst on noth onrt prism is mor irt y to invstigt th mtril proprty unr yli loing onition. Hovr, suh tst prour rquirs vry spifi n pris y to rry out in omprison ith bning tst, hih is normlly ppli to provi t for th vrifition of th mtril l. Rntly, ftigu nlysis mtho ombining th briging strss grtion l unr yli lo n FM nlysis is ris by Prpong t l 3. In this mtho, th S- rltion from th bning tsts is introu ith th ftigu nlysis mol to trmin th ftigu briging strss grtion -86-

2 rltion n th volution of mi-spn fltion is slt for th vrifition. Th xprimnts r sir to b onut but th nlysis prour my tk tim. Strting ith th J-intgrl bs mtho by Li t l 4, sris of mthos bs on nrgy bln hv bn propos for trmining th tnsion softning urv of onrt: th n J-intgrl bs mtho 5, th moifi J-intgrl mtho 6, n n mtho propos by i 7. By using J-intgrl mtho, th tnsion softning igrms n b trmin from singl bm spimn. Only th lo, th lo point isplmnt n th rk opning t th noth tip r nssry to b msur. It hs bn prov tht th J-intgrl mtho is pplibl to stti tnsion softning rltion of onrt intrf. In this stuy, th J-intgrl mtho bs on lo ontroll bning tsts togthr ith briging grtion thory r introu to trmin th briging strss grtion rltion of -onrt intrf.. FATIGU MODL. Mhnism of ftigu rk groth in onrt intrf For -onrt ol-joint intrf, th mtril phss n broly b lssifi s mnt in onrt or pst n ggrgts, s ll s th intrfs btn ggrgt n hyrt mnt pst. Th ftigu loing uss ths physil phss to unrgo mirosopi hngs, suh s opning n groth of bon rks, hih xist t th intrfs btn ors ggrgt n hyrt mnt pst vn prior to th pplition of lo 8. Ths mirosopi hngs in turn us trimntl hngs in mrosopi mtril proprtis. Typilly, th ggrgt briging for rss ith numbr of yls bus of th intrfil mg or ggrgt brkg 9. Subsquntly, th rk propgts both by inrsing lngth n ith ith th inrs of ppli loing yls until th quilibrium nnot b stisfi ith furthr rk propgtion. At this momnt, th strutur fils, n it fins th ftigu lif. This mhnism is so ll Briging Strss Dgrtion n th -onrt intrf grtion l is onsir th ssntil us of rk propgtion n ns to b lrifi. Bs on th bov isussions, som bsi ssumptions for ftigu moling n b stt:. Aftr ominnt ftigu rk is rt, th briging bhvior ithin th frtur zon is govrning th rt of ftigu rk vlopmnt.. Th strss t th rk tip rmins onstnt n is qul to th mtril tnsil strngth. 3. Mtril proprtis outsi th frtur zon r unhng uring ftigu loing. Th J-intgrl mtho ombins th fititious rk mol propos by Hillrborg ith nrgy quivln ssumptions n hs bn ppli to stti nlysis prours. In th vlopmnt of th ftigu nlysis mtho, th filur of orinry mntitious mtrils, suh s plin onrt n -onrt intrf, unr ftigu flxur or ftigu tnsion is govrn by th initition n th propgtion of singl loliz rk; thrfor, th fititious rk is pproprit n nough for rprsnting th rk n th filur mhnism. In orr to orrlt th J-intgrl mtho n ftigu nlysis through nrgy quivln onpts n to prit th rk vlopmnt in -onrt intrf, th folloing itionl ssumptions my b not: 4. Th nrgy ppli for th inrmnt of fltion t loing point is totlly bsorb for th fititious rk propgtion synhronously. 5. Th rk propgtion unr ftigu loing is rgr s slo rk propgtion unr stti loing. Only th nrgy ppli uring th fltion inrmnt orrsponing to th inrmnts of rk lngth n ith is tkn into ount, ignoring th nrgy orrsponing to th ovrlpp prt btn jnt hystrti loops s Fig... Briging mol of -onrt intrf unr tnsion ftigu Monotoni tnsion Th roughnss of th joint surf, th mix proportions of substrt onrt n th onstrution mtho r th min ftors ffting th bon proprtis of -onrt intrf. In th prsnt invstigtion, n mpiril mol bs on th J-intgrl mtho propos by Zhng ill b opt. In this mol th -onrt intrf tnsion softning rltion is xprss s funtion of th intrf roughnss, substrt onrt omprssiv strngth n th rk mouth opning isplmnt CMOD bs on th nlysis of xprimntl t. 3 { }xp f ti.46 fi f ' 5.4G f ti 9.4R.3R fi.5mm 4.74R G mm.8.8 if f' if f' < f' f' 3 xp hr f ti is intrf splitting tnsil strngth, R is th intrf roughnss lult bs on JIS Stnr, is tkn s 6.93 n is funtion of R, orrspons to th rk opning hn th strss hs ropp to zro, G fi is th intrfil frtur nrgy xprss s funtion of omprssiv strngth of n intrf roughnss. -86-

3 st. n st n b. n st n Cyli tnsion Dgrtion of ggrgt briging of onrt unr yli unixil tnsion hs bn stui by rsrhrs in lst to s 9, 5, 6, 7. By nlyzing th xprimntl t, it is onlu tht th briging strss grtion rltion of mntitious mtrils pns on to min prmtrs orrsponing to mximum rk opning s th mximum rk ith orrsponing to th zro lo, n numbr of yls,. It n b xprss s: for k k for k k k k log log < log. n Fig. Prour of ftigu rk nlysis hr n rprsnt briging strss t -th yl n first yl, rsptivly. is givn by q.; n k n k r grtion ftors, hih rflts th rt of ggrgt briging grtion. 3. PROCDUR OF FATIGU AALYSIS Th prour of ftigu lif nlysis is shon by simpl support omposit bm subjt to ftigu lo. For givn mximum n minimum flxurl ftigu lo lvl, P mx n P min, uring th loing pross in th first yl, rk initits ith mximum lngth mx n ith mx, n th fltion xprins th mximum vlu mx s shon in Fig.. Th briging l ithout strss grtion togthr ith numril intgrtion mtho n b us to lult th unit nrgy onsumption of fititious rk s:

4 During th unloing pross, prt of th xtrnl nrgy umult in othr portions bsis th fititious rk ill b rls n thr is rsiul fltion min in th fully unlo stt. Thrfor, to proprly vlut th nrgy onsum in th fititious rk, th mount of lsti nrgy rls must b xlu. Th nrgy ppli for th fititious rk inrsing from zro to ith mx uring th first yl is lult s: min mx P 4 hih quls to th r S of th hystrti loop of first yl s shon in Fig.. Whn th rk xprins th son yl of lo, th trnsfrr strss ross th rk rus u to th triortion of mtril onstitunt on th rk pln. Th quilibrium n not b mintin ith th gr briging strss istribution of th rk r hn CMOD rhs mx. Thrfor, th xisting rk propgts ith itionl lngth to mx n itionl ith to mx, n th fltion inrss from mx to mx. Th briging ls ith n ill b us in th ol frtur zon n th nly vlop frtur zon, rsptivly. Th unit nrgy onsumption of ol frtur rk zon n b xprss s: 5 Th nrgy onsum for th CMOD inrsing from mx to mx is lult s: Δ min min P P 6 hih rprsnts th r S s shon in Fig.b. At this stg, th totl nrgy onsum for CMOD inrsing from zro to mx is lult s mx mx Δ 7 hih is qul to umultion r of S n S. Th prour ill b ontinu ith th xtnsion of rk pros until th lo pity strts to rop ith inrsing rk lngth. At this stg, th omposit bm is onsir to hv fil in ftigu. Aoring to this prour, for th -th lo yl, th frtur history zon ill b ivi into stions ith iffrnt ftigu history, rnging from to yls. Th totl nrgy onsum for CMOD inrsing from zro to mx orrspons to th r nlos by nvlop urvs of lo-formtion igrm n th unloing urv of lst yl ith horizontl oorint xis. Th unit nrgy onsumption of fititious rk uring this pross n b xprss s:... 8 hr,,.. - rprsnt th history of rk ith t h yl. As init in Fig.., hn th fititious rk lngth is n th fititious CMOD is y, th folloing rltion n b obtin. y y y / / 9 Thn, th nrgy hih is onsum in this portion ftr yls of lo n b lult s follos: y y y b... b... b... From q., th folloing rltionship n b riv... b -864-

5 Thn furthr onuting th first n son orr rivtiv in both si of q., th folloing to qutions n b riv rsptivly:... ' b... b 3 hr i n i i,.. rprsnt unit nrgy onsumption n briging strss of fititious rk stion hih xprins ftigu lo for i yls, sprtly. If furthr ssumption is m tht t ny quilibrium stt, th strss vlu t th point of intrstion btn h stion is ontinuously istribut, hih mns tht th folloing rltion is obtin: i i for i,,.. 4 Thn finlly th qution n b rrng s: 5 b hr b is th ith of omposit bm. Substitut th q. into q. 5. Th fititious rk lngth i, rk mouth opning isplmnt CMOD n nrgy ppli by xtrnl lo i i,.. ftr i yls of lo n b obtin from xprimnt obsrvtion. Th vlus of prmtr k n k oul obtin bs on t fitting. 4. XPRIMTAL OVRVIW 4. Mtrils n spimns Th / rtio n strngth proprtis of onrt n us in this stuy n b foun in Tbl.. Th us in this stuy is prmix PA polyrylt i str por rsin n vlop s splying mortr for rpiring of ross stion of struturs. It hs hrtristis of high nsity, high bon strngth n lo ontrtion. Th omprison of urbility Mtril Tbl. Mtril Proprtis Wtr Comprssiv mnt strngth rtio MP Young s Moulus GP Conrt 63% %* *th vlu of /ompoun Tbl. Comprison of Durbility btn n orml Mortr Durbility Mortr W/C5% xmintion W/ompoun3.4% Rltiv ynmi Rltiv ynmi Frzing lsti Moulus lsti Moulus n f86.4% 3 f98.5% 3 Thing yl yl Crbontion Dry shrinkg Chlori ion pntrtion pth Crbont thiknss 7.4mm 8 ys mm 8 ys Crbont thiknss.7 mm8 ys mm 8 ys bhviors btn n norml mortr is shon in Tbl.. Th onrt substrts surfs r trt by tr jt WJ mtho. Spil ttntion s pi to provi qut moistur on th substrt onrt surf. Th substrt onrt s pl in tr for 48hrs n fr tr s rmov bfor sting. Th onnt intrf is sprt ith oon tringulr prism to inu th noth n th g of spimn t tsting is t lst thr months so s to llvit th fft of initil hyrtion vlopmnt. 4.. Apprtus n tst prour Splitting tnsil tst Th splitting tnsil tst is us orli to msur th tnsil strngth of onrt. It s first propos by Lobo Crniro n Brllos uring th Fifth Confrn of th Brzilin Assoition for Stnriztion in n s ltr opt s stnr tst. Rmy n Strikln 4 us th ASTM C496 stnr tst mtho s gnrl gui n vlop splitting tst for omposit ylinrs, onstrut ith on-hlf onrt n on-hlf rpir mtril. Thir tst sho tht th ylinril splitting tnsil gv onsistnt rsults. In this stuy, splitting tnsil tst s shon in Fig. s onut to vlut th tnsil strngth of th onrt intrf. To prvnt lol filur in omprssion t th loing gnrtors, to thin strips m of plyoo r pl btn th loing pltns n th spimn to istribut th lo. A noth ith siz of.75 x m t h si is inu uring th sting prour. Th ontt r btn th onrt substrt n th is -865-

6 oth x x lngth x ith x pth P Conrt P 7 Fig. Splitting tnsil tst stup unit:mm 5.5 m. Th mximum tnsil strss n b lult by th folloing qution: P mx 6 πa hr mx is th mximum tnsil strngth in th spimn hn th ppli lo is P, A is th r of ontting surf. Thr point bning tst Th 5k pity f bk ontroll loing mhin is mploy in this stuy. For stti tst, th tsts r rri out unr isplmnt ontrol onition n th loing sp s.mm/min. hil th ftigu tsts r unr lo ontrol onition. Thr point ftigu bning tsts r onut both unr stti loing n ftigu loing. Th til of xprimnt st-up of stti tst n b foun in th rfrn 8. Th xprimntl st-up of ftigu tst is shon in Fig. 3. Stti flxur tsts r onut bfor ftigu flxur tsts to trmin th stti flxur strngth. Bs on th vrg flxur strngth, th mximum ftigu strss r trmin for h lvl. Sin tst t of h yl is us s input, th tim n lultion ffiint option is to hoos highr vlu of strss lvl. In this stuy, to lvls of S mx.9 n S mx.85, ith on spimn for h lvl, hih th ftigu lif r only in hunrs, r onut. Ftigu loing s ontroll ith onstnt mplitu btn mximum n minimum lo lvls. A frquny of 5 Hz s hosn ith sin v form. Th vlu of.5k orrsponing to th prlo s hosn for th minimum lo in orr to voi ny slip of spimns tht n our unr totl unloing in th ftigu tst. 4.3 Dt olltion For ftigu loing tst, Linr Vribl Diffrntil Trnsurs LVDTs r introu to msur th fltion t th mi-spn of spimns from both sis of Lo Cll Disp. trnsur π Gg For lo ll For π Ggs n LVDTs Conrt For strin ggs A/D hngr bor PC 36 Oil ylinr Whtston brig Amplifir Con strin gug st-up Fig.3 Tst st-up of ftigu bning tst unit: mm

7 Tbl.3 Strngth of Stti Loing Tst Sris 3 Avrg Flxurl Strngth MP Tnsil Strngth MP spimns. To obtin th CMOD s ll s rk propgtion pross t th lst filur yl, four on irtionl π gugs ith ury of.mm r rrng ith th sm istn from th position of noth tip to th top of omposit bm. To vlut th propgtion of th fititious rk in th ligmnt portion, th longituinl strin istribution of th noth bm s msur. Strin gugs ith lngth of 5mm r provi long th ligmnt portion. For th purpos of obtining s mny msur t s possibl to vlut th fititious rk propgtion, svn strin gugs r pl on th ligmnt portion. h strin gug s st mm prt s shon in Fig.3. Th Hz smpling systm ADRC onsisting of Whtston brig, mplifir, A/D hngr bor n prsonl omputr s us for roring th t. smpls oul b msur for son by using this systm. Th st-up of this systm is shmtilly shon in Fig XPRIMTAL RSULTS AD AALYSIS Th xprimntl rsults unr both stti n ftigu loing r illustrt n isuss in this stion. 5.. Rsults unr stti loing Th rltion btn lo n mi-spn fltion of thr stti spimns of omposit bm r shon in Fig. 4. Th ultimt tnsil strngth n flxurl strngth of omposit spimns is shon in Tbl 3. Th vrg Lo K F-LS-3 F-LS- F-LS-.5.5 Dfltion. mm Fig.4 Lo-fltion rltion unr stti loing flxurl strngth is us to trmin th ftigu strss in th ftigu tst. 5.. Rsults unr ftigu loing Ftigu tst rsults r us for trmining th briging strss grtion rltion. In th lulting prour, svrl ssntil mtril rltions, th onstitutiv rltion unr stti loing, th nrgy ppli by xtrnl lo n th vlopmnt of fititious rk n ntrl fltion bs on xprimntl rsults, r introu s input in th qution. Dmg hrtristis Th progrssiv ftigu filur is srib by illustrtion of inrs in CMOD ginst th numbr of yls s shon in Fig. 5. It n b sn tht th filur hrtristis of onrt intrf is similr to thos of mntitious mtril lik onrt n n b ivi into to istint stgs. Th first stg is th lrtion stg, hr th rt of mg of spimn rss s th rk gros t smll numbr of loing yls. Th son stg is n lrtion stg, hr thr is sty inrs in th rk groth rt right up to filur. On rtin gr, th filur hrtristis of.35 3 Crk ith mm Smx.9 Smx.85 Lo K umbr of Lo yl Fig.5 Crk volution urv.5..5 Cntrl fltion mm Fig.6 Lo-Dfltion rltion unr ftigu loing S mx

8 Crk lngth mm Tnsil strss MP from q. Smx.9 Smx.85 nrgy Consum *m Crk CMOD ith mm mm Fig.7 Crk lngth n CMOD rltion Smx Crk ith mm Fig.8 CMOD mm CMOD rltionship S mx.9 -onrt intrf obsrv in this tst furthr monstrts th vliity of ssumption tht onrt intrf prforms lik mntitious mtrils. Lo-fltion urvs Fig.6 xhibits typil lo-fltion urv until totl filur of spimn s obtin from flxurl ftigu tst. It n b noti tht by using ADRC systm, th lo-fltion rltion of h yl n b ror. 3 Fititious rk propgtion Th rk opning lult from th output from svn strin gugs ispos t th ligmnt portion is ssum to b fititious CMOD. Th tip of fititious rk t mximum lo of h yl orrspons to th point t hih th strin is zro n th lngth of fititious rk n b obtin n plott ginst CMOD in Fig Implmnttion n Disussion In this stion, th briging grtion l is lult using th prour of ftigu nlysis isuss in Chptr 3. Th lultion prour onsists of to stgs: In th first stg, th lultion of th nrgy ppli by th xtrnl lo ftr rtin numbr of yls of ftigu loing is prform. Th rsult is shon in Fig.8. Tnsil strss MP Crk CMOD ith mm mm Fig.9 Tnsil strss-cmod rltionship Smx.9 Smx umbr of Lo yl Fig. Strss-umbr of yl rltion In orr to voi th influn of t flutution, th rltion btn nrgy onsum n CMOD is firstly rprsnt by mthmtil xprssion bs on t fitting mtho. Thn th first orr n son orr rivtiv lultion is onut togthr ith input of fititious CMOD n lngth obtin from tst rsults to trmin th vlu on th right si of q.5. Th lultion rsult is plott ginst CMOD n numbr of loing yls in Fig.9 n Fig. rsptivly. It n b sn from Fig. 9 tht for th sm CMOD, th tnsil strss hn Smx.85 is smllr thn tnsil strss hn Smx.9. This is bus it xprins mor lo yls to rh th sm CMOD n subsquntly hs mor strss grtion. In th son stg, th briging grtion l s shon in q. is substitut into lft si of q.5 n th vlu of k n k n b obtin through to-prmtr nonlinr fitting mtho. Th finl grtion rltion riv from ombin t of to strss lvls for -onrt intrf is shon blo: log for.6mm..log for >.6mm

9 In orr to ompr th strss grtion rltion btn norml onrt n -onrt intrf, th strss grtion rltion of onrt obtin by yli unixil tnsil tsts 7 is quot in this stuy n xprss s follos:.8 4log for.6mm.4.log for >.6mm 8 It is noti tht th offiint k n k in th grtion l of -onrt intrf r similr to tht of norml onrt hn rk ith is smllr thn.6mm, hil k for -onrt intrf is lrgr thn for norml onrt hn rk ith is lrgr thn.6mm. This implis tht -onrt intrf xhibits th highr rt of briging strss grtion thn tht of ggrgt briging in norml onrt, n shoul b rgr s th ky issu of rtrofitt struturs spilly subjt to ftigu loing. 6. COCLUSIOS A ftigu nlysis mtho of -onrt omposit bm unr ftigu flxur hs bn propos by pplying th onpt of briging fft grtion n fititious rk bs on thory of nrgy quivln. Th nlytil mtho hs bn vlop bs on th ftigu filur mhnism of -onrt intrf tht is govrn by rk propgtion s th rsult of intrf briging grtion. Th J-intgrl mtho propos for trmining th tnsion softning rltion of onrt unr stti loing is moifi to trmin th -onrt intrf tnsil strss grtion rltion. This mtho hs th folloing fturs: Thortilly spking, th tnsil strss grtion rltion n b trmin from singl bm spimn. Only th lo, th lo point isplmnt, th rk lngth n opning ith r nssry to b msur or trmin. Mnhil, th ftigu bning tst is sir to b prform thn th unixil tnsil ftigu tst. 3 Th mtho propos in this stuy n b us for othr mntitious mtrils or omposit intrfs s long s th thory of fititious rk n nrgy quivln r tnbl. 4 Th -onrt intrf strss grtion rltion s obtin bs on th mtho mntion bov n ompr ith tht of rk in norml onrt. It n b foun tht th -onrt intrf hs highr grtion rt so tht mor ttntion shoul b pi to th -onrt intrf uring th sign of -rtrofitt struturs unr ftigu loing. ACKOWLDGMT Th surf WJ trtmnt ork srib in this ppr s rri out t Hokusi Knstsu Co.Lt. Th uthors r grtful to thir ollbortion. RFRCS Trn, Q. T., Toumi, A. n Turtsinz, A., Molling of boning btn ol onrt n ovrly: ftigu loing n ly ffts, Mtrils n Struturs, DOI.67/s y. Ohm, Y., Rnt progrss in Conrt-Polymr omposits, Avn Cmnt Bs Mtrils, Vol.5, o., pp. 3-4, Prpong, S. n Tkshi, M., Fibr briging grtion bs ftigu nlysis of CC unr flxur, Journl of Appli Mhnis Vol.6 pp August 3. 4 Li, V.C. n Wr, R.J.:, A novl tsting thniqu for post-pk tnsil bhvior of mntitious mtrils, Frtur Toughnss n Frtur nrgy, Blkm, 83-95, Rokugo, K., Is, M., Sko, S. n Koyngi, W., Tnsion softning igrms of stl fibr rinfor onrt, Frtur of Conrt n Rok, lsvir, 53-5, Uhi, Y., Rokugo, K. n Koyngi, W., Dtrmintion of tnsion softning igrms of onrt by mns of bning tst. Journl of Mtrils, Conrt Struturs n Pvmnts of JSC, o.46/v-4, 3-, i, J.,Sumrnnih n Tntrmisirikul, S.: Mtho to Dtrmin th Tnsion Softning Curv of Conrt, Frtur Mhnis of Conrt Struturs. Proings of FRAMCOS-3, Vol., , vill, A. M, n Brooks, J.J, Conrt thnology, Longmn Sintifi & Thnil, Lonon. 9 Zhng, J., Stng, H., n Li, V.C, xprimntl stuy on rk briging in FRC unr unixil ftigu tnsion, J. Mt. In Civ. ngrg., ASC,, 66-73, Fbrury. Hillrborg, A., Mor, M. n Ptrsson, P Anlysis of rk formtion n rk groth in onrt by mns of frtur mhnis n finit lmnts, Cmnt n Conrt Rsrh, Vol.6. pp , 976. Di, Z., Furuuhi, H., Hori, A., Fujim, S. n U, T., Influn of intrf roughnss on -onrt intrfil frtur prmtrs, Proings of th thir ACF Intrntionl Confrn, -3 ovmbr 8, HCM City. JIS B 6:Gomtril Prout Spifitions GPS - Surf txtur: Profil mtho- Trms, Dfinitions n surf txtur prmtrs, JIS,. 3 Lobo Crniro, F. Brllos, A., Rsistn l Trtion s Btons, Int. Asso. Tst. Rs. Lb. Mtr. Strut. RILM Bull Rmy, G.., Strikln, A.M., An xprimntl vlution of rpi stting pthing mtrils us in th rpir of onrt brigs n pvmnts, Albm -869-

10 Highy Rsrh, Projt 93-3, Prt II, 984, pp Goplrtnm, V.S., n Shh, S.P., Softning rspons of plin onrt in irt tnsion. ACI J., 83, Rinhrt, H. W., Cornlissn, A. W., n Horijk, D.A., Tnsil tsts n filur nlysis of onrt, J, Strut. ngrg., ASC,, Horijk, D.A., Tnsil n tnsil ftigu bhviour of onrt, xprimnts, moling n nlyss, Hron, 37,- 77,99. 8 Di, Z., Furuuhi, H., Hori, A. n U, T., Mo I Frtur Bhviors of -onrt Intrfs, Proings of JCI, Vol.3, o.,

A PROPOSAL OF FE MODELING OF UNIDIRECTIONAL COMPOSITE CONSIDERING UNCERTAIN MICRO STRUCTURE

A 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 information

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.

Why 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 information

Garnir Polynomial and their Properties

Garnir 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 information

Journal of Solid Mechanics and Materials Engineering

Journal 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 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

(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 information

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

, 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 information

EE1000 Project 4 Digital Volt Meter

EE1000 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 information

1 Introduction to Modulo 7 Arithmetic

1 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 information

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review

CSE 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 information

12. Traffic engineering

12. 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 information

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

Module 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 information

Analysis for Balloon Modeling Structure based on Graph Theory

Analysis 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 information

Constructive Geometric Constraint Solving

Constructive 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

Present state Next state Q + M N

Present 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 information

CSC Design and Analysis of Algorithms. Example: Change-Making Problem

CSC 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 information

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018 CSE 373: Mor on grphs; DFS n BFS Mihl L Wnsy, F 14, 2018 1 Wrmup Wrmup: Disuss with your nighor: Rmin your nighor: wht is simpl grph? Suppos w hv simpl, irt grph with x nos. Wht is th mximum numr of gs

More information

Module 2 Motion Instructions

Module 2 Motion Instructions Moul 2 Motion Instrutions CAUTION: Bor you strt this xprimnt, unrstn tht you r xpt to ollow irtions EXPLICITLY! Tk your tim n r th irtions or h stp n or h prt o th xprimnt. You will rquir to ntr t in prtiulr

More information

CS61B Lecture #33. Administrivia: Autograder will run this evening. Today s Readings: Graph Structures: DSIJ, Chapter 12

CS61B Lecture #33. Administrivia: Autograder will run this evening. Today s Readings: Graph Structures: DSIJ, Chapter 12 Aministrivi: CS61B Ltur #33 Autogrr will run this vning. Toy s Rings: Grph Struturs: DSIJ, Chptr 12 Lst moifi: W Nov 8 00:39:28 2017 CS61B: Ltur #33 1 Why Grphs? For xprssing non-hirrhilly rlt itms Exmpls:

More information

Similarity Search. The Binary Branch Distance. Nikolaus Augsten.

Similarity 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 information

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.

Page 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 information

An undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V

An 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 information

WORKSHOP 6 BRIDGE TRUSS

WORKSHOP 6 BRIDGE TRUSS WORKSHOP 6 BRIDGE TRUSS WS6-2 Workshop Ojtivs Lrn to msh lin gomtry to gnrt CBAR lmnts Bom fmilir with stting up th CBAR orinttion vtor n stion proprtis Lrn to st up multipl lo ss Lrn to viw th iffrnt

More information

Designing A Concrete Arch Bridge

Designing 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 information

QUESTIONS BEGIN HERE!

QUESTIONS BEGIN HERE! Points miss: Stunt's Nm: Totl sor: /100 points Est Tnnss Stt Univrsity Dprtmnt of Computr n Informtion Sins CSCI 710 (Trnoff) Disrt Struturs TEST for Fll Smstr, 00 R this for strtin! This tst is los ook

More information

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs.

Paths. 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 information

Planar Upward Drawings

Planar 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 information

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.

Math 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 information

b. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s?

b. 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 information

HIGHER ORDER DIFFERENTIAL EQUATIONS

HIGHER 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 information

Exam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013

Exam 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 information

Algorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph

Algorithmic 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 information

Graphs. CSC 1300 Discrete Structures Villanova University. Villanova CSC Dr Papalaskari

Graphs. 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 information

The University of Sydney MATH2969/2069. Graph Theory Tutorial 5 (Week 12) Solutions 2008

The 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 information

DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski

DUET 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 information

Basis of test: VDE 0660, part 500/IEC Rated peak withstand current I pk. Ip peak short-circuit current [ka] Busbar support spacing [mm]

Basis of test: VDE 0660, part 500/IEC Rated peak withstand current I pk. Ip peak short-circuit current [ka] Busbar support spacing [mm] Powr istriution Short-iruit withstn strngth to EC Short-iruit withstn strngth to EC 439-1 Typ tsting to EC 439-1 During th ours of systm typ-tsting, th following tsts wr onut on th Rittl usr systms n on

More information

Graph Isomorphism. Graphs - II. Cayley s Formula. Planar Graphs. Outline. Is K 5 planar? The number of labeled trees on n nodes is n n-2

Graph Isomorphism. Graphs - II. Cayley s Formula. Planar Graphs. Outline. Is K 5 planar? The number of labeled trees on n nodes is n n-2 Grt Thortil Is In Computr Sin Vitor Amhik CS 15-251 Ltur 9 Grphs - II Crngi Mllon Univrsity Grph Isomorphism finition. Two simpl grphs G n H r isomorphi G H if thr is vrtx ijtion V H ->V G tht prsrvs jny

More information

Section 10.4 Connectivity (up to paths and isomorphism, not including)

Section 10.4 Connectivity (up to paths and isomorphism, not including) Toy w will isuss two stions: Stion 10.3 Rprsnting Grphs n Grph Isomorphism Stion 10.4 Conntivity (up to pths n isomorphism, not inluing) 1 10.3 Rprsnting Grphs n Grph Isomorphism Whn w r working on n lgorithm

More information

Case Study VI Answers PHA 5127 Fall 2006

Case Study VI Answers PHA 5127 Fall 2006 Qustion. A ptint is givn 250 mg immit-rls thophyllin tblt (Tblt A). A wk ltr, th sm ptint is givn 250 mg sustin-rls thophyllin tblt (Tblt B). Th tblts follow on-comprtmntl mol n hv first-orr bsorption

More information

12 - M G P L Z - M9BW. Port type. Bore size ø12, ø16 20/25/32/40/50/ MPa 10 C to 60 C (With no condensation) 50 to 400 mm/s +1.

12 - M G P L Z - M9BW. Port type. Bore size ø12, ø16 20/25/32/40/50/ MPa 10 C to 60 C (With no condensation) 50 to 400 mm/s +1. ris - MP - Compt gui ylinr ø, ø, ø, ø, ø, ø, ø, ø ow to Orr Cln sris lif typ (with spilly trt sliing prts) Vuum sution typ (with spilly trt sliing prts) ir ylinr otry tutor - M P - - MW ll ushing ring

More information

A Low Noise and Reliable CMOS I/O Buffer for Mixed Low Voltage Applications

A Low Noise and Reliable CMOS I/O Buffer for Mixed Low Voltage Applications Proings of th 6th WSEAS Intrntionl Confrn on Miroltronis, Nnoltronis, Optoltronis, Istnul, Turky, My 27-29, 27 32 A Low Nois n Rlil CMOS I/O Buffr for Mix Low Voltg Applitions HWANG-CHERNG CHOW n YOU-GANG

More information

Solutions 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 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 information

CS September 2018

CS September 2018 Loil los Distriut Systms 06. Loil los Assin squn numrs to msss All ooprtin prosss n r on orr o vnts vs. physil los: rport tim o y Assum no ntrl tim sour Eh systm mintins its own lol lo No totl orrin o

More information

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)

12/3/12. 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 information

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs

5/9/13. 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 information

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören

ME 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 information

C-201 Sheet Bar Measures 1 inch

C-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 information

Graphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1

Graphs. 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 information

COMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS

COMPLEXITY 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 information

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas

Using 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 information

QUESTIONS BEGIN HERE!

QUESTIONS 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 information

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!

Cycles 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 information

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}

V={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 information

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

ECE 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 information

0.1. Exercise 1: the distances between four points in a graph

0.1. 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 information

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example

Outline. 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

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Signal Prossing, Fall 006 Ltur 7: Filtr Dsign Zhng-ua an Dpartmnt of Eltroni Systms Aalborg Univrsity, Dnmar t@om.aau. Cours at a glan MM Disrt-tim signals an systms Systm MM Fourir-omain rprsntation

More information

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

# 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

Outline. Circuits. Euler paths/circuits 4/25/12. Part 10. Graphs. Euler s bridge problem (Bridges of Konigsberg Problem)

Outline. 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 information

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Integration 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 information

TOPIC 5: INTEGRATION

TOPIC 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 information

Chem 104A, Fall 2016, Midterm 1 Key

Chem 104A, Fall 2016, Midterm 1 Key hm 104A, ll 2016, Mitrm 1 Ky 1) onstruct microstt tl for p 4 configurtion. Pls numrt th ms n ml for ch lctron in ch microstt in th tl. (Us th formt ml m s. Tht is spin -½ lctron in n s oritl woul writtn

More information

TURFGRASS DISEASE RESEARCH REPORT J. M. Vargas, Jr. and R. Detweiler Department of Botany and Plant Pathology Michigan State University

TURFGRASS DISEASE RESEARCH REPORT J. M. Vargas, Jr. and R. Detweiler Department of Botany and Plant Pathology Michigan State University I TURFGRASS DISEASE RESEARCH REPORT 9 J. M. Vrgs, Jr. n R. Dtwilr Dprtmnt f Btny n Plnt Pthlgy Mihign Stt Univrsity. Snw Ml Th 9 snw ml fungii vlutin trils wr nut t th Byn Highln Rsrt, Hrr Springs, Mihign

More information

Knowledge structures (Doignon & Falmagne, 1985, 1999) Parameter estimation in probabilistic knowledge structures with the pks package

Knowledge structures (Doignon & Falmagne, 1985, 1999) Parameter estimation in probabilistic knowledge structures with the pks package Knowlg struturs (Doignon & Flmgn, 1985, 1999) Prmtr stimtion in probbilisti knowlg struturs with th pks pkg Florin Wiklmir n Jürgn Hllr Psyhoo 2012, Innsbruk, Fbrury 9 Gols Chrtrizing th strngths n wknsss

More information

A Simple Code Generator. Code generation Algorithm. Register and Address Descriptors. Example 3/31/2008. Code Generation

A Simple Code Generator. Code generation Algorithm. Register and Address Descriptors. Example 3/31/2008. Code Generation A Simpl Co Gnrtor Co Gnrtion Chptr 8 II Gnrt o for singl si lok How to us rgistrs? In most mhin rhitturs, som or ll of th oprnsmust in rgistrs Rgistrs mk goo tmporris Hol vlus tht r omput in on si lok

More information

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}

V={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 information

Efficient Broadcast in MANETs Using Network Coding and Directional Antennas

Efficient Broadcast in MANETs Using Network Coding and Directional Antennas Effiint Brost in MANETs Using Ntwork Coing n Dirtionl Antnns Shuhui Yng Dprtmnt of Computr Sin Rnsslr Polythni Institut Troy, NY 28 Ji Wu n Mihl Cri Dprtmnt of Computr Sin n Enginring Flori Atlnti Univrsity

More information

In order to learn which questions have been answered correctly: 1. Print these pages. 2. Answer the questions.

In 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 information

Aquauno Video 6 Plus Page 1

Aquauno 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

10/5/2012 S. THAI SUBHA CHAPTER-V

10/5/2012 S. THAI SUBHA CHAPTER-V /5/ /5/ S. THAI SUBHA CHAPTER-V FIR is finit impuls rspons. FIR systm s n impuls rspons tt is ro outsi of sm finit tim intrvl. FIR systm s finit mmory of lngt M smpls. /5/ S. THAI SUBHA CHAPTER-V /5/ IIR

More information

Walk Like a Mathematician Learning Task:

Walk Like a Mathematician Learning Task: Gori Dprtmnt of Euction Wlk Lik Mthmticin Lrnin Tsk: Mtrics llow us to prform mny usful mthmticl tsks which orinrily rquir lr numbr of computtions. Som typs of problms which cn b on fficintly with mtrics

More information

Numbering Boundary Nodes

Numbering 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 information

Outline. Binary Tree

Outline. 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 information

Ch 1.2: Solutions of Some Differential Equations

Ch 1.2: Solutions of Some Differential Equations Ch 1.2: Solutions of Som Diffrntil Equtions Rcll th fr fll nd owl/mic diffrntil qutions: v 9.8.2v, p.5 p 45 Ths qutions hv th gnrl form y' = y - b W cn us mthods of clculus to solv diffrntil qutions of

More information

Nefertiti. Echoes of. Regal components evoke visions of the past MULTIPLE STITCHES. designed by Helena Tang-Lim

Nefertiti. 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 information

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture: Lctur 11 Wvs in Priodic Potntils Tody: 1. Invrs lttic dfinition in 1D.. rphicl rprsnttion of priodic nd -priodic functions using th -xis nd invrs lttic vctors. 3. Sris solutions to th priodic potntil Hmiltonin

More information

Problem solving by search

Problem 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 information

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES EZ SERVO EZSV17 WIRING DIAGRAM FOR BLDC MOTOR

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES EZ SERVO EZSV17 WIRING DIAGRAM FOR BLDC MOTOR 0V TO 0V SUPPLY GROUN +0V TO +0V RS85 ONVRTR 9 TO OM PORT ON P TO P OM PORT US 9600 U 8IT, NO PRITY, STOP, NO FLOW TRL. OPTO SNSOR # GROUN +0V TO +0V GROUN RS85 RS85 OPTO SNSOR # PHOTO TRNSISTOR TO OTHR

More information

MSC Studentenwettbewerb. Wintersemester 2012/13. Nastran - Patran

MSC Studentenwettbewerb. Wintersemester 2012/13. Nastran - Patran MSC Stuntnwttwr Wintrsmstr 2012/13 Nstrn - Ptrn Aufg Wi groß ist i mximl Vrshiung? Softwr Vrsion Ptrn 2011 MSC/MD Nstrn 2011 Fils Rquir strut.xmt 3 TUTORIAL Prolm Dsription A lning gr strut hs n sign for

More information

Outline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs

Outline. 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 information

Computational Biology, Phylogenetic Trees. Consensus methods

Computational Biology, Phylogenetic Trees. Consensus methods Computtionl Biology, Phylognti Trs Consnsus mthos Asgr Bruun & Bo Simonsn Th 16th of Jnury 2008 Dprtmnt of Computr Sin Th univrsity of Copnhgn 0 Motivtion Givn olltion of Trs Τ = { T 0,..., T n } W wnt

More information

CEDAR ISLAND / KEATON BEACH TAYLOR COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY16 4-FOOT PROJECT

CEDAR ISLAND / KEATON BEACH TAYLOR COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY16 4-FOOT PROJECT 10 9 8 7 6 5 JUG ISLN R KL H R H R ROSMR LN W W HITTIL R JO MORGN R LRW TR RK R L M PNSOL GUL G O R G I TLLHSS JKSONVILL ORLNO OO TMP TLNTI ON N US rmy orps of ngineers Jacksonville istrict ST ON THIS

More information

Math 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4

Math 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 information

The Plan. Honey, I Shrunk the Data. Why Compress. Data Compression Concepts. Braille Example. Braille. x y xˆ

The Plan. Honey, I Shrunk the Data. Why Compress. Data Compression Concepts. Braille Example. Braille. x y xˆ h ln ony, hrunk th t ihr nr omputr in n nginring nivrsity of shington t omprssion onpts ossy t omprssion osslss t omprssion rfix os uffmn os th y 24 2 t omprssion onpts originl omprss o x y xˆ nor or omprss

More information

CS200: Graphs. Graphs. Directed Graphs. Graphs/Networks Around Us. What can this represent? Sometimes we want to represent directionality:

CS200: Graphs. Graphs. Directed Graphs. Graphs/Networks Around Us. What can this represent? Sometimes we want to represent directionality: CS2: Grphs Prihr Ch. 4 Rosn Ch. Grphs A olltion of nos n gs Wht n this rprsnt? n A omputr ntwork n Astrtion of mp n Soil ntwork CS2 - Hsh Tls 2 Dirt Grphs Grphs/Ntworks Aroun Us A olltion of nos n irt

More information

This chapter covers special properties of planar graphs.

This chapter covers special properties of planar graphs. Chptr 21 Plnr Grphs This hptr ovrs spil proprtis of plnr grphs. 21.1 Plnr grphs A plnr grph is grph whih n b rwn in th pln without ny gs rossing. Som piturs of plnr grph might hv rossing gs, but it s possibl

More information

Minimum Spanning Trees

Minimum Spanning Trees Minimum Spnning Trs Minimum Spnning Trs Problm A town hs st of houss nd st of rods A rod conncts nd only houss A rod conncting houss u nd v hs rpir cost w(u, v) Gol: Rpir nough (nd no mor) rods such tht:

More information

Sybil Attacks and Defenses

Sybil Attacks and Defenses CPSC 426/526 Syil Attks n Dfnss Ennn Zhi Computr Sin Dprtmnt Yl Univrsity Rll: L-5 Rputtion systms: - Why w n rputtion/trust systms - Wht is glol rputtion mol - Wht is prsonliz rputtion mol - Cs stuis:

More information

More Foundations. Undirected Graphs. Degree. A Theorem. Graphs, Products, & Relations

More Foundations. Undirected Graphs. Degree. A Theorem. Graphs, Products, & Relations Mr Funtins Grphs, Pruts, & Rltins Unirt Grphs An unirt grph is pir f 1. A st f ns 2. A st f gs (whr n g is st f tw ns*) Friy, Sptmr 2, 2011 Ring: Sipsr 0.2 ginning f 0.4; Stughtn 1.1.5 ({,,,,}, {{,}, {,},

More information

6202R. between SKY and GROUND. Statement sidewalk

6202R. 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 information

CS 461, Lecture 17. Today s Outline. Example Run

CS 461, Lecture 17. Today s Outline. Example Run Prim s Algorithm CS 461, Ltur 17 Jr Si Univrsity o Nw Mxio In Prim s lgorithm, th st A mintin y th lgorithm orms singl tr. Th tr strts rom n ritrry root vrtx n grows until it spns ll th vrtis in V At h

More information

CSE 373. Graphs 1: Concepts, Depth/Breadth-First Search reading: Weiss Ch. 9. slides created by Marty Stepp

CSE 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 information

Seven-Segment Display Driver

Seven-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 information

Formulation of Seismic Active Earth Pressure of Inclined Retaining Wall Supporting c-ф Backfill

Formulation of Seismic Active Earth Pressure of Inclined Retaining Wall Supporting c-ф Backfill 01 IACSIT Coimbtor Confrns IPCSIT ol. 8 (01 (01 IACSIT Prss, Singpor Formultion of Sismi Ati Erth Prssur of Inlind Rtining Wll Supporting -Ф Bkfill Sim Ghosh 1 nd Strup Sngupt + 1 Assistnt Profssor, Ciil

More information

NMEA 2000 GATEWAY ASSEMBLY

NMEA 2000 GATEWAY ASSEMBLY Noti NOTICE Atr omplting instllti, ths instrutis shoul pl with th prout or th ownr's utur us. NOTICE This oumnt is writtn to i our lrs n ompny srvi prsnl in th propr instllti or srvi o our prouts. Prss

More information

MA1506 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.

MA1506 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 information

Comparison of two anisotropic creep models at element level

Comparison of two anisotropic creep models at element level Comprison of two nisotropi rp mols t lmnt lvl N. Sivsithmprm Plxis B.V, Dlft, Th Nthrlns Univrsity of Strthly, Glsgow, Unit Kingom M. Krstunn Chlmrs Univrsity of Thnology, Gothnurg, Swn Univrsity of Strthly,

More information

a b v a v b v c v = a d + bd +c d +ae r = p + a 0 s = r + b 0 4 ac + ad + bc + bd + e 5 = a + b = q 0 c + qc 0 + qc (a) s v (b)

a b v a v b v c v = a d + bd +c d +ae r = p + a 0 s = r + b 0 4 ac + ad + bc + bd + e 5 = a + b = q 0 c + qc 0 + qc (a) s v (b) Outlin MULTIPLE-LEVEL LOGIC OPTIMIZATION Gionni D Mihli Stnfor Unirsit Rprsnttions. Tonom of optimition mthos: { Gols: r/l. { Algorithms: lgri/booln. { Rul-s mthos. Empls of trnsformtions. Booln n lgri

More information

S 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 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 information

DETAIL B DETAIL A 7 8 APPLY PRODUCT ID LABEL SB838XXXX ADJ FOUR POST RACK SQUARE HOLE RAIL B REVISION

DETAIL B DETAIL A 7 8 APPLY PRODUCT ID LABEL SB838XXXX ADJ FOUR POST RACK SQUARE HOLE RAIL B REVISION RVISION RV SRIPTION Y T HNG NO NOT OR PROUT LL JJH // LR TIL PPLY PROUT I LL TIL INSI UPPR ROSS MMR ON PR RK IS J OUR POST RK SQUR HOL RIL IS MN MS G NUT, PNL RNG 99 PPLY PROUT I LL INSI UPPR ROSS MMR

More information

Post-local buckling-driven delamination in bilayer composite beams

Post-local buckling-driven delamination in bilayer composite beams Loughborough Univrsity Institutionl Rpository Post-lol bukling-drivn dlmintion in bilyr omposit bms This itm ws submittd to Loughborough Univrsity's Institutionl Rpository by th/n uthor. Cittion: WA, S....t

More information