System-reliability-based design and topology optimization of structures under constraints on first-passage probability
|
|
- Ursula Harrington
- 5 years ago
- Views:
Transcription
1 Srucural Safy 76 (09) 8 94 Cos lss avalabl a SccDrc Srucural Safy o u r a l h o m p a g : w w w. l s v r. c o m / l o c a / s r u s a f Sysm-rlably-basd dsg ad opology opmzao of srucurs udr cosras o frs-passag probably Juho Chu a, Juho Sog b,, Glauco H. Paulo c a School of Archcur, Syracus Uvrsy, Syracus, NY, Ud Sas b Dparm of Cvl ad Evromal Egrg, Soul Naoal Uvrsy, Soul, Rpublc of Kora c School of Cvl ad Evromal Egrg, Gorga Isu of chology, Alaa, GA, Ud Sas A R I C L E I N F O Kywords: Rlably-basd dsg opmzao Rlably-basd opology opmzao Sochasc xcao Squal compoudg mhod Paramr ssvy Sysm rlably Frs-passag probably A B S R A C For h purpos of rlably assssm of a srucur subc o sochasc xcaos, h probably of h occurrc of a las o falur v ovr a m rval,.. h frs-passag probably, of ds o b valuad. I hs papr, a w mhod s proposd o corpora cosras o h frs-passag probably o rlably-basd opmzao of srucural dsg or opology. For ffc valuaos of frs-passag probably durg h opmzao, h falur v s dscrbd as a srs sysm v cossg of saaous falur vs d fd a dscr m pos. h probably of h srs sysm v s h compud by us of a sysm rlably aalyss mhod rmd as h squal compoudg mhod. h ado ssvy formulao s drvd for calculag h paramr ssvy of h frs-passag probably o facla h us of ffc grad-basd opmzao algorhms. h proposd mhod s succssfully dmosrad by umrcal xampls of a spac russ ad buldg srucurs subcd o sochasc arhqua groud moos.. Iroduco Fdg h opmal dsg of a srucural sysm wh rgard o safy, cos or prformac s o of h mos ssal ass srucural grg pracc. h opmal dsg should achv maor dsg obcvs rprsg rlabl oprao ad safy v udr sochasc xcaos causd by aural hazards such as arhquas ad wd loads. Du o hr radomss aural dsasrs, howvr, sgfca ucras may xs h sy ad char- acrscs of h xcaos. hrfor, h prformac of such srucural sysms ds o b assssd probablscally durg h opmzao procss. o dal wh ucras ffcvly srucural dsg/opology opmzao, varous opmzao algorhms ad framwors wr dvlopd rcly. For sac, h so-calld robus dsg/opology opmzao algorhms [ 3 ] am o rduc h ssvy of h opmal prformac of a srucur wh rspc o h radomss of rs. By coras, Rlably-basd dsg/opology opmzao [4 0] ams o fd opmal soluos sasfyg h probablsc co- sras o h srucural prformac dcaors. So far, hs suds hav b maly focusg o accoug for ucras sac loads rprsg ypcal load pars of h srucur. Rc suds o srucural opmzao cosdrg dyamc xcaos mployd a small umbr of drmsc m hsors rprsg possbl fuur ralzaos [, ], or focusd o paral dscrpors of h dyamc rsposs such as mod frqucs [3]. hs approachs hav rsc lmaos bcaus () a sgl or small umbr of sampl m hsors may o rprs all possbl ralzaos of sochasc xcaos, ad () s praccally mpossbl o assss h probabls ha h srucural dsg dos o sasfy h cosras o prformacs,.. falur probabls usg hs approach. hrfor, h probablsc prdco of srucural rsposs basd o radom vbrao aalyss s dd h procss for opmal dsg. o ovrcom hs chcal challg, h auhors rcly proposd a w mhod for opology opmzao of srucurs udr sochasc xcaos [4]. I h proposd mhod, a ff c radom vbrao aalyss mhod basd o h us of h dscr rprsao mhod [5] ad srucural rlably hors (s [6] for a rvw) wr grad wh a sa-of-h-ar opology opmzao framwor. h auhors also dvlopd a sysm rlably-basd opology opmzao framwor udr sochasc xcaos [7] o cop wh sysm falur vs cossg of sascal dpd compo vs usg h marx-basd sysm rlably mhod [8]. h dvlopd mhod hlps sasfy probablsc cosras o a sysm Corrspodg auhor. E-mal addrss: uhosog@su.ac.r (J. Sog). hps://do.org/0.06/.srusaf Rcvd 5 Spmbr 07; Accpd 7 Ju / 08 Elsvr Ld. All rghs rsrvd.
2 J. Chu al. Srucural Safy 76 (09) 8 94 falur v, whch cosss of mulpl lm-sas dfd rms of dffr locaos, falur mods or m pos as opmzs a srucural sysm. I hs suds by h auhors, h saaous falur prob- abls of h srucur wr valuad a dscr m pos. Howvr, o promo applcaos of dsg/opology opmzao o grg dsg pracc, h frs-passag probably,.. h probably of a las o occurrc of h falur ovr a m rval, ds o b smad durg h opmzao procss. Spc al. [9] proposd a framwor for RBDO of lar sysms cosrad o h frs-passag probably. hs approach dcoupls h sd r- lably aalyss loop from h opmzao loop by solvg sub-opmzao problm formulad from smulao rsuls. Bobby al. [0] prsd a smulao-basd framwor for opology opmzao of wd-xcd buldg srucurs wh h cosdrao of h frs- passag probably. h frs-passag probably hlps promo h us of h proposd sochasc opmzao framwor for h dsg of h laral loadrssg sysm or szg srucural lms udr sochasc xcaos wh a f durao such as arhqua xcaos. o hs d, hs papr roducs a sochasc dsg ad opology opmzao mhod ha ca hadl probablsc cosras o h frs-passag probably, ad dmosras h mhod usg umrcal xampls.. Radom vbrao aalyss usg dscr rprsao mhod I h aformod rlably-basd dsg opmzao framwor udr sochasc xcaos [ 4, 7], h auhors proposd o prform radom vbrao aalyss by us of h dscr rprsao mhod [5] ordr o compu h saaous falur probably of h sochasc rspos a dscr m pos. I h proposd approach, for xampl, a zro-ma saoary Gaussa pu xcao procss f( ) s dscrzd as f ( ) v s ( ) s( ) v whr s ( ) ( [ s ( ),, s ( )] ) s a vcor of drmsc fucos ha dscrb h spcral characrscs of h procss, ad v [v, v,, v ] s a vcor of ucorrlad sadard ormal radom varabls. Amog xsg mhods avalabl o dvlop a dscr rprsao modl Eq. (), a popular o for groud xcao modlg s usg a flr rprsg h characrsc of h sol mdum ad a radom puls ra. For xampl, f a flrd wh os s usd, h modl Eq. () s cosrucd as 0 f ( ) h ( τ) W ( τ) dτ s( ) v f π Φ 0/Δ h ( τ ) dτ < <,,, s ( ) f 0 whch W( τ) dos h wh os procss whos powr spcral dsy fuco s Φ WW (ω) Φ 0, h f ( ) s h mpuls rspos fuco of h flr, Δ, ad dos h umbr of h m - rvals roducd for h gv m prod (0, ). h dals of h drvao of Eq. () ar avalabl Chu al. [4]... Rspos of lar sysm udr sochasc xcaos h rsposs of lar sysms o sochasc xcao ca b drmd by h covoluo gral cossg of hr mpuls rspos fuco ad h dscrzd pu procss Eq. (). ha s, a rspos m hsory u( ) of h lar sysm subcd o h so- chasc xcao f( ) s drvd as () () s s u ( ) f ( τ) h ( τ) dτ v s ( τ) h ( τ ) dτ v a ( ) a( ) v 0 0 whr h s ( ) s h mpuls rspos fuco of h lar srucural sysm, ad a( ) dos a vcor of drmsc bass fucos a ( ) s( τ) hs( τ) dτ,,, 0 (4) Drvg h mpuls rspos fuco a f lm sg ca b compuaoally challgg or cumbrsom. o facla h procss, h auhors proposd ovl umrcal procdurs Chu al. [4]... Isaaous falur probably of lar sysm udr sochasc xcaos I srucural rlably aalyss, h probably ha h oucom of a radom vcor X s locad sd h falur doma Ω f,.. h falur probably, s compud by a gral Pf fx ( x ) dx Ω f (5) whr f X ( x) s h o probably dsy fuco (PDF) of h radom vcor X. h falur doma s dfd by h ara whr h lm-sa fuco g( x),.g. capacy mus dmad, as h gav sg. I gral, compug h mul-fold gral Eq. (5) s orval or compuaoally challgg. Srucural rlably mhods such as FORM ad SORM (s [6] for a rvw) rasform h spac of h radom varabl x o h ucorrlad sadard ormal spac v. h, h lm-sa fuco s approxmad by a lar (FORM) or quadrac fuco (SORM) a h dsg po, of alravly rmd as h mos probabl falur po (MPP). For xampl, FORM, h falur probably s approxmad as Pf Φ[ β] (6) whr β s h rlably dx,.. h shors dsac from h org of h sadard ormal spac o h larzd falur surfac, ad Φ[ ] dos h cumulav dsrbuo fuco (CDF) of h sadard ormal dsrbuo. Usg h dscr rprsao mhod dscrbd abov, lm-sa fucos dfd for dsplacm or ohr srucural rsposs ca b dscrbd h spac of sadard ormal radom varabl v. For xampl, h saaous falur v E f dfd for a lar srucur subcd o h Gaussa pu procss Eq. () s gv by E (, u, v) { g(, u, v ) 0}, whr g(, u, v) u u ( ) f u a( ) v whr u 0 s h prscrbd hrshold o h dsplacm rspos. I hs cas, h rlably dx β s compud from h gomrc - rprao of h lm-sa surfac as a closd form xprsso [5] u0 β(, u 0) a( ) I s od ha h lm-sa fuco Eq. (7) s lar hs cas, ad hus h falur probably by Eq. (6),.. P f Φ[ β(,u 0 )] dos o roduc rrors causd by fuco approxmao or rqur olar opmzao o fd h dsg po. If h srucur bhavs olarly or h pu procss s o-gaussa, o ds o us rlably mhods such as FORM or SORM o compu h falur probably approxmaly. Usg hs dscr rprsao mhod, o ca rduc h compuaoal cos of h radom vbrao aalyss, whch should b rpvly prformd durg h opmzao procsss o compu h saaous falur probably a ach updad s of dsg varabls. 0 (3) (7) (8) 8
3 J. Chu al. Srucural Safy 76 (09) Frs-passag probably of lar sysm udr sochasc xcaos h frs-passag probably s commoly ulzd o fd h probably of h falur v dscrbd wh a m rval [ 3]. O of h avalabl approachs for formulag h frs- passag probably P fp dfs h problm as a srs sysm problm,.. < > fp ( 0 max ( )) { ( ) 0} 0< < P P u u P u u (9) Usg h dscr rprsao, h frs-passag probably of a sysm wh c lm-sa fucos (df d for dffr falur mods or locaos) s dscrbd as c c sys f (,, ) 0 P fp P E P E u v E sys (0) whr dos h frs-passag falur v rgardg h -h cosra, E ( ) dos h saaous falur v of h -h lm- sa fuco a m, ad s h oal umbr of dscrzd m pos. o compu h f rs-passag probably Eq. (0), s r- qurd o valua h falur probabls of h compo vs a ach m po wh a rval. Morovr, a ffc, rlabl ad robus algorhm s rqurd o valua h sysm falur probably wh a propr cosdrao of sascal dpdcy bw h compo vs. I s also dsrabl o compu h paramr ssvy of h srs sysm falur probabls Eqs. (9) ad (0) o abl h us of ffc grad-basd opmzrs. o addrss hs rqurms, h squal compoudg mhod (SCM; [4]) ad h Chu-Sog-Paulo (CSP; [5]) mhod ar adopd hs sudy. 3. Opmzao of srucurs subcd o sochasc xcao udr rs-passag probably cosras 3.. Srucural dsg opmzao Rlably Basd Dsg Opmzao (RBDO) of a srucur ams o achv h opmal dsg udr probablsc cosras o ucra prformac, arsg from ucras maral proprs or loads. h RBDO problm of a srucur udr frs-passag probably co- sras ca b formulad as a Sysm Rlably Basd Dsg Opmzao (SRBDO) problm [9],.. m f ( d) d ob f d s. P ( E sys) P E (, ) arg P { g (, d) 0} P f,,, c uppr dlowr d d wh M( d) u (, d ) + C( d) u (, d ) + K( d) u(, d ) f(, d) () whr f ob ( d) dos h obcv fuco of h dsg, d lowr ad d uppr ar h lowr ad uppr bouds of h vcor of dsg varabls d, rspcvly. g ( ) rprss h lm-sa fuco whos gav sg dcas h volao of a gv cosra, c s h umbr of h cosras, P( g ( ) 0) s h probably of h falur v, ad P arg f s h arg falur probably. M, C, ad K rprs h global mass, dampg ad sffss ma- rcs of h srucur, rspcvly, ad ü, u, u, ad f ar h accl- rao, vlocy, dsplacm ad forc vcors a m, rspcvly. A proporoal dampg modl ow as Raylgh dampg [6] s usd hroughou hs papr. I hs approach, h dampg marx s drmd as a lar combao of h sffss ad mass marx, ha s C κ 0 M + κ K. h coffcs κ 0 ad κ h Raylgh dampg modl ar drmd so as o hav cra modal dampg facors. For arhqua groud xcaos, h forc vcor Eq. () s drmd by a vcor of ffcv arhqua forcs,.. f(, d) M( d) l u g ( ) M( d) lf ( ) () whr l rprss h drcoal dsrbuo of mass wh uy r- sulg from a u groud dsplacm ad ü g s h groud acclrao m hsory. 3.. Srucural opology opmzao opology opmzao (s [7] for a rvw) ams o fd h opmal maral dsrbuos a dsg doma subcd o racos ad dsplacm boudary codos whl sasfyg gv dsg cosras. hus, vry po of a dsg doma s xpcd o rprs hr a xsc of maral or a vod rgo. h Sold Isoropc Maral wh Palzao (SIMP; [8] ) modl, whch s adopd hs sudy, cosdrs a couous maral dsy a dsg varabl usg h powr fuco rprsao,.. ψ ( x) x p (3) whr p s h palzao facor ad x s a dsy assocad wh lm h f lm mhod sg. h opology opm- zao soluos usg h SIMP, or rlad modls, may suffr from chcrboard pars ad msh-dpdcy [9]. o ovrcom hs problms, varous mhods hav b proposd (.g. [ 30 33] ). I hs sudy, a proco mhod [30] s mplmd o oba a flrd dsy basd o lm dsg varabls wh h ghborhood such as: w ( r ) d rm r N r r ρ w r w ( r ), ( ) f r m m 0 ohrws N (4) whr d dos dsg varabl of lm, N rprss h s of lms wh h radus r m of lm, w( r ) s h wghg fuco, ad r s h dsac bw h crods of lm ad. Usg h SIMP modl, h sffss ad mass marx of lm ad hr drvavs wh rspc o a lm dsy ar obad as follows h lm-basd compuaoal framwor [7]: p K ρ ρ K M ρ q ( ), ( ) ρ M 0 0 K ρ ( ) 0 ( ) 0 ρ p M ρ q pρ K, qρ M ρ (5) whr q s h palzao paramr, ad K 0 ad M 0 ar compud by 0 K B D BΩ, M N ρm NdΩ Ω Ω (6) 0 0 whr B dos h sra dsplacm marx of h shap fuco drvavs h doma Ω of lm, m rprss h mass dsy of h maral ad N s h shap fuco of lm. D 0 s h lascy sor of h sold maral, whr h dsy s. opology opmzao of a srucur udr sochasc xcao wh cosras o h frs-passag probably ca b formulad as m f ( ρ ~ ) d ob P E f ρ s. P ( E ) (, ~ sys ) P { g (, ρ ~ arg ) 0} Pf,,, c 0 < ε ρ Ω wh M( ρ ~ ) u (, ρ ~ ) + C( ρ ~ ) u (, ρ ~ ) + K ( ρ ~ ) u (, ρ ~ ) f (, ~ ρ) (7) whr d dos h vcor of dsg varabls, Ω s a s of f lm dcs ad ρ ~ s h vcor of flrd dss dfd as: ρ ~ Pd (8) whr P rprss h flrg marx whos lm s drmd by 83
4 J. Chu al. Srucural Safy 76 (09) 8 94 ( P) l wl w w r w ( r ), ( ) f Nl l 0 ohrws Nl (9) A flowchar for opology opmzao of a srucur cosrad by frs-passag probably s provdd Appdx A. Varous grg cosras ca b corporad o h abov formulaos of rlably-basd dsg opmzao ad opology opmzao udr frs-passag probably. o promo applcaos of h proposd mhod o russ ad buldg srucurs, grg cosras o srss h bar ad r-sory drf rao ar drvd blow Frs-passag probably cosras o srss bar lms Cosdr a bar a russ srucur wh h local od umbrs ad dog h d pos of h bar as show Fg.. A u vcor pog from od o od s dfd as cosθ sθ (0) h global dsplacm vcors of h d ods of bar ar wr as u u u g g g u, x, whr u u,, y u u u g, x, y () h srss ( ) a russ lm udr sochasc xcaos ca b compud from h srss sra rlaoshp basd o Hoo s law as follows: D D D σ (, d ) L u g d u g d L B u ( (, ) (, )) ( L u l (, d ) u l (, d )) () whr D dos Youg s modulus, L s h lgh of h lm, u l ( ) ad u l ( ) ar d dsplacms alog h russ axs, ad B [ ] (3) h logao Eq. () ca b dscrbd by usg h dscr rprsao form Eq. (3),.. D σ (, d) ( a(, d) v a (, d) v) L Fg.. Bar gomry. (4) h saaous falur probably a m s xprssd rms of srss h russ lm as P ( E (, d)) P ( g (, d ) 0) P ( σ σ (, d ) 0) Φ[ β (, d)] f 0 σ (5) whr 0 dos h hrshold valu of srss. From h gomrc rprsao assocad wh h falur v of lm, h r- lably dx a m s compud as L σ0 L σ0 β σ (, d) D a(, d) a (, d) D b (, d) (6) h frs-passag probably of h srss lm sa fuco s h compud as P fp _ σ ( Esys ) P Efσ (, d) P { σ0 σ (, d) 0} Φ [β (, d), β (, d ),,β (, d); ρ, ρ,, ρ ] σ σ σ,,3, Φ [ β, R] σ (7) whr Φ dos h mulvara ormal CDF,, rprss h corrlao coffc bw h ormal radom varabls rprsg falur v ad, ad ad R ar h vcors of h rlably - dcs ad h corrlao coffc marx, rspcvly. h corrla- o coffc marx R s cosrucd as ρ, ρ, R, ρ, l α( ) α( l) ρ ρ,, (8) whr ( ) a( )/ a( ) dos h gav ormalzd grad vcor of h lm-sa fuco valuad a h dsg po whch s obad by u 0 a( )/ a( ). h mulvara CDF Eq. (7) ad hos h followg Scos 3.4 ad 3.5 ar compud by SCM [4]. h CSP mhod [5] whos dals ar prsd Sco 5 s usd o compu h ssvy of h mulvara CDF Frs-passag probably cosra o r-sory drf rao h frs-passag probably ca b compud rms of h r- sory drf rao, whch s o of h sgfca dsg crra srucural grg, dfd as a(, d) v for Δ (, d) H H v ( a(, d ) a(, d) ) for 3, 4,, s H (9) whr Δ dos h sory drf a floor lvl, H rprss h sory hgh blow lvl, ad s s h umbr of sory lvls. h saaous falur probably rms of h r sory-drf raos s P ( E (, d)) P ( g (, d) 0) P u Δ fδ 0Δ Φ[ β (, d)],,, Δ Δ (, d) 0 H s (30) whr u 0Δ dos a hrshold valu of h r-sory drf rao, ad β Δ rprss h rlably dx whch ca b compud as Hu0Δ a(, d) β Δ (, d) H u0δ a(, d) a(, d) for for 3, 4,, s Fally, h frs-passag probably s Δ (, d) sys f d Δ 0Δ Δ H P fp _ ( E ) P E (, ) P u 0 Φ [β (, d), β (, d ),,β (, d); ρ, ρ,, ρ ] Δ Δ Δ,,3, Φ [ β, R] Δ { } 4. Calculag ssvy of rs-passag probably (3) (3) o us ffc grad-basd opmzao algorhms for RBDO, s ssal o calcula h ssvy of h falur probably wh rspc o varous dsg paramrs. I hs papr, a ssvy formulao mployg h ado mhod [34] s drvd for h frs- passag probably of a lar srucur basd o h dscr 84
5 J. Chu al. Srucural Safy 76 (09) 8 94 abl opology opmzao problm ( Fg. ): flrg paramrs for groud xcaos ad a hrshold valu of h probablsc cosra. Φ 0 ωf ζ f (s) Δ (s) u 0Δ 00 5 π /400 rprsao mhod. I s od ha h ssvy of h sysm falur probably wh rspc o a paramr θ s obad by a cha rul,.. Pf ( E sys) Pf ( Esys) β (θ) θ β (θ) θ (33) Rcly, Chu al. [5] proposd h CSP mhod o compu h drvavs of h sysm falur probably wh rspc o h rlably dx basd o h us of h SCM. h CSP mhod compus ssvs of paralll ad srs sysms, as wll as gral sysms wh rspc o rlably dcs ffcly ad accuraly. 4.. Ssvy of sysm rlably usg SCM h CSP mhod compus paramrc ssvy of h sysm rlably basd o h SCM mhod. h ma da of h CSP mhod s carryg ou ssvy aalyss afr h sysm falur v s smplfd usg h SCM. hs da s brfly xplad usg a srs sysm xampl formulad as a -fold gral h corrlad sadard ormal spac,.. P ( E srs ) P ( E E E ) P (β Z ) φ ( z; R) d z Ω f (34) Suppos h -h compo s compoudd a h las sp,.. compoudd wh h supr-compo E S, whch dos h uo of all h compo vs xcp h -h o. Ulzg h formula for b-vara ormal CDF [35], h ssvy of h srs sysm falur probably wh rspc o β s obad as [5] P ( Esrs ) Φ [ φ β, β S ; ρ ], S ( β ) β β (35) ρ S, whr s h updad corrlao co ff c bw E ad E S obad durg h squal compoudg [4], ad βs Φ[ P ( E S )] Φ[ P ( E )] p p S (36) whr S dos h dx s of h compos E S. Smlarly, h paramr ssvs of paralll ad cu-s sysms wr drvd by Chu al. [5]. 4.. Ssvy of rs-passag probably RBDO o facla h us of a grad-basd opmzr, h ssvy of h frs-passag probably RBDO s compud usg h cha rul,.. Pfp ( Esys ) ( Φ [ β, R ]) ( Φ [ β, R ]) β ( d) d d β d β ( d) c d (37) whr c ( Φ[, R])/ β ca b compud usg Eq. (35). h paral drvav β / d s obad by β ( d) d a (, d) (, d) d C a cs a (, d) 3/ (38) whr C cs s h coffc drmd dpdg o h cosra usd opmzao,.g. C cs Lσ 0 / D : srss bar Hu0Δ : drf rao H u 0Δ : r-sory drf rao (39) Wh a uform m sp sz s usd,.. Δ,,,, ad 0, Eq. (38) ca b rwr from Eq. (4) as follows (s mor dals of h drvao Appdx of Chu al. [4]): Fg.. Ssvy comparso: (a) gomry, loadg codo, ad locaos whr ssvy s rpord ( abl ), (b) ssvs from h ado mhod (AJM), ad (c) ssvs from h f dffrc mhod (FDM). 85
6 J. Chu al. Srucural Safy 76 (09) 8 94 abl Ssvy comparso of frs-passag probably o a dsplacm cosra opology opmzao. Δd FDM AJM P f /d A P f /d B P f/d C P f/d A P f /d B P f /d C β ( d) d a (, d) (, d) d + C a cs + a (, d) 3/ (40) Furhrmor, h uform sp sz lads o h followgs for h paramr ssvy Eq. (37): Pfp ( Esys ) d whr β ( d) a l + (, d) c C χ a cs l l + (, d) d d l as (, d) κ (, d) s d s 3/ (4) χl c/ a (, d), κ s(, d ) C cs χ s+ as(, d) l + (4) Fg. 3. Compuaoal m comparso for ssvy aalyss by h FDM ad h AJM Ssvy of rs-passag probably by ado varabl mhod h ssvy Eq. (4) cluds h mplcly dfd drvav rm of a s (, d)/ d, s,,. hos mplc drvavs ca b compud usg h drc dffrao mhod (DDM), h f dff rc mhod (FDM) or h ado varabl mhod (AJM) [34]. Fg. 4. A spac russ dom xampl: (a) prspcv vw of h dom, (b) pla vw ad drcos of appld groud acclraos ad (c) lm umbrg chocs. 86
7 J. Chu al. Srucural Safy 76 (09) 8 94 Fg. 5. Gomry of a spac russ dom: (a) basc grd, (b) sco vw alog grd l 5, ad (c) sco vw alog grd l 3 7. abl 3 Paramrs for flrs of groud moo modls ad cosras opmzao (spac russ dom opmzao xampl). Φ 0_g Φ 0_g ω f ζ f (s) Δ (s) Ial cross-sco aras (m ) Chu al. [4] drvd a approach of ssvy calculaos assocad wh a s (, d)/ d usg h ado varabl mhod. h umrcal ss cofrmd supror prformac of AJM compard o DDM ad FDM. Basd o h AJM drvao, h ssvy of h frs- passag probably Eq. (4) s rwr as Pfp ( E sys) A( d) f(, d) λ + u(, d) η (Δ ) d d d f(, d ) f(, d) (0.5 + γ η )(Δ ) (0.5 γ + η)(δ ) d d + B ( d + E ( d) ) u(, d) u(, d) d d + u (0, d) u(, d) λ B d + E d ( ) ( ) d d + u (0, d) λ E( d) d hrshold valu π u 0Δ x /800 u 0Δ y /800 (43) whr λ + dos h ado varabl vcor. A( d), B( d), ad E( d) rprs followgs rspcvly: A( d ) M( d ) + γδ C( d ) + η (Δ ) K( d) B ( d ) M ( d ) + ( γ )Δ C ( d ) + (0.5 + γ η )(Δ ) K ( d) E ( d ) M ( d ) + ( γ )Δ C ( d ) + (0.5 γ + η )(Δ ) K ( d) (44) 4.4. Ssvy aalyss of rs-passag probably RBO Ssvy aalyss of frs-passag probably sochasc opology opmzao s smlar o h drvao for RBDO dscrbd abov. h ma dffrc of ssvy aalyss opology opmzao coms from h proco mhod o oba h flrd dsy as show blow. P E β R β R ρ ~ fp ( sys) ( Φ [, ]) ( Φ [, ]) β ( ) d d β d ( Φ [ β, R]) β ( ρ ~ ) ρ l β l ρl d β R ~ ( Φ [, ]) β ( ρ) ( P) h β row ρ~ ( Φ [ β, R]) β ( ρ ~ ) ( P) h row ρ β ~ (45) Fg. 6. Opmzd spac russ dom corrspodg o d ffr agls of groud acclraos: (a) θ g 0, θ g 30, (b) θ g 0, θ g 60, (c) θ g 0, θ g 90 (Color lgds: A A m gr, 0.0 m < A 0. m blu, 0. m < A 0.4 m brow, 0.4 m < A rd). (For rprao of h rfrcs o color hs fgur lgd, h radr s rfrrd o h wb vrso of hs arcl.) 87
8 J. Chu al. Srucural Safy 76 (09) 8 94 Fg. 7. Opmzd cross-scoal aras of russ lms corrspodg o h groud acclraos appld a d ffr agls. Fg. 8. Covrgc hsory: (a) volum ad (b) frs-passag probably. Comparso bw dyamc rsposs by h al srucur ad h opmzd srucurs: (c) radomly grad groud acclraos (θ g 0, θ g 30 ), (d) drf rao h x-drco ad () drf rao h y-drco. 88
9 J. Chu al. Srucural Safy 76 (09) 8 94 Fg. 9. (a) Dsg doma ad loadg codo, (b) od of rs for a p drf rao cosra, ad (c) ods of rs for r-sory drf raos. abl 4 Paramrs for groud moo flr modl ad cosras of opology op- mzao (opology opmzao xampl). whr P dos h raspos of h f lrg marx Eq. (9) ad ( P) h row s h -h row vcor of P. hus, P Φ 0 ω f ζ f (s) Δ (s) I. dsy Colum sz hrs. valu 7.5 5π m 0.6 m u 0Δ /50 ( E β R ρ ~ sys ) ( Φ [, ]) β ( ) P d ρ β ~ (46) fp whr h paral drvav of β ( ) wh rspc o a lm dsy ca b compud as xplad Scos 4. ad Vr cao of calculad ssvy h ado ssvy mhod drvd for h frs-passag prob- ably cosras s sd for h opology opmzao problm Fg. (a) hrough comparso wh h f dffrc mhod o vrfy accuracy ad ffccy. h sochasc ssmc acclrao f( ) s modld as a flrd wh-os procss usg h Kaa-am flr modl wh h sy Φ 0 [6,3]. h u-mpuls rspos fuco of h flr ad h ffcv forc vcor causd by h arhqua xcao ar drmd as follows, rspcvly: ( ζ f ) ωf K hf ( ) xp( ζf ωf ) s( ωf ζ ) f ζ f ζ f ω f cos( ω f ζ ) f K ( f 0 ) f( d, ) M( d) l f ( ) M( d) l h ( τ) W ( τ) dτ (47) (48) abl summarzs h Kaa-am flr paramrs of doma frqucy ω f ad badwdh ζ f, h m rval of rs, ad h hrshold valu of h drf rao a ach m po. h ssvs of h frs-passag probably wh rspc o h dsg varabls locad a h hr pos A, B ad C Fg. (a) ar compud by h proposd ado mhod ad h FDM, rspcvly. h srucural colums rprsd by wo vrcal ls Fg. (a) ar modld by fram lms. Youg s modulus E,000 MPa ad mass dsy ρ m,400 g/m 3 ar usd as maral proprs for boh h quadrlaral ad fram lms. h saaous falur v a a dscrzd m po s cosdrd rms of a avragd drf rao valuad a wo ods of rs. hus, h frs-passag v s dfd as + E E ρ ~ ( a( ρ ~ a ρ ~, ) Lf (, ) Rgh) v sys f (, ) u 0 Δ 0Δ H (49) h ssvs of h frs-passag probably cosra Eq. (49) ar show Fg. (b) ad (c), whch show good agrms. h ssvs by h FDM mployg a rag of prurbaos (from 0 o 0 ) ar abulad abl for comparso wh h rsuls by h AJM, ad h fluc of h prurbao sz o h rsuls by h 89
10 J. Chu al. Srucural Safy 76 (09) 8 94 Fg. 0. opology opmzao rsuls from h four-sory buldg xampl cosrad by h frs-passag probably rm of h p drf rao cosra: (a) β arg.5, P arg f 6.68%, (b) β arg.5, P arg f 0.6%, ad (c) β arg 3.0, P arg f 0.3%. Fg.. opology opmzao rsuls from h four-sory buldg xampl cosrad by h frs-passag probabls rms of r-sory drf rao: (a) β arg.5, P arg f 6.68%, (b) β arg.5, P arg f 0.6%, ad (c) β arg 3.0, P arg f 0.3%. 90
11 J. Chu al. Srucural Safy 76 (09) 8 94 FDM. h compuaoal coss of h wo mhods ar compard Fg. 3 whl varyg h umbr of lms h problm. h compuaoal coss ar ormalzd by ha of h AJM for h 00- lm cas. I s od ha h proposd AJM rqurs dramacally lss compuaoal m ha h FDM. I should also b od ha ul FDM, AJM dos o rqur drmg h prurbao sz, for whch a opmal choc s grally o ow a pror. 5. Numrcal applcaos 5.. Spac russ dom opmzao I hs xampl, h wgh of a asymmrc spac russ dom composd of 04 lms ( Fg. 4) s mmzd udr cosras o h frs-passag probably of h drf rao valuad a h od of rs,.. h hghs lvao. h basc grd of h srucur, pla vw, ad sco vws ar provdd Fg. 5. Fg. 4(c) shows h lm umbrg chocs of h spac russ dom. A ach od of h srucur, addoal masss (0,000 g) rprsg o-srucural masss such as claddgs ar qually appld. Youg s modulus E 0 GPa ad mass dsy m 7,850 g ar usd as maral proprs for ach russ lm. h groud acclrao s grad by usg h Kaa-am flr. h flr ad opmzao paramrs ar prsd abl 3. h probablsc cosra s dfd rms of h p drf rao valuad a h op ( z 5 m). For a loadg scaro, wo drco compos of arhqua groud xcaos a agls (θ g, θ g ) show Fg. 4(b) ar cosdrd smulaously ad appld o h srucur. h arg falur probably ad a lowr boud of dsg varabls ar s o P arg f (β arg arg f Φ[ P f ] 3.0) ad 0.0 m. h opmzao formulao cosdrg mulpl groud acclraos wh cosras o drf raos boh x- ad y-drcos s dvlopd as m f ( d) ob d arg s. P fp, x dr ( E f (, d): g (, d) 0) P x x f x dr arg Pfp, y dr ( E f (, d): g (, d) 0) P y y f y dr 0.0m d.5m wh M( d) u (, d ) + C ( d) u (, d ) + K ( d) u (, d ) M ( d) l ( θ ) f ( ) M ( d) l ( θ ) f ( ) g g g g (50) Fg. 6 shows ha h spac russ doms opmzd wh fxd θ g whl varyg θ g o hr dffr agls. Opmal rsuls from h cas of h appld groud acclrao wh θ g 0, θ g 90 show Fg.. Covrgc hsory of h four-sory buldg. Frs-passag probabls of r-sory drf rao cosras: (a) volum ad (b) frs-passag probably of ach r-sory drf rao. 9
12 J. Chu al. Srucural Safy 76 (09) 8 94 ha h cross-scoal aras of bracgs ad vrcal lms, spcally a a lowr lvl, ar crasd o rduc dsplacms boh x- ad y-drcos ad falur probabls. Also, as h agl θ g bcoms closr o θ g, h opmal volum crass. By chagg θ g from 90 o 60 (or 30 ), h cras h falur probably h x-drco s much hghr ha h dcras h falur probably h y-drco. h opmzd ara of ach lm s plod Fg. 7. A s xpcd, russ mmbrs, whch ar closly algd o h appld groud acclraos ar largd spcally for lowr lvls. hus, russ mmbrs ar szd mor symmrcally boh x- ad y- drcos for groud acclraos wh θ g 0, θ g 90 compard o θ g 30 or θ g 60. Fg. 8(a) ad (b) show covrgc hsors of h volum ad h frs-passag probably. h proposd mhod abls achvg h arg falur probably wh rducd volums. h comparso of dyamc rsposs of h al srucur ad h opmzd srucur s show Fg. 8(c) hrough () udr radomly grad sampls of groud xcaos wh h flr paramrs r- pord abl 3. Ovrall rducos h drf rao h opmzd srucur ar obsrvd, whch aurally rducs h llhood of xcdac of h hrshold valu durg h xcao. 5.. Opmzao of a bracg sysm usg opology opmzao h prvous umrcal applcao of h bracg sysm s cosdrd as sz opmzao for a gv srucural layou. By coras, opology opmzao ca dfy h opmal bracg layou of a srucur. o dmosra hs opmzao udr frs-passag prob- ably cosras, h proposd mhod s appld o h dsg doma udr arhqua xcaos as show Fg. 9(a). Durg h opmzao for mmzg volum, h frs-passag falurs ar d- fd rms of r-sory drf raos a ach lvl, ad a p drf rao a h buldg hgh (s Fg. 9(b) ad (c)). h srucural colums rprsd by wo vrcal ls show Fg. 9(a) ar modld by fram lms whos dss rma uchagd hroughou h opmzao procss. Youg s modulus E,000 MPa ad mass dsy m,400 g/m 3 ar usd as maral proprs for boh h quadrlaral ad fram lms. h addoal mass of 4,000 g s cosdrd a ach floor lvl as show Fg. 9(a). h dampg ma- rx s cosrucd usg a Raylgh dampg modl wh a % dampg rao. abl 4 summarzs h Kaa-am flr paramrs of doma frqucy ω f ad badwdh ζ f, colum sz, h m rval of rs, ad h hrshold valu u 0 of h avrag drf rao a ach m po. h flrg radus r s 0.5 m, ad a prscrbd dsy 0.7 s appld uformly hroughou h msh. opology opmzao rsuls ar show from dffr arg falur probabls of h r-sory drf raos, ad h p-drf rao cosras ar show Fgs. 0 ad. For h p drf rao cosra, h cras h hcsss lowr lvls ad addoal brachs of maral dsrbuos ar obsrvd as h arg falur probabls dcras, whras bracg pos ad opologs rma rlavly h sam for all hr cass udr h p drf rao cosra Fg. 0. O h ohr had, Fg. shows ha cocos of opologs o ach floor lvl ca b chcd for r-sory drf rao cosras xcp h lows lvl. As h arg falur probably s rducd, h scod lows rsco po of bracg ad colum also dcrass lvao, such ha h cas of Fg. (c), h rsco po s o h scod lvl. Irsco pos of bracgs for uppr wo lvls boh cosrad opmzao problms ar a h mdpo of wo fl oors so ha X shaps of bracgs wh 90 ar obsrvd. A lowr lvls, h bracg rsco pos bcom hghr. I addo, hr s a sgfca cras maral dsrbuo lowr lvls of h p dsplacm cosra, whras ovrall hcsss of bracgs hroughou h buldg hgh ar crasd for h r-sory drf rao cosra. hus, opmzao rsuls show ha rforcg lowr rgos wll b a ffc approach o corol h p dsplacm whras adusg ach bracg modul wll lad o succssful dsgs of srucurs fulfllg r-sory drf rao crra (s Fg. ). For cosrucably ad ashc aspc of archcur, a par rpo cosra [ 33, 36] ca b mplmd h proposd framwor. hrfor, dffr chocs rgardg h umbr of pars or sz of h prmary rgo opmzao wll rsul varous opologs, whch ca provd dvrs opos of soluos for h archcural ad grg schmac dsg procss. 6. Summary ad cocludg rmars I hs papr, a opmzao framwor s proposd o corpora h frs-passag probably o sz opmzao ad opology op- mzao of srucurs. Usg h dscr rprsao mhod ad hors of srucural sysm rlably, h f rs-passag probably s compud ffcly durg h opmzao procss wh a propr cosdrao of h sascal dpdc bw compo falur vs. Paramr ssvy formulao of h probablsc cosra o h frs-passag probably s also drvd basd o h ado mhod ad squal compoudg mhod o facla h usag of ffc opmzao algorhms. h dvlopd mhod s succssfully appld o h laral bracg sysm of srucurs subcd o sochasc groud moos o dfy opmal mmbr szs udr grg cosras assocad wh srucural dsg crra such as h srss, h dsplacm as wll as h r-sory drf rao. I h umrcal applcao of h spac russ dom subc o smulaous mulpl arhqua groud moos, h proposd opmzao framwor provds rlabl srucural soluos for varous loadg scaros. Furhrmor, h proposd mhod ca b furhr xdd o cosdr h frs-passag probably cosra cosrucd by com- bg dffr yps of falur vs such as dffr m pos ad locaos as wll as mulpl dsg crra. h opmzd sysm ca whsad fuur ralzao of sochasc procsss wh a dsrd lvl of rlably. I addo, umrcal xampls show ha h proposd opology opmzao framwor ca provd a ffc way for srucural grs o oba opmal dsg soluos ha sasfy probablsc cosras o h sochasc rspos h cocpual (ad schmac) dsg procss. h proposd mhod s basd o h assumpo of a saoary procss for h arhqua groud moos. h sochasc xcao grad by aural hazards (.g. arhquas, hurrcas) ca b osaoary ad/or o-gaussa. hus, fuur rsarch could focus o dvlopms of opmzao framwors udr o-saoary sochasc procsss h m doma as wll as frqucy doma. Acowldgms h auhors grafully acowldg fudg provdd by h Naoal Scc Foudao (NSF) hrough procs 3443 ad h scod auhor acowldgs h suppor from h Isu of Egrg Rsarch a Soul Naoal Uvrsy. h hrd auhor acowldgs suppor from h Raymod All Jos Char a h Gorga Isu of chology. h formao provdd hs papr s h sol opo of h auhors ad dos o cssarly rflc h vws of h sposorg agcs. 9
13 J. Chu al. Srucural Safy 76 (09) 8 94 Appdx A Flowchar of mplmao for RBO of srucurs cosrad by frs-passag probably. Fg. A Fg. A. Flowchar for opology opmzao of a srucur cosrad by frs-passag probably. Rfrcs [] Asadpour A, ooabo M, Gus J. Robus opology opmzao of srucurs wh ucras sff ss applcao o russ srucurs. Compu Sruc 0;89( ):3 4. [] Jas M, Lombar G, Schvls M. Robus opology opmzao of srucurs wh mprfc gomry basd o gomrc olar aalyss. Compu Mhods Appl Mch Eg 05;85: [3] Wag F, Lazarov B, Sgmud O. O proco mhods, covrgc ad robus formulaos opology opmzao. Sruc Muldscp Opm 0;43(6): [4] Mau K, Fragopol DM. Rlably-basd dsg of MEMS mchasms by opology opmzao. Compu Sruc 003;8(8 ):83 4. [5] Fragopol DM, Mau K. Rlably-basd opmzao of cvl ad arospac srucural sysms. Egrg Dsg Rlably Hadboo. Boca Rao, FL: CRC; 005. Chap. 4. [6] sompaas Y, Lagaros ND, Papadraas M. Srucural Dsg Opmzao Cosdrg Ucras. Lodo, UK: aylor & Fracs; 008. [7] Gus JK, Igusa. Srucural opmzao udr ucra loads ad odal locaos. Compu Mhods Appl Mch Eg 008;98():6 4. [8] Rozvay GIN. Exac aalycal soluos for bchmar problms probablsc opology opmzao. I: EgOp 008 Iraoal Cofrc o Egrg Opmzao, Ro d Jaro; 008. [9] Nguy H, Sog J, Paulo GH. Sgl-loop sysm rlably-basd opology opmzao cosdrg sascal dpdc bw lm-sas. Sruc Muldscp Opm 0;44(5): [0] Jalalpour M, Gus JK, Igusa. Rlably-basd opology opmzao of russs wh sochasc sff ss. Sruc Saf 03;43:4 9. [] Salaghh E, Hdar A. Opmum dsg of srucurs agas arhqua by wavl ural wor ad flr bas. Earhqua Eg Sruc Dy 005;34():67 8. [] Kavh A, Farzam M, Kalah M. m-hsory aalyss basd opmal dsg of spac russs: h CMA voluo sragy approach usg GRNN ad WA. Sruc Eg Mch 0;44(3): [3] Flpov E, Chu J, Paulo GH, Sog J. Polygoal mulrsoluo opology opmzao (PolyMOP) for srucural dyamcs. Sruc Muldscp Opm 06;53(4): [4] Chu J, Sog J, Paulo GH. Srucural opology opmzao udr cosras o saaous falur probably. Sruc Muldscp Opm 06;53(4): [5] Dr Kurgha A. h gomry of radom vbraos ad soluos by FORM ad SORM. Probab Eg Mch 000;5():8 90. [6] Dr Kurgha A. Frs- ad scod-ordr rlably mhods. I: Nolads E, Ghocl DM, Sghal S, dors. Chapr 4 Egrg Dsg Rlably Hadboo. Boca Rao, FL: CRC Prss;
14 J. Chu al. Srucural Safy 76 (09) 8 94 [7] Chu J, Sog J, Paulo GH. Sysm rlably basd opology opmzao of srucurs udr sochasc xcaos. I: h Iraoal Cofrc o Srucural Safy & Rlably, Nw Yor, NY; 03. [8] Sog J, Kag WH. Sysm rlably ad ssvy udr sascal dpdc by marx-basd sysm rlably mhod. Sruc Saf 009;3(): [9] Spc SMJ, Goffr M, Karm A. A ffc framwor for h rlably-basd dsg opmzao of larg-scal ucra ad sochasc lar sysms. Probab Eg Mch 06;44:74 8. [0] Bobby S, Spc SMJ, Karm A. Daa-drv prformac-basd opology opmzao of ucra wd-xcd all buldgs. Sruc Muldscp Opm 06;54: [] Vamarc EH. O h dsrbuo of h frs-passag m for ormal saoary radom procsss. J Appl Mch 975;4():5 0. [] Sog J, Dr Kurgha A. Jo frs-passag probably ad rlably of sysms udr sochasc xcao. J Eg Mch 006;3(): [3] Fumura K, Dr Kurgha A. al-quval larzao mhod for olar radom vbrao. Probab Eg Mch 007;(): [4] Kag WH, Sog J. Evaluao of mulvara ormal grals for gral sysms by squal compoudg. Sruc Saf 00;3():35 4. [5] Chu J, Sog J, Paulo GH. Paramr ssvy of sysm rlably usg squal compoudg mhod. Sruc Saf 05;55:6 36. [6] Clough R, Pz J. Dyamcs of Srucurs. Nw Yor: McGraw Hll; 993. [7] Bdsø MP, Sgmud O. opology Opmzao hory, Mhods ad Applcaos. scod d. Brl, Grmay: Egrg Ol Lbrary. Sprgr; 003. [8] Bdsø MP, Sgmud O. Maral rpolao schms opology opmzao. Arch Appl Mch 999;69(9): [9] Sgmud O, Prsso J. Numrcal sabls opology opmzao: a survy o procdurs dalg wh chcrboard, msh-dpdc ad local mma. Sruc Muldscp Opm 998;6: [30] Gus JK, Prvos JH, Blyscho. Achvg mmum lgh scal opology opmzao usg odal dsg varabls ad proco fucos. I J Numr Mh Eg 004;6(): [3] Brus E. A r-valuao of h SIMP mhod wh flrg ad a alrav formulao for sold-vod opology opmzao. Sruc Muldscp Opm 005;30: [3] Sgmud O. Morphology-basd blac ad wh flrs for opology opmzao. Sruc Muldscp Opm 007;33(4):40 4. [33] Almda SRM, Paulo GH, Slva ECN. A smpl ad ffcv vrs proco schm for vod dsrbuo corol opology opmzao. Sruc Muldscp Opm 009;39(4): [34] Cho K, Km N. Srucural Ssvy Aalyss ad Opmzao. Sprgr; 005. [35] Dlvs O, Mads HO. Srucural Rlably Mhods. Chchsr: Wly; 996. [36] Srombrg LL, Bgh A, Bar WF, Paulo GH. Applcao of layou ad opology opmzao usg par gradao for h cocpual dsg of buldgs. Sruc Muldscp Opm 0;43():
CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS
CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS 3. INTRODUCTION Th Ivrs Expoal dsrbuo was roducd by Kllr ad Kamah (98) ad has b sudd ad dscussd as a lfm modl. If a radom varabl
More informationMECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals
MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg
More informationChap 2: Reliability and Availability Models
Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h
More informationControl Systems (Lecture note #6)
6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs
More informationDr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23
BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu
More informationLecture 12: Introduction to nonlinear optics II.
Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal
More informationAlmost unbiased exponential estimator for the finite population mean
Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap
More informationImprovement of the Reliability of a Series-Parallel System Subject to Modified Weibull Distribution with Fuzzy Parameters
Joural of Mahmacs ad Sascs Rsarch Arcls Improvm of h Rlably of a Srs-Paralll Sysm Subjc o Modfd Wbull Dsrbuo wh Fuzzy Paramrs Nama Salah Youssf Tmraz Mahmacs Dparm, Faculy of Scc, Taa Uvrsy, Taa, Egyp
More informationGauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year
Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco
More informationAlmost Unbiased Exponential Estimator for the Finite Population Mean
Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors
More informationDelay-Dependent State Estimation for Time Delay Systems
WSEAS TRANSACTIONS o SYSTEMS ad CONTROL Mohammad Al Pakzad, Bja Moav Dlay-Dpd Sa Esmao for Tm Dlay Sysms MOHAMMAD ALI PAKZAD Dparm of Elcrcal Egrg Scc ad Rsarch Brach, Islamc Azad Uvrsy Thra IRAN m.pakzad@srbau.ac.r
More informationSeries of New Information Divergences, Properties and Corresponding Series of Metric Spaces
Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya
More informationReliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution
raoal Joural of Sascs ad Ssms SSN 97-675 Volum, Numbr 7,. 575-58 sarch da Publcaos h://www.rublcao.com labl aalss of m - dd srss - srgh ssm wh h umbr of ccls follows bomal dsrbuo T.Sumah Umamahswar, N.Swah,
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of
More informationAlgorithms to Solve Singularly Perturbed Volterra Integral Equations
Avalabl a hp://pvamudu/aam Appl Appl Mah ISSN: 9-9 Vol Issu Ju pp 9-8 Prvousl Vol Issu pp Applcaos ad Appld Mahmacs: A Iraoal Joural AAM Algorhms o Solv Sgularl Prurbd Volrra Igral Equaos Marwa Tasr Alqura
More informationComputational Simulations and Experiments on Vibration Control of a Flexible Two-link Manipulator Using a Piezoelectric Actuator
Egrg Lrs, 3:3, EL_3_3_ Compuaoal Smulaos ad Exprms o Vbrao Corol of a Flxbl Two-lk Mapulaor Usg a Pzolcrc Acuaor Abdul Kadr Muhammad, Shgo Okamoo, Ja Hoo L, Mmbrs, IAENG Absrac Th purposs of hs rsarch
More information8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system
8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug
More informationSTRUCTURAL FAULT DETECTION OF BRIDGES BASED ON LINEAR SYSTEM PARAMETER AND MTS METHOD
Joural of JSCE, Vol., 3-43, 03 STRUCTURAL FAULT DETECTION OF BRIDGES BASED ON LINEAR SYSTEM PARAMETER AND MTS METHOD Chul-Woo KIM, Ro ISEMOTO, Kuomo SUGIURA 3 ad Msuo KAWATANI 4 Mmbr of JSCE, Profssor,
More informationVariable Satellite Usage in GPS Receivers
Procdgs of h orld Cogrss o grg ad Compur Scc 00 Vol I CCS 00, Ocobr 0-, 00, Sa Fracsco, USA Varabl Sall Usag GPS Rcvrs L Dg, Hyosop L, Ha Yu, Drrc Crwsy, X L, ad Crag C. Douglas, Mmbr, IANG Absrac Cosumr
More informationInference on Curved Poisson Distribution Using its Statistical Curvature
Rsarch Joural of Mahacal ad Sascal Sccs ISSN 3 647 ol. 5 6-6 Ju 3 Rs. J. Mahacal ad Sascal Sc. Ifrc o Curvd Posso Dsrbuo Usg s Sascal Curvaur Absrac Sal Babulal ad Sadhu Sachaya Dpar of sascs Th Uvrsy
More informationMathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem
Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao
More informationA NOVEL DIFFERENCE EQUATION REPRESENTATION FOR AUTOREGRESSIVE TIME SERIES
Joural of Thorcal ad Appld Iformao Tchology h Spmbr 4. Vol. 67 No. 5-4 JATIT & LLS. All rghs rsrvd. ISSN: 99-8645 www.a.org E-ISSN: 87-395 A NOVEL DIFFERENCE EQUATION REPRESENTATION FOR AUTOREGRESSIVE
More informationChapter 4. Continuous Time Markov Chains. Babita Goyal
Chapr 4 Couous Tm Markov Chas Baba Goyal Ky words: Couous m sochasc procsss, Posso procss, brh procss, dah procss, gralzd brh-dah procss, succssv occurrcs, r-arrval m. Suggsd radgs:. Mdh, J. (996, Sochasc
More informationSurvival Analysis for Randomized Clinical Trials II Cox Regression. Ziad Taib Biostatistics AstraZeneca February 26, 2008
Survval alyss for Raomz Clcal rals II Cox Rgrsso a ab osascs sraca Fbruary 6, 8 la Irouco o proporoal azar mol H aral lkloo Comparg wo groups umrcal xampl Comparso w log-rak s mol xp z + + k k z Ursag
More informationIntroduction to Laplace Transforms October 25, 2017
Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl
More informationTwo-Dimensional Quantum Harmonic Oscillator
D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr
More information3.4 Properties of the Stress Tensor
cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato
More informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data
More informationConsider a system of 2 simultaneous first order linear equations
Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm
More informationPhys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time
Phys 31. No. 3, 17 Today s Topcs Cou Chap : lcomagc Thoy, Phoos, ad Lgh Radg fo Nx Tm 1 By Wdsday: Radg hs Wk Fsh Fowls Ch. (.3.11 Polazao Thoy, Jos Macs, Fsl uaos ad Bws s Agl Homwok hs Wk Chap Homwok
More informationReliability of time dependent stress-strength system for various distributions
IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,
More informationMajor: All Engineering Majors. Authors: Autar Kaw, Luke Snyder
Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr
More informationOn the Existence and uniqueness for solution of system Fractional Differential Equations
OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o
More informationASYMPTOTIC BEHAVIOR OF FINITE-TIME RUIN PROBABILITY IN A BY-CLAIM RISK MODEL WITH CONSTANT INTEREST RATE
Joural of Mahmacs ad Sascs 3: 339-357 4 ISSN: 549-3644 4 Scc Publcaos do:.3844/mssp.4.339.357 Publshd Ol 3 4 hp://www.hscpub.com/mss.oc ASYMPTOTIC BEHAVIOR OF FINITE-TIME RUIN PROBABILITY IN A BY-CLAIM
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationExtinction risk depends strongly on factors contributing to stochasticity
co rs dpds srogly o facors corbug o sochascy r A. Mlbour & Ala Hasgs 2 parm of cology ad voluoary ology Uvrsy of Colorado ouldr CO 839 USA 2 parm of vromal Scc ad Polcy Uvrsy of Calfora avs CA 9566 USA
More informationAsymptotic Behavior of Finite-Time Ruin Probability in a By-Claim Risk Model with Constant Interest Rate
Th Uvrsy of Souhr Msssspp Th Aqula Dgal Commuy Sud ublcaos 8-5-4 Asympoc Bhavor of F-Tm Ru robably a By-Clam Rs Modl wh Cosa Irs Ra L Wag Uvrsy of Souhr Msssspp Follow hs ad addoal wors a: hps://aqula.usm.du/sud_pubs
More informationUnbalanced Panel Data Models
Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr
More informationCreep of LVL and Its Effect on the Structures
Crp of LVL ad Is Effc o h Srucurs H. Z. Zhou PhD Sud Harb Isu of Tchology Harb, Cha E. C. Zhu Profssor Harb Isu of Tchology Harb, Cha S. W. Wag Egr Cha Souhws Archcural Dsg ad Rsarch Isu Chgdu, Cha Summary
More informationRELIABILITY STOCHASTIC MODELING FOR REPAIRABLE PHYSICAL ASSETS. CASE STUDY APPLIED TO THE CHILEAN MINING
Rlably Sochasc Modlg for Rparabl Physcal Asss. Cas sudy appld o h Chla Mg P. Vvros, A. Crspo, R. Tapa, F. Krsjapollr, V. Gozálz-Prda RELIABILITY STOCHASTIC MODELING FOR REPAIRABLE PHYSICAL ASSETS. CASE
More informationThe Method of Steepest Descent for Feedforward Artificial Neural Networks
IOSR Joural o Mahac (IOSR-JM) -ISSN: 78-578, p-issn:39-765x. Volu, Iu Vr. II. (F. 4), PP 53-6.oroural.org Th Mhod o Sp Dc or Fdorard Arcal Nural Nor Muhaad Ha, Md. Jah Udd ad Md Adul Al 3 Aoca Proor, Dpar
More informationEE 232 Lightwave Devices. Photodiodes
EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu
More informationResponse of LTI Systems to Complex Exponentials
3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will
More informationRuin Probability in a Generalized Risk Process under Rates of Interest with Homogenous Markov Chain Claims
ahmaca Ara, Vl 4, 4, 6, 6-63 Ru Prbably a Gralzd Rs Prcss udr Ras f Irs wh Hmgus arv Cha Clams Phug Duy Quag Dparm f ahmcs Frg Trad Uvrsy, 9- Chua Lag, Ha, V Nam Nguy Va Vu Tra Quc Tua Uvrsy Nguy Hg Nha
More informationLet's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =
L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (
More informationMellin Transform Method for the Valuation of the American Power Put Option with Non-Dividend and Dividend Yields
Joural of Mahmacal Fac, 5, 5, 49-7 Publshd Ol Augus 5 ScRs. h://www.scr.org/joural/jmf h://dx.do.org/.436/jmf.5.533 Mll Trasform Mhod for h Valuao of h Amrca Powr Pu Oo wh No-Dvdd ad Dvdd Ylds Suday Emmaul
More informationAkpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions
IOSR Joural o Elcrcal ad Elcrocs Egrg IOSR-JEEE -ISSN: 78-676,p-ISSN: 3-333, Volu, Issu 5 Vr. III Sp - Oc 6, PP 9-96 www.osrourals.org kpa s lgorh o Dr Sa Traso Marx ad Soluo o Dral Euaos wh Mxd Ial ad
More informationOn Thermal and State-of-Charge Balancing using Cascaded Multi-level Converters
Joural of Powr Elcrocs Vol. 13 No. 4 July 013 569 JPE 13-4-8 hp:// dx.do.org/10.6113/jpe.013.13.4.569 O hrmal ad Sa-of-Charg Balacg usg Cascadd Mul-lvl Covrrs Fasal Alaf ars Johasso * ** ad Bo Egard *
More informationContinous system: differential equations
/6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio
More informationNHPP and S-Shaped Models for Testing the Software Failure Process
Irol Jourl of Ls Trds Copug (E-ISSN: 45-5364 8 Volu, Issu, Dcr NHPP d S-Shpd Modls for Tsg h Sofwr Flur Procss Dr. Kr Arr Asss Profssor K.J. Soy Isu of Mg Suds & Rsrch Vdy Ngr Vdy Vhr Mu. Id. dshuh_3@yhoo.co/rrr@ssr.soy.du
More informationChapter 5 Transient Analysis
hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r
More informationThe rise of neural networks. Deep networks. Why many layers? Why many layers? Why many layers? 24/03/2017
Th rs of ural ors I h md-s, hr has b a rsurgc of ural ors, mal du o rasos: hgh compuaoal por bcam avalabl a lo cos va gral-purpos graphcs procssg us (GPGPUs). maor plars l Googl, crosof, ad Facboo, dd
More informationQuantum Theory of Open Systems Based on Stochastic Differential Equations of Generalized Langevin (non-wiener) Type
ISSN 063-776 Joural of Exprmal ad Thorcal Physcs 0 Vol. 5 No. 3 pp. 3739. Plads Publshg Ic. 0. Orgal Russa Tx A.M. Basharov 0 publshd Zhural Esprmal o Torchso Fz 0 Vol. 4 No. 3 pp. 4944. ATOMS MOLECULES
More informationComputing OWA weights as relevance factors
Compug OWA wghs as rlvac facors Agl Caţaro Dparm of Elcrocs ad Compurs, TRANSILVANIA Uvrsy of Braşov, Romaa -mal: caaro@vgaubvro Răzva Ado Compur Scc Dparm, Cral Washgo Uvrsy, Ellsburg, USA -mal: ado@cwudu
More informationSimulation of coupled nonlinear electromagnetic heating with the Green element method
Advacd Copuaoal Mhods Ha rasfr IX 77 Sulao of coupld olar lcroagc hag wh h Gr l hod A. E. agbu School of Cvl ad Evroal Egrg, Uvrs of h Wwarsrad, Johasburg, Souh Afrca Absrac h olar coupld dffral uaos ha
More informationThe Variance-Covariance Matrix
Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o
More informationAnouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More informationISSN No. (Print) :
Iraoal Joural o Emrgg Tchologs (Scal Issu NCETST-07) 8(): 88-94(07) (Publshd by Rsarch Trd, Wbs: www.rsarchrd.) ISSN No. (Pr) : 0975-8364 ISSN No. (Ol) : 49-355 Comarso bw Baysa ad Mamum Lklhood Esmao
More informationPart B: Transform Methods. Professor E. Ambikairajah UNSW, Australia
Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio
More informationIMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING
Joural of Rlal ad asal uds; I (Pr: 097-80, (Ol:9- ol., Issu (0: - IPUAIO UIG RGRIO IAOR FOR IAIG POPUAIO A I WO-PHA APIG ardra gh hakur, Kalpaa adav ad harad Pahak r for ahmaal s (, Baashal Uvrs, Rajasha,
More informationIS THE MINIMUM-TRACE DATUM DEFINITION THEORETICALLY CORRECT AS APPLIED IN COMPUTING 2D AND 3D DISPLACEMENTS?
Procdgs, h FIG Symposum o Dformao asurms, Saor, Grc, 003. IS HE INIU-RACE DAU DEFINIION HEOREICALLY CORREC AS APPLIED IN COPUING D AND 3D DISPLACEENS? Wold Prószyńsk Isu of Appld Godsy, Warsaw Uvrsy of
More informationEMPIRICAL STUDY IN FINITE CORRELATION COEFFICIENT IN TWO PHASE ESTIMATION
MPIRIAL TDY I FIIT ORRLATIO OFFIIT I TWO PHA TIMATIO M. Khohva Lcurr Grffh vry chool of Accoug ad Fac Aurala. F. Kaymarm Aa Profor Maachu Iu of Tchology Dparm of Mchacal grg A; currly a harf vry Thra Ira.
More informationRepeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space.
Rpatd Trals: As w hav lood at t, th thory of probablty dals wth outcoms of sgl xprmts. I th applcatos o s usually trstd two or mor xprmts or rpatd prformac or th sam xprmt. I ordr to aalyz such problms
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More information9. Simple Rules for Monetary Policy
9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc
More informationOn nonnegative integer-valued Lévy processes and applications in probabilistic number theory and inventory policies
Amrca Joural of Thorcal ad Appld Sascs 3; (5: - Publshd ol Augus 3 3 (hp://wwwsccpublshggroupcom/j/ajas do: 648/jajas35 O ogav gr-valud Lévy procsss ad applcaos probablsc umbr hory ad vory polcs Humg Zhag
More informationCOMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES
COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld
More informationChain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE
d Fr Flw OULE IC YE YE OLY-EEL YE Oubard wh d s (d ) s usd fr fr flw vya. Usually w srads ar usd h qupm. d s basd sadard rllr ha wh sd rllrs salld xdd ps. hr ar hr yps f bas ha: (1) ubl ph rllr ha wh sadard
More informationOn the Class of New Better than Used. of Life Distributions
Appld Mahacal Sccs, Vol. 6, 22, o. 37, 689-687 O h Class of Nw Br ha Usd of Lf Dsrbos Zohd M. Nofal Dpar of Sascs Mahacs ad Israc Facl of Corc Bha Uvrs, Egp dr_zofal@hoal.co Absrac So w rsls abo NBU3 class
More informationPhase Wise Supply Chain Model of EOQ with Normal Life Time for Queued Customers: A Computational Approach
Amrca Joural of Opraos Rsarch, 0,, 96-307 hp://dx.do.org/0.436/ajor.0.3036 Publshd Ol Spmbr 0 (hp://www.scrp.org/joural/ajor) Phas Ws Supply Cha Modl of EOQ wh Normal Lf Tm for Quud Cusomrs: A Compuaoal
More informationFourier Series: main points
BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca
More informationTopology Optimization of Structures under Constraints on First Passage Probability
Topology Opmzao of Srucures uer Cosras o Frs Passage Probably Juho Chu Docoral Sue, Dep. of Cvl a Evromeal Egeerg, Uv. of Illos, Urbaa-Champag, USA Juho Sog Assocae Professor, Dep. of Cvl a Evromeal Egeerg,
More informationState Observer Design
Sa Obsrvr Dsgn A. Khak Sdgh Conrol Sysms Group Faculy of Elcrcal and Compur Engnrng K. N. Toos Unvrsy of Tchnology Fbruary 2009 1 Problm Formulaon A ky assumpon n gnvalu assgnmn and sablzng sysms usng
More informationBy choosing to view this document, you agree to all provisions of the copyright laws protecting it.
oyrh I. Rrd from " PRODING Aual RLIAILITY ad MAINTAINAILITY ymosum" UA Jauary -. Ths maral s osd hr wh rmsso of h I. uch rmsso of h I dos o ay way mly I dorsm of ay of Rlaof ororao's roducs or srvcs. Iral
More informationUTACO: A Unified Timing and Congestion Optimizing Algorithm for Standard Cell Global Routing*
UTACO: A Ud Tmg ad Cogso Opmzg Algorhm or Sadard Cll Gloal Roug* Tog Jg, Xalog Hog, Hayu Bao, Yc Ca, Jgyu Xu, Chugkua Chg Ju Gu Dp. o CST Dp. o CSE Dp. o CS Tsghua Uv. UC, Sa Dgo HK Uv. o S&T Bg 84, P.
More informationDepartment of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis
Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..
More informationClassification. Linear Classification. What is a Linear Disciminant? Representing Classes. Decision Boundaries. What can be expressed?
Classfcao Lar Classfcao Ro Parr CPS 7 Survsd larg framork Faurs ca b ayhg args ar dscr classs: Saf mushrooms vs. osoous Malga vs. bg Good crd rsk vs. bad Ca ra classs as umbrs? Sgl class? Mul class? Wh
More informationε = R d ρ v ρ d ρ m CIVE322 BASIC HYDROLOGY I O = ds dt e s ( 1 T )] (T ) = 611exp[ L R v = = P + R 1 ΔS s + R g R 2 T s I E s
CVE3 BSC HYDROOGY Hydrlgc Scc ad Egrg Cvl ad Evrmal Egrg Dparm Fr Clls, CO 853-37 Fall (97 49-76 Hydrlgc Budg Equas O ds d S ds d O d S ΔS s P + R R + R g E s s Saura vapr prssur s ( 6xp[ ( 73.5 ] ε.6
More informationRobust Adaptive Control of Voltage Saturated Flexible Joint Robots with Experimental Evaluations
AU Joural of Modl ad Smulao AU J. Modl. Smul., 5((83-38 OI:.6/mscj.7.74.58 Rous Adapv orol of Vola Saurad Flxl Jo Roos wh Exprmal Evaluaos A. Izadakhsh * parm of Elcrcal Er, Garmsar Brach, Islamc Azad
More informationHence, Consider the linear, time-varying system with state model. y( t) u(t) H(t, )
Df. h mpul rpo mar of a lar, lumpd, m-varyg ym a mar map H, : RR R rm gv by H, = [h,,, h m, ], whr ach colum h, rpr h rpo of h ym o h mpulv pu u = -, R m, = [ ] occur a h h compo, h m of applcao of h pu
More informationcounting statistics in thermal transport in nanojunctions
rs bhvor d fll cog sscs hrml rspor ojcos J-Shg Wg Dp PhysNUS Ol of h lk rodco Mhod of oqlbrm r s fcos Applcos hrml crrs D ch d obs rs problm Fll cog sscs MS workshop Forr s lw for h codco J [ ] f f d Forr
More informationLECTURE 6 TRANSFORMATION OF RANDOM VARIABLES
LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt
More informationOverview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining
Ovrv Iroduco o ar Rcogo ad Daa Mg Lcur 4: Lar Dcra Fuco Irucor: Dr. Gova Dpar of Copur Egrg aa Clara Uvry Iroduco Approach o uldg clafr Lar dcra fuco: dfo ad urfac Lar paral ca rcpro crra Ohr hod Lar Dcra
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationSummary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns
Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral
More informationBoyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues
BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A
More informationSupplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.
Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s
More informationNumerical modelling of quasi-brittle fracture with the rate-dependent multiple embedded discontinuity approach
Ra Maa Joural of Srucural Mchacs Vol. 49 o 2 206 pp. 25-35 rmsura..f/rmlh/ Th Auhors 206. Op accss ur CC BY-SA 4.0 lcs. umrcal mollg of quas-brl fracur wh h ra-p mulpl mb scouy approach Tmo Sasala Summary.
More informationSpecial Curves of 4D Galilean Space
Irol Jourl of Mhml Egrg d S ISSN : 77-698 Volum Issu Mrh hp://www.jms.om/ hps://ss.googl.om/s/jmsjourl/ Spl Curvs of D ll Sp Mhm Bkş Mhmu Ergü Alpr Osm Öğrmş Fır Uvrsy Fuly of S Dprm of Mhms 9 Elzığ Türky
More informationNumerical Method: Finite difference scheme
Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationExistence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems
Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud
More informationFault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview
Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos
More informationQuantum Harmonic Oscillator
Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu
More informationAN APPROXIMATE SOLUTION FOR THE PLANE WAVE DIFFRACTION BY AN IMPEDANCE STRIP: H-POLARIZATION CASE
Ayd, E A; İk, T Okvro rjšj a dfrakcju ravog vala mpdacjskom rakom: slučaj H-polaracj ISSN 86-668 (Pr), ISSN 88-5588 (Ol) ID: TG-63 AN APPROXIMATE SOLUTION FOR THE PLANE WAVE DIFFRACTION BY AN IMPEDANCE
More informationModeling of stock indices with HMM-SV models
Thorcal ad Appld Ecoomcs Volum XXIV 7 No. 6 Summr pp. 45-6 Modlg of sock dcs wh HMM-SV modls E.B. NKEMNOLE Urs of Lagos Ngra kmol@ulag.du.g J.T. WULU Urs of Marlad Urs Collg USA joh.wulu@facul.umuc.du
More informationOn the Possible Coding Principles of DNA & I Ching
Sctfc GOD Joural May 015 Volum 6 Issu 4 pp. 161-166 Hu, H. & Wu, M., O th Possbl Codg Prcpls of DNA & I Chg 161 O th Possbl Codg Prcpls of DNA & I Chg Hupg Hu * & Maox Wu Rvw Artcl ABSTRACT I ths rvw artcl,
More information