RESEARCH OF THE SEISMIC FRAGILITY OF STRUCTURE BASED ON LINEAR LOGISTIC REGRESSION MODEL

Liu Xiaoxiao; Wu Ziyan; Sun Hongbin; Wang Qiang

doi:10.13204/j.gyjz201308009

Volume 43 Issue 8

Dec. 2014

Turn off MathJax

Article Contents

Article Navigation > INDUSTRIAL CONSTRUCTION > 2013 > 43(8): 43-47,105

Liu Xiaoxiao, Wu Ziyan, Sun Hongbin, Wang Qiang. RESEARCH OF THE SEISMIC FRAGILITY OF STRUCTURE BASED ON LINEAR LOGISTIC REGRESSION MODEL[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(8): 43-47,105. doi: 10.13204/j.gyjz201308009

Citation:

Liu Xiaoxiao, Wu Ziyan, Sun Hongbin, Wang Qiang. RESEARCH OF THE SEISMIC FRAGILITY OF STRUCTURE BASED ON LINEAR LOGISTIC REGRESSION MODEL[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(8): 43-47,105. doi: 10.13204/j.gyjz201308009

Citation:

PDF( 0 KB)

RESEARCH OF THE SEISMIC FRAGILITY OF STRUCTURE BASED ON LINEAR LOGISTIC REGRESSION MODEL

doi: 10.13204/j.gyjz201308009

1.
School of Mechanics and Civil Engineering &Architecture,Northwestern Polytechnical University,Xi’an 710129,China

Received Date: 2013-04-15
Publish Date: 2013-08-20

Abstract

Abstract

A fragility evaluation methodology for bridge is proposed, based on logistic regression model.The methodology incorporates randomness of structural physical parameters and statistical dependence among response values.Using Monte Carlo simulation and random time history analysis, randomness of structural physical parameters was considered.Statistical dependence among response values was plored by Beta-binomial distribution, then logistic regression model was set up to analyse structure fragility.A two-span continuous concrete girder bridge was used as an example to illustrate the approach.Structure physical parameters with design drawings were taken as mean, and an appropriate standard deviation was selected for Monte Carlo simulation which can obtain parameter samples.Random time history analysis was done to get the sample of maximum values of responses, moment estimation and least square were used to obtain respectively Beta-binomial distribution and the unknown parameters of the logistic regression model, then the structure fragility curve under each level failure state was got and compared with fragility curve based on cumulative limit state valve.The results show that the proposed method can achieve a conservative fragility estimation, and better ensure the rationality of the prediction results, providing theoretical evidence for bridge damage detection.
- structure fragility,
- logistic regression model,
- statistical dependence,
- randomness of physical parameters,
- Monte Carlo,
- random time history analysis

FullText(HTML)

References(14)

References

[2] Shinozuka M, Feng M Q, Lee J, et al. Statistical Analysis of?FRagility CuRves [J].JouRnal of EngineeRing Mechanics, ASCE,2000,126(12):1224－1231.

Basoz N, KiRemidjian A S.Risk Assessment of BRidges and?Highway Systems fRom the NoRthRidge EaRthquake [C]//SacRamento, CalifoRnia: PRoceedings of the National Seismic?ConfeRence on BRidges and Highways.1997:65－79.

[3] Tanaka S, Kameda H, Nojima N, et al. Evaluation of Seismic?FRagility foR Highway TRanspoRtation Systems [C]∥PRoceedings of?the 12th WoRld ConfeRence on EaRthquake EngineeRing. New?Zealand:2000:2－6.

[4] CimellaRo G P,ReinhoRn A M, BRuneau M, et al. MultiDimensional FRagility of StRuctuRe FoRmulation and Evaluation [R].RepoRt No. MCEER－06－0002, New YoRk: MultidisciplinaRy?CenteR foR EaRthquake EngineeRing ReseaRch,2006.

[5] Hwang H,刘晶波.地震作用下钢筋混凝土桥梁结构易损性分析[J].土木工程学报,2004,37(6):48－51.

[6] Daniel S, ARmen D K. Seismic Reliability Assessment of?InfRastRuctuRe Systems Based on FRagility Models [C]//Applications of Statistics and PRobability in Civil EngineeRingPRoceedings of the 10th InteRnational ConfeRence on Applications of?Statistics and PRobability.2007:435－436.

[7] Williams D A. ExtRa-Binomial VaRiation in Logistic LineaR Models [J].Applied Statistics,1982,31(2):144－148.

[8] PooRtema K. On Modelling OveRdispeRsion of Counts [J].Statistica NeeRlandica,1999,53(1):5－20.

[9] 张新培.钢筋混凝土抗震结构非线性分析[M].北京:科学出版社,2003:99－101.

[10] Daniel S, ARmen D K. Seismic FRagility Modeling fRom EmpiRical?Data[J].StRuctuRal Safety,2008,30(4):320－336.

[11] Wang Q, Wu Z, Liu S. Seismic FRagility Analysis of Highway?BRidges ConsideRing Multi-Dimensional PeRfoRmance Limit State [J].EaRthquake EngineeRing and EngineeRing VibRation,2012,11(2):185－193.

[12] SeRdaR S. Health MonitoRing of Existing StRuctuRe[D].CalifoRnia:?UniveRsity of CalifoRnia, IRvine,2007.

[13] Shinozuka M, BaneRjee S. Damage Modeling of ReinfoRced?ConcRete BRidges [D].Las Vegas, NV: UniveRsity of CalifoRnia,?IRvine ,2005.

[14] Dutta A, MandeR J B.Rapid and Detailed Seismic FRagility?Analysis of Highway BRidges [R].New YoRk: MultidisciplinaRy?CenteR foR EaRthquake EngineeRing ReseaRch,2001.

Relative Articles

Supplements(0)

Cited By

Proportional views