Seismic reliability analysis of random parameter aqueduct structure under random earthquake

Seismic reliability analysis of bridge structures during and succeeding an earthquake event is of significant importance. The more accurate and robust approach of seismic reliability analysis is based on direct Monte Carlo simulation technique. But it is computationally challenging due to the requirement of large number of nonlinear time history analyses. The response surface method–based metamodeling approach is a viable alternative in such situation. This study explores the advantage of moving least squares method–based adaptive response surface method compared to the usually applied least squares method–based response surface method for improved seismic reliability analysis of multi-span bridge pier. The nonlinear time history analyses of the bridge pier are performed in the OpenSees with fibre sections considering a ground motion bin corresponding to the specified hazard level of the bridge site. The seismic reliability analysis results obtained by the usual least squares method and the proposed moving least squares method–based response surface method are compared with that of obtained by more accurate direct Monte Carlo simulation technique to elucidate the effectiveness of the proposed approach.

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Structural Seismic Reliability Analysis

Encyclopedia of Earthquake Engineering ◽

10.1007/978-3-642-35344-4_280 ◽

2015 ◽

pp. 3642-3661

Author(s):

Shankar Sankararaman

Keyword(s):

Reliability Analysis ◽

Seismic Reliability

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Seismic Reliability Analysis of Existing Structures Based on Fuzzy Probability

Reliability and Safety Analyses under Fuzziness ◽

10.1007/978-3-7908-1898-7_21 ◽

1995 ◽

pp. 326-340 ◽

Cited By ~ 1

Author(s):

Hitoshi Furuta ◽

Masata Sugito ◽

Shin-ya Yamamoto ◽

Naruhito Shiraishi

Keyword(s):

Reliability Analysis ◽

Fuzzy Probability ◽

Seismic Reliability ◽

Existing Structures

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Seismic Reliability Analysis in the Framework of Metamodelling Based Monte Carlo Simulation

Modeling and Simulation Techniques in Structural Engineering - Advances in Civil and Industrial Engineering ◽

10.4018/978-1-5225-0588-4.ch006 ◽

2017 ◽

pp. 192-208 ◽

Cited By ~ 1

Author(s):

Shyamal Ghosh ◽

Soham Mitra ◽

Swarup Ghosh ◽

Subrata Chakraborty

Keyword(s):

Least Squares ◽

Reliability Analysis ◽

Response Surface ◽

Seismic Response ◽

Least Squares Method ◽

Response Prediction ◽

Seismic Intensity ◽

Seismic Reliability ◽

Moving Least Squares Method ◽

Artificial Neural Network Ann

A comparative study of various metamodelling approaches namely the least squares method (LSM), moving least squares method (MLSM) and artificial neural network (ANN) based response surface method (RSM) are presented to demonstrate the effectiveness to approximate the nonlinear dynamic response of structure required for efficient seismic reliability analysis (SRA) of structures. The seismic response approximation by the LSM, MLSM and ANN based RSMs are explained with a brief note on the important issue of ground motion bin generation. The procedure adopted herein for SRA is based on the dual response surface approach. In doing so, the repetition of seismic intensity for SRA at different intensity levels is avoided by including this as one of the predictors in the seismic response prediction model. A nonlinear SDOF system has been taken up to elucidate the effectiveness of various metamodels in SRA.

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