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Research Journal of Science and Technology
Year : 2015, Volume : 7, Issue : 1
First page : ( 09) Last page : ( 13)
Print ISSN : 0975-4393. Online ISSN : 2349-2988.
Article DOI : 10.5958/2349-2988.2015.00002.9

Reliability Analysis using Genetic Algorithm under Seismic Load

Arastu Mohammad1,*, Prof. Datta T.K.2,**

1Earthquake Engineering, Jamia Millia Islamia University, New Delhi, India

2Indian Institute of Technology, New Delhi, India

*Corresponding Author E-mail: mohd_arastu@yahoo.com

**tkdatta@iitd.com

Online published on 25 June, 2015.

Abstract

The aim of present study is to propose a procedure for reliability analysis using Genetic Algorithm (GA) under seismic loading using Monte Carlo Simulation (MCS). GA is used as a tool for increasing computer efficiency. The procedure is specially referred as Genetic Algorithm Aided Reliability Analysis (GAAR Analysis) to solve problems of structural reliability. Chimney subjected to seismic loading is taken as examples for calculating structural reliability using the GAAR Analysis and comparison is made with conventional MCS method of reliability analysis. The results obtained for realistic structural problem indicates the applicability of the proposed procedure. A computer program is developed in MATLAB for GAAR Analysis.

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Keywords

Genetic Algorithm, Importance Sampling, Monte Carlo Simulation, MATLAB, Reliability Analysis, Seismic Loading.

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