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Reliability Analysis using Genetic Algorithm under Seismic Load

Authors :
T.K. Datta
Mohammad Arastu
Source :
Research Journal of Science and Technology. 7:09
Publication Year :
2015
Publisher :
A and V Publications, 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.

Details

ISSN :
23492988 and 09754393
Volume :
7
Database :
OpenAIRE
Journal :
Research Journal of Science and Technology
Accession number :
edsair.doi...........51da870ea988c8313aaa6acd2003c512
Full Text :
https://doi.org/10.5958/2349-2988.2015.00002.9