Reliability Analysis using Genetic Algorithm under Seismic Load

Mohammad Arastu; T.K. Datta

doi:10.5958/2349-2988.2015.00002.9

Research Journal of Science and Technology

ISSN

2349-2988 (Online)
0975-4393 (Print)

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Reliability Analysis using Genetic Algorithm under Seismic Load

Author(s): Mohammad Arastu, T.K. Datta

Email(s): mohd_arastu@yahoo.com , tkdatta@ iitd.com

DOI: 10.5958/2349-2988.2015.00002.9

Address: Mohammad Arastu1, Prof. T.K. Datta2
1Earthquake Engineering at Jamia Millia Islamia University, New Delhi, India.
2 Indian Institute of Technology, New Delhi, India.
*Corresponding Author

Published In: Volume - 7, Issue - 1, Year - 2015

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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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Cite this article:
Mohammad Arastu, T.K. Datta. Reliability Analysis using Genetic Algorithm under Seismic Load. Research J. Science and Tech. 7(1): Jan.-Mar. 2015; Page 09-13. doi: 10.5958/2349-2988.2015.00002.9

Cite(Electronic):
Mohammad Arastu, T.K. Datta. Reliability Analysis using Genetic Algorithm under Seismic Load. Research J. Science and Tech. 7(1): Jan.-Mar. 2015; Page 09-13. doi: 10.5958/2349-2988.2015.00002.9 Available on: https://rjstonline.com/AbstractView.aspx?PID=2015-7-1-2