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Simulation techniques for reliability evaluation - a case study

DSpace at IIT Bombay

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Title Simulation techniques for reliability evaluation - a case study
 
Creator SRIVIDYA, A
SHANTHARAJU, K
 
Subject simulation
reliability
degradation
flexure
compression
 
Description Reliability evaluation of structural components using Monte Carlo Simulation (MCS) method provides very accurate values. However, time complexity is high for failure probability calculations using MCS method, as the sample size required is generally large. Variance reduction techniques like Importance Sampling Method (ISM) and Adaptive Sampling Method (ASM) reduce time complexity. The case of cylindrical water tank considering failure of beams in flexure and columns in axial compression is presented here and failure probabilities of beams and columns are evaluated using the simulation techniques of Monte Carlo, Importance sampling and Adaptive sampling.
 
Publisher ACTA PRESS
 
Date 2011-10-26T19:11:59Z
2011-12-15T09:12:28Z
2011-10-26T19:11:59Z
2011-12-15T09:12:28Z
2004
 
Type Proceedings Paper
 
Identifier Proceedings of the Fifteenth IASTED International Conference on Modelling and Simulation,327-331
0-88986-391-1
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16099
http://hdl.handle.net/100/2684
 
Source 15th IASTED International Conference on Modelling and Simulation,Marina Del Rey, CA,MAR 01-03, 2004
 
Language English