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contributor authorBilal M. Ayyub
contributor authorAchintya Haldar
date accessioned2017-05-08T20:51:17Z
date available2017-05-08T20:51:17Z
date copyrightAugust 1984
date issued1984
identifier other%28asce%290733-9445%281984%29110%3A8%281707%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/29366
description abstractCommonly‐used structural reliability models are reviewed, and the advantages and limitations of each method are discussed with the help of a practical example. A pressure vessel is designed against wind loading. This example is selected because the limit state equation is nonlinear and the wind speed has an extremely skewed distribution. Although the First‐Order Second‐Moment may be sufficient in many problems, the risk involved may still be unknown, even in a relative sense, unless the limit state equation is linear and all the variables are normal. In that sense, the Advanced Second‐Moment method has several advantages. It yields probabilities of failure similar to the variance reduction techniques, at least for the pressure vessel example considered here. If simulation techniques are used to study a problem, some kind of variance reduction technique should be used for economic reasons. For the complicated example considered here, the Conditional Expectation plus Antithetic Variates variance reduction technique is found to be the most efficient. The Monte Carlo Simulation technique is modified to make the simulation more efficient.
publisherAmerican Society of Civil Engineers
titlePractical Structural Reliability Techniques
typeJournal Paper
journal volume110
journal issue8
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)0733-9445(1984)110:8(1707)
treeJournal of Structural Engineering:;1984:;Volume ( 110 ):;issue: 008
contenttypeFulltext


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