Advanced Reliability Method for Fatigue Analysis
Publication: Journal of Engineering Mechanics
Volume 110, Issue 4
Abstract
When design factors are considered as random variables and the failure condition cannot be expressed by a closed form algebraic inequality, computations of risk (or probability of failure) may become extremely difficult or very inefficient. This study suggests using a simple and easily constructed second degree polynomial to approximate the complicated limit state in the neighborhood of the design point; a computer analysis relates the design variables at selected points. Then a fast probability integration technique (i.e., the Rackwitz‐Fiessler algorithm) can be used to estimate risk. The capability of the proposed method is demonstrated in an example of a low cycle fatigue problem for which a computer analysis is required to perform local strain analysis to relate the design variables. A comparison of the performance of this method is made with a far more costly Monte Carlo solution. Agreement of the proposed method with Monte Carlo is considered to be good.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 110 • Issue 4 • April 1984
Pages: 536 - 553
Copyright
Copyright © 1984 ASCE.
History
Published online: Apr 1, 1984
Published in print: Apr 1984
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