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Advanced reliability method for fatigue analysisWhen 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.
Document ID
19840048809
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Wu, Y.-T.
(Arizona Univ. Tucson, AZ, United States)
Wirsching, P. H.
(Arizona, University Tucson, AZ, United States)
Date Acquired
August 12, 2013
Publication Date
April 1, 1984
Publication Information
Publication: Journal of Engineering Mechanics
Volume: 110
ISSN: 0733-9399
Subject Category
Structural Mechanics
Accession Number
84A31596
Funding Number(s)
CONTRACT_GRANT: NAG3-41
Distribution Limits
Public
Copyright
Other

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