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Journal of the Society of Materials Science Japan
Article . 1988 . Peer-reviewed
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Probabilistic analysis for the propagation of surface cracks of semi-elliptic type.

半だ円型表面き裂進展の確率論的解析
Authors: TSURUI, Akira; TANAKA, Hiroaki;

Probabilistic analysis for the propagation of surface cracks of semi-elliptic type.

Abstract

As the first step for a probabilistic LBB (Leak Before Break) evaluation, the random propagation of surface cracks of semielliptic type was investigated by considering the randomness of loading and material properties. First, by the use of a Markov approximation metod, the joint probability density function of surface length and depth of a surface crack was derived in a closed form, under the assumption that the shape of surface crack is always semi-elliptical and the well-known Paris' fatigue crack propagation law is applicable for its propagation in both surface and depth directions.Next, a failure criterion for the two-dimensional crack propagation was constructed. Based upon this criterion, the so-called residual life distribution was theoretically derived by the use of the crack length density function. Finally, a more detailed form of the residual life distribution function under stationary random loading was studied under the condition that the material property was not random, and its qualitative behavior was clarified by numerical calculations.

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Keywords

Residual life distribution, LBB, Fatigue crack propagation, Semi-elliptical surface crack, Markov approximation method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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