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Stochastic modeling of fatigue crack growth

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Degree
Doctor of Philosophy, Case Western Reserve University, Civil Engineering, .
Abstract
Fatigue of metals has been recognized as an important cause of failure of engineering structures. The experiments show that the fatigue life of real mechanical components is characteristically random. The random nature of the fatigue process is most obvious if a structure is subjected to time-varying random loading. This work develops a stochastic phenomenological model for crack growth which incorporates the effects of material inhomogeneity and random loading as well as including deterministic models which try to explain experimentally observed behavior, thus removing a majority of the shortcomings in existing stochastic models.
Subject Headings
Engineering, Civil
Keywords
Stochastic modeling fatigue crack growth
Advisor
Fred Moses
Pages
268p.

Document number: case1054565393
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