Journal article
Fatigue failure analysis of non-stationary gaussian stress process: Random algebraic polynomials
Neural, Parallel, and Scientific Computations, Vol.21(2), pp.129-140
2013
Abstract
Fatigue is considered as a primary model of failure for metallic structures or mechanical devices subjected to oscillatory stress processes. In this paper we study fatigue failure and consider certain random polynomial as the underlying stress process. Let Q n (t) = n k=0 A i t i be a random algebraic polynomial in which the coefficients A 0 , A 1 , A 2 ,. .. , A n form a sequence of i.i.d random variables with standard normal distribution. We obtain the distribution of peaks's magnitude of Q n (t). We also evaluate the behavior of the distribution, expectation and variance of the peaks magnitude. Finally we provide a method for evaluation of time to failure and the number of cycles to failure for such a situation.
Details
- Title
- Fatigue failure analysis of non-stationary gaussian stress process: Random algebraic polynomials
- Authors/Creators
- Soudabeh Shemehsavar - Murdoch University, College of Science, Technology, Engineering and MathematicsS Rezakhah
- Publication Details
- Neural, Parallel, and Scientific Computations, Vol.21(2), pp.129-140
- Publisher
- Dynamic Publishers Inc.
- Identifiers
- 991005728684707891
- Copyright
- © 2013 Dynamic Publishers, Inc.
- Murdoch Affiliation
- College of Science, Technology, Engineering and Mathematics
- Language
- English
- Resource Type
- Journal article
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