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Spatial Poisson processes for fatigue crack initiation
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DOI：10.1016/j.cma.2018.11.007.png)
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摘要
En 中文
In this work we propose a stochastic model for estimating the occurrence of crack initiations on the surface of metallic specimens in fatigue problems that can be applied to a general class of geometries. The stochastic model is based on spatial Poisson processes with intensity function that combines stress-life (S-N) curves with averaged effective stress, sigma(Delta)(eff)(x), which is computed after solving numerically the linear elasticity equations on the specimen domains using finite element methods. Here, Delta is a parameter that characterizes the size of the neighbors covering the domain boundary. The averaged effective stress, parameterized by Delta, maps the stress tensor to a scalar field upon the specimen domain. Data from fatigue experiments on notched and unnotched sheet specimens of 75S-T6 aluminum alloys are used to calibrate the model parameters for the individual data sets and their combination. Bayesian and classical approaches are applied to estimate the survival-probability function for any specimen tested under a prescribed fatigue experimental setup. Our proposed model can predict the initiation of cracks in specimens made from the same material with new geometries. (C) 2018 Elsevier B.V. All rights reserved.
Keyword:
Fatigue crack initiation
Linear elasticity
Notched metallic specimens
Spatial Poisson processes
Fatigue-limit models
Maximum likelihood methods
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IF:
7.3
论文数:
1.3W
被引数:
5.6W
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