2011
DOI: 10.36001/phmconf.2011.v3i1.2017
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A Study on the parameter estimation for crack growth prediction under variable amplitude loading

Abstract: Bayesian formulation is presented to address the parameters estimation under uncertainty in the crack growth prediction subjected to variable amplitude loading. Huang's model is employed to describe the retardation and acceleration of the crack growth during the loadings. Model parameters are estimated in probabilistic way and updated conditional on the measured data by Bayesian inference. Markov Chain Monte Carlo (MCMC) method is employed for efficient sampling of the parameter distributions. As the model und… Show more

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