Analysis and Prevention of Component and Equipment Failures
Analysis Methods for Probabilistic Life Assessment
This article provides an outline of the issues to consider in performing a probabilistic life assessment. It begins with an historical background and introduces the most common methods. The article then describes those methods covering subjects such as the required random variable definitions, how uncertainty is quantified, and input for the associated random variables, as well as the characterization of the response uncertainty. Next, it focuses on specific and generic uncertainty propagation techniques: first- and second-order reliability methods, the response surface method, and the most frequently used simulation methods, standard Monte Carlo sampling, Latin hypercube sampling, and discrete probability...
Robert Kurth, Cédric Sallaberry, Analysis Methods for Probabilistic Life Assessment, Analysis and Prevention of Component and Equipment Failures, Vol 11A, ASM Handbook, Edited By Brett A. Miller, Roch J. Shipley, Ronald J. Parrington, Daniel P. Dennies, ASM International, 2021, p 77–97, https://doi.org/10.31399/asm.hb.v11A.a0006803
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