Advanced reliability methods for structural evaluationFast probability integration (FPI) methods, which can yield approximate solutions to such general structural reliability problems as the computation of the probabilities of complicated functions of random variables, are known to require one-tenth the computer time of Monte Carlo methods for a probability level of 0.001; lower probabilities yield even more dramatic differences. A strategy is presented in which a computer routine is run k times with selected perturbed values of the variables to obtain k solutions for a response variable Y. An approximating polynomial is fit to the k 'data' sets, and FPI methods are employed for this explicit form.
Document ID
19860043920
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Wirsching, P. H. (Arizona, University Tucson, United States)
Wu, Y.-T. (Southwest Research Institute San Antonio, TX, United States)