Abstract
A general approach for assessing the reliability of nonlinear stochastic mechanical systems under stochastic conditions is presented. It combines the skeleton of an asymptotic reliability method, that can be used in the original space of the variables and provides a good estimate of the probability of failure, with an extended response surface scheme by which any limit state can be put in analytical form.
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© 1994 Springer-Verlag, Berlin Heidelberg
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Faravelli, L. (1994). Reliability Assessment via Log-Likelihood Maximization. In: Spanos, P.D., Wu, YT. (eds) Probabilistic Structural Mechanics: Advances in Structural Reliability Methods. International Union of Theoretical and Applied Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85092-9_11
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DOI: https://doi.org/10.1007/978-3-642-85092-9_11
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