Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation

Volume: 124, Pages: 349 - 368
Published: Jun 1, 2019
Abstract
Uncertainty propagation through the simulation models is critical for computational mechanics engineering to provide robust and reliable design in the presence of polymorphic uncertainty. This set of companion papers present a general framework, termed as non-intrusive imprecise stochastic simulation, for uncertainty propagation under the background of imprecise probability. This framework is composed of a set of methods developed for meeting...
Paper Details
Title
Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation
Published Date
Jun 1, 2019
Volume
124
Pages
349 - 368
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