A polynomial dimensional decomposition framework based on topology derivatives for stochastic topology sensitivity analysis of high-dimensional complex systems and a type of benchmark problems

Title
A polynomial dimensional decomposition framework based on topology derivatives for stochastic topology sensitivity analysis of high-dimensional complex systems and a type of benchmark problems
Authors
Keywords
Stochastic topology sensitivity analysis, Topology derivatives, Polynomial dimensional decomposition, Stochastic moments, Reliability
Journal
PROBABILISTIC ENGINEERING MECHANICS
Volume -, Issue -, Pages 103104
Publisher
Elsevier BV
Online
2020-10-14
DOI
10.1016/j.probengmech.2020.103104

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