Efficient uncertainty propagation for network multiphysics systems

DOI10.1002/nme.4667zbMath1352.65339arXiv1308.6520OpenAlexW2112197312MaRDI QIDQ2952517

Paul G. Constantine, Timothy Wildey, Eric T. Phipps

Publication date: 30 December 2016

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1308.6520

zbMATH Keywords

uncertainty quantificationpolynomial chaosstochastic Galerkinnetwork couplingreduced quadraturemultiphysics systems

Mathematics Subject Classification ID

Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Stochastic analysis (60H99)

Related Items

Polynomial chaos expansions for dependent random variables, A decomposition‐based approach to uncertainty analysis of feed‐forward multicomponent systems, Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems, Generation and application of multivariate polynomial quadrature rules, Systems of Gaussian process models for directed chains of solvers

Uses Software

• Trilinos
• Gurobi
• COIN-OR
• Stokhos

Cites Work

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