Rapid uncertainty quantification for non-linear and stochastic wind excited structures: a metamodeling approach

DOI10.1007/s11012-019-00958-9OpenAlexW2918692314WikidataQ128312490 ScholiaQ128312490MaRDI QIDQ6145841

Wei-Chu Chuang, Seymour M. J. Spence

Publication date: 9 January 2024

Published in: Meccanica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11012-019-00958-9

zbMATH Keywords

Monte Carlo simulationuncertain dynamic systemsreduced order modelingmulti-degree-of-freedom systemsmetamodelingwind engineering

Mathematics Subject Classification ID

Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Cites Work

• On the effects of non-linear elements in the reliability-based optimal design of stochastic dynamical systems
• Adaptive sparse polynomial chaos expansion based on least angle regression
• A computational procedure to estimate the stochastic dynamic response of large nonlinear FE-models.
• Nonlinear System Identification
• An adaptive orthogonal search algorithm for model subset selection and non-linear system identification
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• SURROGATE MODELING FOR STOCHASTIC DYNAMICAL SYSTEMS BY COMBINING NONLINEAR AUTOREGRESSIVE WITH EXOGENOUS INPUT MODELS AND POLYNOMIAL CHAOS EXPANSIONS

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