A Bayesian collocation method for static analysis of structures with unknown-but-bounded uncertainties
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Publication:1986917
DOI10.1016/j.cma.2018.08.043zbMath1440.74468OpenAlexW2891790789WikidataQ129228545 ScholiaQ129228545MaRDI QIDQ1986917
Zheng Lv, Lei Wang, Yisi Liu, Xiao-Jun Wang
Publication date: 9 April 2020
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2018.08.043
Gaussian processsurrogate modelBayesian collocation methodstructural static analysisunknown-but-bounded uncertainty
Bayesian inference (62F15) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Related Items (8)
Non-probabilistic polygonal convex set model for structural uncertainty quantification ⋮ An interval uncertainty analysis method for structural response bounds using feedforward neural network differentiation ⋮ A novel univariate dimension‐reduction based interval finite element method for static response prediction of uncertain structures ⋮ A credible interval analysis method for uncertain structures under nonprobabilistic framework ⋮ Novel Nonprobabilistic Bayesian Uncertainty Quantification Method for Structures with Interval Parameters ⋮ An \(\varepsilon\)-accelerated bivariate dimension-reduction interval finite element method ⋮ An improved Bayesian collocation method for steady-state response analysis of structural dynamic systems with large interval uncertainties ⋮ Interval uncertainty propagation by a parallel Bayesian global optimization method
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