A sampling-based approach for probabilistic design with random fields

DOI10.1016/j.cma.2009.07.003zbMath1230.74238OpenAlexW1988513975MaRDI QIDQ660399

Anirban Basudhar, Samy Missoum

Publication date: 1 February 2012

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.2009.07.003

zbMATH Keywords

proper orthogonal decompositionrandom fieldsdiscontinuitiessupport vector machineprobabilistic designexplicit limit state functions

Mathematics Subject Classification ID

High-velocity fracture (74R15) Impact in solid mechanics (74M20) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Related Items (9)

Simulation-based classification; a model-order-reduction approach for structural health monitoring ⋮ A survey on approaches for reliability-based optimization ⋮ Constrained efficient global optimization with support vector machines ⋮ An active learning method combining kriging and accelerated chaotic single loop approach (AK-ACSLA) for reliability-based design optimization ⋮ PINN-FORM: a new physics-informed neural network for reliability analysis with partial differential equation ⋮ A kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points ⋮ Buckling analysis of imperfect I-section beam-columns with stochastic shell finite elements ⋮ Probabilistic buckling analysis of beam-column elements with geometric imperfections and various boundary conditions ⋮ Reliability-based EDM process parameter optimization using kriging model and sequential sampling

Uses Software

• AS 136

Cites Work

• Unnamed Item
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• Algorithm AS 136: A K-Means Clustering Algorithm
• Probabilistic optimal design in the presence of random fields
• A convex hull approach for the reliability-based design optimization of nonlinear transient dynamic problems
• PROPER ORTHOGONAL DECOMPOSITION AND ITS APPLICATIONS—PART I: THEORY
• Stochastic finite element: a non intrusive approach by regression
• Turbulence and the dynamics of coherent structures. I. Coherent structures

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