A computational approach for robust nondestructive test design maximizing characterization capabilities for solids and structures subject to uncertainty

DOI10.1002/nme.4945zbMath1352.74272OpenAlexW2096007168MaRDI QIDQ2952822

John C. Brigham, Bahram Notghi

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://doi.org/10.1002/nme.4945

zbMATH Keywords

optimizationcollocationsolidsprobabilistic methodsnondestructive testingmaterial characterization

Mathematics Subject Classification ID

Related Items (1)

Adaptive reduced-basis generation for reduced-order modeling for the solution of stochastic nondestructive evaluation problems

Cites Work

• Self-learning finite elements for inverse estimation of thermal constitutive models
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• Finite elements for elliptic problems with stochastic coefficients
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• Optimal sensor placement methodology for parametric identification of structural systems
• A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
• Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations
• Nondestructive evaluation of materials using pulsed microwave interrogating signals and acoustic wave induced reflections
• High-Order Collocation Methods for Differential Equations with Random Inputs
• A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

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