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Design of experiments for uncertainty quantification based on polynomial chaos expansion metamodels

https://doi.org/10.1016/b978-0-12-816514-0.00015-1
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10/10 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 10 checked references that resolve
resolves10.1016/j.jcp.2010.12.021
Adaptive sparse polynomial chaos expansion based on least angle regression
resolves10.1016/j.probengmech.2009.10.003
An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
resolves10.1061/AJRUA6.0000866
Reliability-Based Design Optimization of Frame-Supported Tensile Membrane Structures
resolves10.1007/s00158-017-1802-5
Optimisation of tensile membrane structures under uncertain wind loads using PCE and kriging based metamodels
resolves10.1061/(ASCE)0733-9445(1999)125:4(453)
Wind Load Statistics for Probability-Based Structural Design
resolves10.1137/16M1103488
Sequential Design of Experiment for Sparse Polynomial Chaos Expansions
resolves10.1002/nme.2242
Pitfalls of using a single criterion for selecting experimental designs
resolves10.1007/BF01386213
On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
resolves10.1007/PL00007198
Metamodels for Computer-based Engineering Design: Survey and recommendations
resolves10.1137/S1064827503424505
Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
The 3 references without a DOI — listed, not checked
no DOI — not checkedSurrogate model-driven evolutionary algorithms: theory and applications
no DOI — not checked10.1016/B978-0-12-816514-0.00015-1_bib7
no DOI — not checkedOn the distribution of points in a cube and the approximate evaluation of integrals
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