Reference health
Efficient uncertainty quantification and management in the early stage design of composite applications
25/25 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.
10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 25 checked references that resolve
resolves10.1016/j.compstruct.2018.06.121
Integration of material and process modelling in a business decision support system: Case of COMPOSELECTOR H2020 project
resolves10.1007/s11075-004-2866-z
Stochastic Approaches to Uncertainty Quantification in CFD Simulations
resolves10.1137/S1064827501387826
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
resolves10.1016/j.proeng.2017.09.216
Reliability-based design optimization of reinforced concrete structures with elastomeric isolators
resolves10.1115/1.4007516
Uncertainty Quantification and Conjugate Heat Transfer: A Stochastic Analysis
resolves10.1016/j.compstruct.2011.10.028
X-FEM implementation of VAMUCH: Application to active structural fiber multi-functional composite materials
resolves10.1016/j.compstruct.2014.06.028
An advanced numerical method for predicting effective elastic properties of heterogeneous composite materials
resolves10.2514/6.2006-891
A Non-Intrusive Polynomial Chaos Method For Uncertainty Propagation in CFD Simulations
resolves10.1016/j.probengmech.2005.09.003
Hybridization of stochastic reduced basis methods with polynomial chaos expansions
resolves10.1016/j.compfluid.2016.08.015
An efficient non-intrusive reduced basis model for high dimensional stochastic problems in CFD
resolves10.1016/j.crme.2008.02.013
Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach
resolves10.1016/j.jcp.2010.12.021
Adaptive sparse polynomial chaos expansion based on least angle regression
resolves10.1016/j.jcp.2014.09.019
Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies
resolves10.1007/s00158-010-0568-9
Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems
resolves10.1016/j.cma.2017.01.033
Bayesian sparse polynomial chaos expansion for global sensitivity analysis
resolves10.1006/jcph.1996.0096
Sensitivity Derivatives for Advanced CFD Algorithm and Viscous Modeling Parameters via Automatic Differentiation
The 10 references without a DOI — listed, not checked
no DOI — not checkedJ. C. Helton, J. D. Johnson, W. L. Oberkampf, and C. J. Sallaberry, of Analysis Results Involving Aleatory and Epistemic Uncertainty, Sandia National Laboratories, Tech. Rep. SAND 2008-4379, 2008.
no DOI — not checked10.1016/j.compstruct.2020.112538_b0020
no DOI — not checked10.1016/j.compstruct.2020.112538_b0025
no DOI — not checkedStochastic Fluid Mechanics via Polynomial Chaos, 41st Aerospace Sciences Meeting and Exhibit
no DOI — not checkedUncertainty quantification: A stochastic method for heat transfer prediction using LES
no DOI — not checkedA data-driven analysis on bridging techniques for heterogeneous materials and structures
no DOI — not checkedFajraoui, N., Marelli, S., Sudret, B, Adaptive Experimental Designs for Sparse Polynomial Chaos Expansions, 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017), Rhodes Island, Greece, June 15–17, 2017.
no DOI — not checkedA. C. Taylor, L. L. Green, P. A. Newman, and M. M. Putko. Some Advanced Concepts in Discrete Aerodynamic Sensitivity Analysis, AIAA Paper 2001-2529. In AIAA 15th Computational Fluid Dynamics Conference, Anaheim, CA, June 2001.
no DOI — not checkedSensitivity analysis for nonlinear mathematical models: numerical experience
no DOI — not checked10.1016/j.compstruct.2020.112538_b0175
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