Navigating the unknown: Tackling high-dimensional challenges in composite damage modeling with bootstrapping and Bayesian uncertainty quantification
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Published:2024-03
Issue:
Volume:248
Page:110462
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ISSN:0266-3538
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Container-title:Composites Science and Technology
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language:en
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Short-container-title:Composites Science and Technology
Author:
Catalanotti GiuseppeORCID
Reference26 articles.
1. B. Sudret, S. Marelli, J. Wiart, Surrogate models for uncertainty quantification: An overview, in: 2017 11th European Conference on Antennas and Propagation, EUCAP, 2017, pp. 793–797.
2. Physical systems with random uncertainties: Chaos representations with arbitrary probability measure;Soize;SIAM J Sci Comput,2004
3. Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions;Konakli;J. Comput. Phys.,2016
4. Gaussian Processes for Machine Learning;Rasmussen,2005
5. A tutorial on support vector regression;Smola;Stat Comput,2004