Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization
• Proposed an aggregative reliability index for reliability analysis under heterogeneous uncertainties. • Developed a novel Bayesian uncertainty quantification (UQ) framework for RBDO. • Three case studies are used to demonstrate the effectiveness and robustness of the proposed approach.
Gespeichert in:
| Autor*in: |
Li, Mingyang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: HDL quantity and function are potential therapeutic targets for abdominal aortic aneurysm - He, Bai-mei ELSEVIER, 2014, an international journal on integrated risk assessment for constructed facilities, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:85 ; year:2020 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.strusafe.2020.101954 |
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ELV050049461 |
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Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization |
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• Proposed an aggregative reliability index for reliability analysis under heterogeneous uncertainties. • Developed a novel Bayesian uncertainty quantification (UQ) framework for RBDO. • Three case studies are used to demonstrate the effectiveness and robustness of the proposed approach. |
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