Quantification of Polymorphic Uncertainties: A Quasi-Monte Carlo Approach-Reference-Cited by-同舟云学术

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Quantification of Polymorphic Uncertainties: A Quasi-Monte Carlo Approach

Published:2024-09 Issue:3 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Marwitz Simon¹^ORCID,Lahmer Tom²^ORCID,Zabel Volkmar³

Affiliation:

1. Institute of Structural Mechanics, Bauhaus Universität Weimar, Weimar 99423, Germany (corresponding author). ORCID: .

2. Professor, Institute of Structural Mechanics, Bauhaus Universität Weimar, Weimar 99423, Germany. ORCID:

3. Professor, Structural Analysis and Dynamics, Universität Rostock, Rostock 18051, Germany.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1185

Reference50 articles.

1. Estimation of the lower and upper bounds on the probability of failure using subset simulation and random set theory

2. A survey of cross-validation procedures for model selection;Arlot S.;Stat. Surv.,2010

3. Imprecise probabilities in engineering analyses

4. Multifidelity approaches for uncertainty quantification

5. A Limited Memory Algorithm for Bound Constrained Optimization

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