Evaluating Epistemic Uncertainty from Random Variables at the Terminal Branches of a Logic Tree-Reference-Cited by-同舟云学术

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Evaluating Epistemic Uncertainty from Random Variables at the Terminal Branches of a Logic Tree

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:

Brandenberg Scott J.¹^ORCID,Pretell Renmin²^ORCID

Affiliation:

1. Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles (UCLA), Los Angeles, CA 90095-1593 (corresponding author). ORCID: .

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Nevada, Reno, NV 89557-0258. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1267

Reference16 articles.

1. Abrahamson, N. A. 2018. “Aleatory variability and epistemic uncertainty.” Chap. 5 in Class notes for probabilistic seismic hazard analysis course. Davis, CA: Univ. of California, Davis.

2. Ake J. C. Munson J. Stamatakos M. Juckett K. Coppersmith and J. J. Bommer. 2022. “Updated implementation guidelines for SSHAC hazard studies (NUREG-2213).” Accessed October 24 2023. https://www.nrc.gov/reading-rm/doc-collections/nuregs/staff/sr2213/index.html.

3. Methods for assessing the epistemic uncertainty captured in ground-motion models

4. Alternative Approaches to Modeling Epistemic Uncertainty in Ground Motions in Probabilistic Seismic-Hazard Analysis

5. Challenges of Building Logic Trees for Probabilistic Seismic Hazard Analysis

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