Cognitive Approaches to Hyperbolic Discounting of High-Impact Low-Probability Bridge Overload Events and Live-Load Factors-Reference-Cited by-同舟云学术

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Cognitive Approaches to Hyperbolic Discounting of High-Impact Low-Probability Bridge Overload Events and Live-Load Factors

Published:2022-04 Issue:2 Volume:36 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Sinha Ananta¹,Chorzepa Mi G.²^ORCID,Yang Jidong J.³,Sonny Kim S.⁴^ORCID,Durham Stephan A.⁵^ORCID

Affiliation:

1. Ph.D. Candidate, College of Engineering, The Univ. of Georgia, Athens, GA 30605.

2. Associate Professor, College of Engineering, The Univ. of Georgia, Athens, GA 30605 (corresponding author). ORCID: .

3. Associate Professor, College of Engineering, The Univ. of Georgia, Athens, GA 30605.

4. Associate Professor, College of Engineering, The Univ. of Georgia, Athens, GA 30605. ORCID: .

5. Professor, College of Engineering, The Univ. of Georgia, Athens, GA 30605. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001709

Reference19 articles.

1. AASHTO. 2017. LRFD bridge design specifications. Washington, DC: AASHTO.

2. AASHTO. 2018. The manual for bridge evaluation. Washington, DC: AASHTO.

3. Postreward delays and systematic biases in measures of animal temporal discounting

4. The use of predictive likelihood to estimate the distribution of extreme bridge traffic load effect

5. Improvement of extrapolation of traffic load effect on highway bridges based on Rice’s theory

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep-Learning-Based Temporal Prediction for Mitigating Dynamic Inconsistency in Vehicular Live Loads on Roads and Bridges;Infrastructures;2022-10-31

2. Enhancing Reliability Analysis with Multisource Data: Mitigating Adverse Selection Problems in Bridge Monitoring and Management;Applied Sciences;2022-10-14

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