Evaluating the Performance of Protection Beams Subject to Overheight Vehicular Impacts Using Analytical and Machine Learning

Evaluating the Performance of Protection Beams Subject to Overheight Vehicular Impacts Using Analytical and Machine Learning–Based Methods

Published:2023-12 Issue:12 Volume:28 Page:
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Cao Ran¹^ORCID,Zuo Xun²,Agrawal Anil Kumar³,El-Tawil Sherif⁴^ORCID,Wong Waider⁵

Affiliation:

1. Associate Professor, Key Laboratory for Damage Diagnosis of Engineering Structures of Hunan Province, Hunan Univ., Changsha 410082, China; College of Civil Engineering, Hunan Univ., Changsha 410082, Hunan, China (corresponding author). ORCID: .

2. Research Assistant, College of Civil Engineering, Hunan Univ., Changsha 410082, China.

3. Professor, Dept. of Civil and Environmental Engineering, The City College of the City Univ. of New York, New York, NY 10031.

4. Professor, Dept. of Civil & Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109. ORCID: .

5. Engineer, Federal Highway Administration, Baltimore, MD 21201.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JBENF2.BEENG-5984

Reference28 articles.

1. Agrawal A. K. X. Xu and Z. Chen. 2011. Bridge vehicle impact assessment. New York: Univ. Transportation Research Center New York State Dept. of Transportation.

2. Classification and regression trees;Breiman L.;Wadsworth Int. Group,1984

3. Data Filtering in Vehicle–Bridge Impact Simulations: Evaluation of Different Force Filtering Methods and Recommendations

4. Overheight impact on bridges: A computational case study of the Skagit River bridge collapse

5. Numerical Studies on Concrete Barriers Subject to MASH Truck Impact