Probabilistic Life-Cycle Connectivity Assessment of Transportation Networks Using Deep Learning-Reference-Cited by-同舟云学术

Probabilistic Life-Cycle Connectivity Assessment of Transportation Networks Using Deep Learning

Published:2023-09 Issue:9 Volume:28 Page:
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Xin Jiyu¹,Frangopol Dan M.²^ORCID,Akiyama Mitsuyoshi³^ORCID,Han Xu⁴

Affiliation:

1. Postdoctoral Research Associate, Dept. of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh Univ., Bethlehem, PA 18015-4729.

2. Professor and the Fazlur R. Khan Endowed Chair of Structural Engineering and Architecture, Dept. of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh Univ., Bethlehem, PA 18015-4729 (corresponding author). ORCID: .

3. Professor, Dept. of Civil and Environmental Engineering, Waseda Univ., Tokyo 169-8555, Japan. ORCID: .

4. Research Assistant, Dept. of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh Univ., Bethlehem, PA 18015-4729.

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-6149

Reference51 articles.

1. AASHTO. 2017. AASHTO LRFD bridge design specifications. 8th ed. Washington, DC: AASHTO.

2. AASHTO. 2020. Mechanistic-empirical pavement design guide. 3rd ed. Washington, DC: AASHTO.

3. Rating and Reliability of Existing Bridges in a Network

4. Toward life-cycle reliability-, risk- and resilience-based design and assessment of bridges and bridge networks under independent and interacting hazards: emphasis on earthquake, tsunami and corrosion

5. Albrecht, P., and A. H. Naeemi. 1984. Performance of weathering steel in bridges. NCHRP Rep. No. 272. Washington, DC: Transportation Research Board.

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