Long-term loss assessment of coastal bridges from hurricanes incorporating overturning failure mode

Deming Zhu, Yaohan Li, You Dong, Peng Yuan

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Coastal highway bridge is an essential component of the transportation system but threatened by natural hazards such as hurricanes. Damaged highway bridges result in not only transportation disruption, but also tremendous financial, societal, and life loss. Therefore, vulnerability and loss assessments of bridges under hurricane events are becoming primary concerns for decision-makers. This study provides an elaborate framework to assess the vulnerability and long-term loss of coastal bridges subjected to hurricane hazards based on three-dimensional (3D) numerical analyses. A 3D Computational Fluid Dynamics (CFD) numerical model is established to investigate wave-bridge interaction and a Finite Element (FE) model is established for the bridge to calculate structural responses under wave impacts. Based on the numerical results, the effects of wave force and overturning moment on structural capacity are studied and a probabilistic vulnerability model is developed. Structural demand, capacity, and limit states are determined, respectively. Uncertainties associated with wave parameters, structural capacity, and material properties, and the resulting consequences are considered. Then, fragility curves are calculated, and long-term damage loss is assessed. The proposed approach can benefit the management and design of coastal bridges against the impacts of hurricane hazards.

Original languageEnglish
Article number10
JournalAdvances in Bridge Engineering
Volume2
Issue number1
DOIs
Publication statusPublished - Dec 2021
Externally publishedYes

Keywords

  • 3D numerical models
  • Highway bridges
  • Long-term loss
  • Overturning effects
  • Structural response
  • Vulnerability model

Fingerprint

Dive into the research topics of 'Long-term loss assessment of coastal bridges from hurricanes incorporating overturning failure mode'. Together they form a unique fingerprint.

Cite this