Influence of Bottom Chloride-Induced Corrosion on Truck Collision Response and Damage of Coastal Reinforced Concrete Bridge Piers
Coastal reinforced concrete (RC) bridge piers are often subjected to seawater splash and tidal action, leading to bottom corrosion of the steel reinforcement and thereby producing the corrosion–induced cracks of concrete. The increased risk of vehicle collisions to piers poses significant threats to bridge and traffic disruption, potentially causing severe pier damage or even bridge collapse. Many studies have investigated the dynamic responses of bridge piers to vehicle collisions, but no study of the effect of the corrosion degradation of piers on vehicle collision response and damage has been reported yet. This study numerically investigates the influence of bottom chloride-induced corrosion on the truck collision response and damage of coastal RC bridge piers by using LS-DYNA. The results reveal that localized damage occurs in the impact zone for both intact and corroded piers. For the corroded pier, punching shear failure becomes the dominant failure mode and the pier is more vulnerable to collapse at lower truck velocities. Corrosion degradation influences the dynamic response, increasing the lateral displacement of the pier while reducing the impact force, particularly during the engine and cargo impact stages of truck collisions. The impulses in 500 ms collision time show reductions of 1.1% and 4.3% for piers with 45-year and 90-year corrosion, respectively. Notably, the lateral displacement at the bottom corrosion zone shows no oscillations due to the punching shear failure.
Authors
- Yun Zhou (ORCID: https://orcid.org/0000-0003-1962-369X)
- Yu Liu (ORCID: https://orcid.org/0000-0002-7478-929X)
Institutions
- Guangzhou University (CN)
Publication Details
- Journal
- Corrosion and Materials Degradation
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3390/cmd6010011
- Citations
- 1
- Primary Topic
- Concrete Corrosion and Durability
- Type
- article
- Field-Weighted Citation Impact
- 0.95
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation