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A platform for research: civil engineering, architecture and urbanism
Probabilistic impact fragility analysis of bridges under Barge collision and local scour
https://orcid.org/0000-0002-0793-0089
Highlights Probabilistic impact fragility was proposed to characterize bridge failure under barge collision and local scour hazards. Experimentally verified nonlinear material models through scaled pier-foundation model testing were used in the numerical finite-element simulation of barge-bridge collision. Scour significantly increased the probability of major damage and collapse at high barge-bridge impact velocities.
Abstract Vessel collision is a common cause of structural failure to bridges crossing navigable waterways. Although numerous efforts focus on the safety evaluation of bridge structures under vessel impact, very few jointly consider a more threatening situation that involves a scoured bridge colliding with a vessel (e.g., a barge). In this work, an impact fragility analysis (IFA) process is proposed to understand a bridge's failure probability under the combined hazards. To achieve high-fidelity modeling of material behavior during the collision process, scaled pier-foundation models subjected to pendulum impacts are experimentally studied. Nonlinear material models and an explicit dynamic simulation procedure are verified, which are further adopted to develop a high-resolution finite-element model for a full-scale three-span bridge. The resulting impact-fragility models conditional upon impact velocities at different scour depths reveal essential insights into the failure modes of the bridge. The findings include that: (1) scour has a minor effect on the probability of slight and moderate damage at various impact velocities; (2) at a high impact velocity (when higher than an impact fragility velocity threshold), scour can significantly increase the probability of major damage and collapse; (3) barge-tonnage has a significant influence on the threshold value reflecting the significant scour effects.
Probabilistic impact fragility analysis of bridges under Barge collision and local scour
https://orcid.org/0000-0002-0793-0089
Highlights Probabilistic impact fragility was proposed to characterize bridge failure under barge collision and local scour hazards. Experimentally verified nonlinear material models through scaled pier-foundation model testing were used in the numerical finite-element simulation of barge-bridge collision. Scour significantly increased the probability of major damage and collapse at high barge-bridge impact velocities.
Abstract Vessel collision is a common cause of structural failure to bridges crossing navigable waterways. Although numerous efforts focus on the safety evaluation of bridge structures under vessel impact, very few jointly consider a more threatening situation that involves a scoured bridge colliding with a vessel (e.g., a barge). In this work, an impact fragility analysis (IFA) process is proposed to understand a bridge's failure probability under the combined hazards. To achieve high-fidelity modeling of material behavior during the collision process, scaled pier-foundation models subjected to pendulum impacts are experimentally studied. Nonlinear material models and an explicit dynamic simulation procedure are verified, which are further adopted to develop a high-resolution finite-element model for a full-scale three-span bridge. The resulting impact-fragility models conditional upon impact velocities at different scour depths reveal essential insights into the failure modes of the bridge. The findings include that: (1) scour has a minor effect on the probability of slight and moderate damage at various impact velocities; (2) at a high impact velocity (when higher than an impact fragility velocity threshold), scour can significantly increase the probability of major damage and collapse; (3) barge-tonnage has a significant influence on the threshold value reflecting the significant scour effects.
Probabilistic impact fragility analysis of bridges under Barge collision and local scour
https://orcid.org/0000-0002-0793-0089
Highlights Probabilistic impact fragility was proposed to characterize bridge failure under barge collision and local scour hazards. Experimentally verified nonlinear material models through scaled pier-foundation model testing were used in the numerical finite-element simulation of barge-bridge collision. Scour significantly increased the probability of major damage and collapse at high barge-bridge impact velocities.
Abstract Vessel collision is a common cause of structural failure to bridges crossing navigable waterways. Although numerous efforts focus on the safety evaluation of bridge structures under vessel impact, very few jointly consider a more threatening situation that involves a scoured bridge colliding with a vessel (e.g., a barge). In this work, an impact fragility analysis (IFA) process is proposed to understand a bridge's failure probability under the combined hazards. To achieve high-fidelity modeling of material behavior during the collision process, scaled pier-foundation models subjected to pendulum impacts are experimentally studied. Nonlinear material models and an explicit dynamic simulation procedure are verified, which are further adopted to develop a high-resolution finite-element model for a full-scale three-span bridge. The resulting impact-fragility models conditional upon impact velocities at different scour depths reveal essential insights into the failure modes of the bridge. The findings include that: (1) scour has a minor effect on the probability of slight and moderate damage at various impact velocities; (2) at a high impact velocity (when higher than an impact fragility velocity threshold), scour can significantly increase the probability of major damage and collapse; (3) barge-tonnage has a significant influence on the threshold value reflecting the significant scour effects.
Probabilistic impact fragility analysis of bridges under Barge collision and local scour
Guo, Xuan (author) / Chen, Wei (author) / Chen, ZhiQiang (author)
Applied Ocean Research ; 134
2023-02-12
Article (Journal)
Electronic Resource
English
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