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December 10, 2025BuildingsOpen Access

Enhancing Seismic Displacement Prediction for Reinforced Concrete Box Girder Bridges Through Nonlinear Time History Analysis

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Authors

BGBigya Gyawali LKLaxman Khanal MYMijia Yang

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Overview

Nonlinear analysis reveals that a new amplification factor improves predictions for inelastic displacement in reinforced concrete bridges, suggesting enhanced design guidelines.

Key Points

The central aim is to enhance seismic displacement prediction for reinforced concrete box girder bridges.
Utilized nonlinear time history analyses on six RC box girder bridge models.
Subjected models to 28 recorded ground motions from California including longitudinal and transverse components.
Determined elastic and inelastic displacement demands and computed inelastic displacement ratios.
Developed a new predictive equation for inelastic displacement ratios.
Identified that while AASHTO Rd aligns with average behavior, it is unreliable under diverse seismic conditions.
Found that displacement ratios increase with higher damping ratios, necessitating a revised amplification factor.

Cite This Study

Gyawali et al. (2025) studied this question.

synapsesocial.com/papers/69401b3d2d562116f28f81db https://doi.org/10.3390/buildings15244458

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December 10, 2025BuildingsOpen Access

Enhancing Seismic Displacement Prediction for Reinforced Concrete Box Girder Bridges Through Nonlinear Time History Analysis

View Full Paper

Ask AI

Bookmark

Authors

BGBigya Gyawali LKLaxman Khanal MYMijia Yang

Discussion

Member takes

Overview

Nonlinear analysis reveals that a new amplification factor improves predictions for inelastic displacement in reinforced concrete bridges, suggesting enhanced design guidelines.

Key Points

The central aim is to enhance seismic displacement prediction for reinforced concrete box girder bridges.
Utilized nonlinear time history analyses on six RC box girder bridge models.
Subjected models to 28 recorded ground motions from California including longitudinal and transverse components.
Determined elastic and inelastic displacement demands and computed inelastic displacement ratios.
Developed a new predictive equation for inelastic displacement ratios.
Identified that while AASHTO Rd aligns with average behavior, it is unreliable under diverse seismic conditions.
Found that displacement ratios increase with higher damping ratios, necessitating a revised amplification factor.

Cite This Study

Gyawali et al. (2025) studied this question.

synapsesocial.com/papers/69401b3d2d562116f28f81db https://doi.org/10.3390/buildings15244458

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