Research on Seismic Performance Optimization Design of Bridges Based on BIM

Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i1.3759

Hanwei Feng

Zhejiang University of Science and Technology, Hangzhou 310000, Zhejiang, China

Abstract

Building Information Modeling (BIM) technology has emerged as an indispensable tool in the seismic performance optimization design of bridges. In the face of increasingly frequent seismic activities, ensuring the structural integrity of bridges during earthquakes is of utmost importance. This paper focuses on the application of Building Information Modeling (BIM) technology in the seismic performance optimization design of bridges. It elaborates on the principles and advantages of using BIM in this field, and demonstrates how BIM can improve the accuracy and efficiency of seismic design, ultimately enhancing the seismic resistance capacity of bridges.

Keywords

Building Information Modeling (BIM); bridge seismic performance; optimization design; seismic resistance capacity

References

[1]Jian S,Kaiming B,Ruisheng M, et al. Optimum design and performance evaluation of inerter‐based dampers for seismic protection of adjacent bridges [J]. Structures, 2023, 55, 1277-1291.
[2]Park W J,Yoon J,Yoon G, et al. Bi-axial Seismic Behaviour of a Bridge Structure with a Shape Optimized Metallic Damper [J]. IOP Conference Series: Materials Science and Engineering, 2018, 431 (12).
[3]Engineering - Civil Engineering; Reports Summarize Civil Engineering Findings from University of California (Optimal Design of Seismic Protective Devices for Highway Bridges Using Performance-Based Methodology and Multiobjective Genetic Optimization) [J]. Journal of Engineering, 2017, 1728-1730.
[4]Xie Y,Zhang J . Optimal Design of Seismic Protective Devices for Highway Bridges Using Performance-Based Methodology and Multiobjective Genetic Optimization [J]. Journal of Bridge Engineering, 2016, 22 (3): 04016129-04016129.
[5]Lagos C S,Rivera L M F,Atencio E, et al. Integration of BIM Tools for the Facility Management of Railway Bridges [J]. Applied Sciences, 2024, 14 (14): 6209-6209.

Copyright © 2025 Hanwei Feng

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License