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- Title
Optimization of Mechanical Performance of Seismic Isolation Bearings for Continuous Beam Bridges.
- Authors
Zhang, Hao Yu; Yang, Yang
- Abstract
Purpose: In order to promote the seismic performance of bridges and the design of isolation bearings, this paper studies the influence of isolation bearing parameters on the seismic performance of bridges, and proposes an optimization framework for isolation bearing parameters of isolated continuous beam bridges. Methods: In this paper, Matlab is used for independent programming, and non-parametric regression analysis method is used to build the optimization objective function relationship of lead rubber bearing, and combined with NSGA2 (nondominated sorting genetic algorithm II) algorithm for optimization. Finally, we take the seismic vulnerability after optimization as an evaluation index to analyze the optimization effect of the lead rubber bearing. Results: By comparing the seismic vulnerability curve results of the lead rubber bearing before and after optimization, it is found that when the bearing parameters K1, K2, and Q are 21.65, 1.7, and 267.2 respectively, the seismic vulnerability of the whole bridge is reduced by 3–4% and the corresponding pier damage probability is reduced by 20–30% under the action of rare earthquakes. The probability of support damage only increased by 48%. Therefore, the selection of appropriate supporting parameters can help reduce pier damage and ensure the future repair of the bridge. Conclusion: For bridges that only use isolation devices, it is found that when the characteristic strength Q = 267.21 kN, the post-yield stiffness K2 = 1.7 kN/mm, and K1 = 22.1 kN/mm, the probability of pier damage can be minimized. It is also proved that the optimization frame is effective to optimize the parameters of the seismic isolation mounts of continuous beam bridges.
- Subjects
K2 (Pakistan : Mountain); BRIDGE bearings; CONTINUOUS bridges; EARTHQUAKE damage; RUBBER bearings; BRIDGE maintenance &; repair; GENETIC algorithms; REGRESSION analysis
- Publication
Journal of Vibration Engineering & Technologies, 2024, Vol 12, Issue 3, p3653
- ISSN
2523-3920
- Publication type
Article
- DOI
10.1007/s42417-023-01076-3