[1] Zhu Li, Meng Bowen, Huo Xuejin, Liu Wei, et al. Cable force optimization of cable-stayed bridges based on the influence matrix and elite genetic algorithm [J]. Journal of Southeast University (English Edition), 2024, 40 (2): 129-139. [doi:10.3969/j.issn.1003-7985.2024.02.003]

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Cable force optimization of cable-stayed bridges based on the influence matrix and elite genetic algorithm()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

40

Issue:

2024 2

Page:

129-139

Research Field:

Civil Engineering

Publishing date:

2024-06-13

Info

Title:

Cable force optimization of cable-stayed bridges based on the influence matrix and elite genetic algorithm

Author(s):

Zhu Li¹;  Meng Bowen¹;  Huo Xuejin²;  Liu Wei¹

¹School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
²China Railway Major Bridge Reconnaissance and Design Institute Co., Ltd., Wuhan 430050, China

Keywords:

cable-stayed bridge;  cable force optimization;  minimum bending moment energy;  influence matrix;  genetic algorithm;  feasible domain

PACS:

TU3

DOI:

10.3969/j.issn.1003-7985.2024.02.003

Abstract:

The limitations of conventional cable force optimization methods, which fail to automatically optimize and consider the overall performance of the bridge structure, as well as the drawbacks of extensive calculations, lengthy processing time, low efficiency, and slow convergence speed, when combined with intelligent optimization algorithms, should be addressed. Ansys and Matlab are used as the structural calculator and master control programs, respectively, with the minimum bending moment energy as the control objective.Moreover, the influence matrix and elite retention strategy are incorporated into the genetic algorithm to optimize the cable force during the bridge formation stage. This method can simultaneously account for the force characteristics of the main girder and pylon. Utilizing the influence matrix, the issue that each generation requires finite element evaluation can be resolved, thereby drastically reducing the amount of calculation. In addition to capitalizing on the benefits of the conventional influence matrix method, the proposed approach considers the iterative process of parameter selection and permits the addition of special constraint requirements to critical sections of the structure, thereby enhancing the realism of the optimization procedure. Furthermore, the introduction of the elite retention strategy enhances the convergence speed and stability of evolutionary iterations. Finally, a practical engineering application is utilized to validate the viability of the proposed method.

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Memo

Memo:

Biography: Zhu Li(1986─), male, doctor, professor, zhuli@bjtu.edu.cn.
Foundation item: The National High-Level Youth Talent Project in 2023.
Citation: Zhu Li, Meng Bowen, Huo Xuejin, et al. Cable force optimization of cable-stayed bridges based on the influence matrix and elite genetic algorithm[J].Journal of Southeast University(English Edition), 2024, 40(2):129-139.DOI:10.3969/j.issn.1003-7985.2024.02.003.

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