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Seismic Optimization Method of Nuclear Power Crane Structure

Zhengyan Chang, Weiwei Wang, Mingliang Yang, Heng Yang, Qing Dong, Keyuan Zhao, Jie Yuwen*

School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China

* Corresponding Author: Jie Yuwen. Email: email

(This article belongs to the Special Issue: Assessment, Monitoring and Optimization of Steel and Composite Structures against Seismic Events and Extreme Actions)

Structural Durability & Health Monitoring 2026, 20(1), . https://doi.org/10.32604/sdhm.2025.066572

Abstract

To address the neglect of seismic performance in conventional double-girder bridge crane optimization, this paper introduces a time-history analysis-based seismic optimization methodology for crane structures. Using a 25-t nuclear power crane as a case study, a bridge frame finite element model is established and validated through static analysis, confirming its accurate representation of the physical entity’s mechanical behavior. Furthermore, with bridge mass reduction as the objective and structural strength, stiffness, stability, and seismic mechanical performance as constraints, an optimization model is developed employing the Whale Optimization Algorithm (WOA).

Keywords

Bridge crane; time history analysis; structure optimization; seismic analysis

Cite This Article

APA Style
Chang, Z., Wang, W., Yang, M., Yang, H., Dong, Q. et al. (2026). Seismic Optimization Method of Nuclear Power Crane Structure. Structural Durability & Health Monitoring, 20(1). https://doi.org/10.32604/sdhm.2025.066572
Vancouver Style
Chang Z, Wang W, Yang M, Yang H, Dong Q, Zhao K, et al. Seismic Optimization Method of Nuclear Power Crane Structure. Structural Durability Health Monit. 2026;20(1). https://doi.org/10.32604/sdhm.2025.066572
IEEE Style
Z. Chang et al., “Seismic Optimization Method of Nuclear Power Crane Structure,” Structural Durability Health Monit., vol. 20, no. 1, 2026. https://doi.org/10.32604/sdhm.2025.066572



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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