Open Access

ARTICLE

An Improved JSO and Its Application in Spreader Optimization of Large Span Corridor Bridge

Shude Fu^1,2, Xinye Wu^1,2,*, Wenjie Wang³, Yixin Hu^1,3,*, Zhengke Li¹, Feng Jiang³

1 Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen, 361005, China
2 Xiamen Transportation Infrastructure Intelligent Management and Maintenance Engineering Technology Research Center, Xiamen, 361005, China
3 Fuzhou Company of China Communications Construction Co., Ltd., Fuzhou, 350005, China

* Corresponding Authors: Xinye Wu. Email: ; Yixin Hu. Email:

Computer Modeling in Engineering & Sciences 2024, 138(3), 2357-2382. https://doi.org/10.32604/cmes.2023.031118

Received 15 May 2023; Accepted 02 August 2023; Issue published 15 December 2023

Abstract

In this paper, given the shortcomings of jellyfish search algorithm with low search ability in the early stage and easy to fall into local optimal solution, this paper introduces adaptive weight function and elite strategy, improving the global search scope in the early stage and the ability to refine the local development in the later stage. In the numerical study, the benchmark problem of dimensional optimization with a 10-bar truss structure and simultaneous dimensional shape optimization with a 15-bar truss structure is adopted, and the corresponding penalty method is used for constraint treatment. The test results show that the improved jellyfish search algorithm can provide better truss sections as well as weights. Because when the steel main truss of the large-span covered bridge is lifted, the site is limited and the large lifting equipment cannot enter the site, and the original structure does not meet the problem of stress concentration and large deformation of the bolt group, so the spreader is used to lift, and the improved jellyfish search algorithm is introduced into the design optimization of the spreader. The results show that the improved jellyfish algorithm can efficiently and accurately find out the optimal shape and weight of the spreader, and through Midas Civil simulation, the spreader used can meet the requirements of weight and safety.

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