Lightweight Design of Main Girder of Bridge Erector Based on Enhanced BWO Algorithm

Yi CHEN , Jiang-feng ZHAO , Jun-qiang SUN , Gang-feng WANG , Yan-ni SHI , Cheng-hao ZHANG

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (12) : 4986 -4994.

PDF
Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (12) : 4986-4994 DOI: 10.12404/j.issn.1671-1815.2403940
research-article
Lightweight Design of Main Girder of Bridge Erector Based on Enhanced BWO Algorithm
Author information +
History +
PDF

Abstract

Under the traditional design scheme, the design quantity of main girder of the bridge erector is redundant and there are many consumables, which will reduce the production efficiency, and the existing optimization methods have the problem of low convergence accuracy. An enhanced beluga whale optimization (EBWO) based on quadratic interpolation strategy was proposed, and lightweight design of main girder of the 600t bridge erector was carried out. Firstly, six test functions were applied to evaluate and compare the effectiveness of the beluga whale optimization (BWO), EBWO and three other prevalent optimization algorithms, focusing on their convergence characteristics. Then, a mechanical analysis was conducted on the bridge erector girder under the real loading conditions. An optimization model was established by combining bridge girder design specifications and mechanical requirements, and the cross-sectional area optimization of main girder of the bridge erector was carried out. The results show that EBWO has the enhanced stability and convergence characteristics. It is proved that the optimized main girder is reduced by 19.3%, and can meet the safety requirements.

Keywords

beluga whale optimization(BWO) / quadratic interpolation strategy / bridge erector / main girder / lightweight design

Cite this article

Download citation ▾
Yi CHEN, Jiang-feng ZHAO, Jun-qiang SUN, Gang-feng WANG, Yan-ni SHI, Cheng-hao ZHANG. Lightweight Design of Main Girder of Bridge Erector Based on Enhanced BWO Algorithm. Science Technology and Engineering, 2025, 25(12): 4986-4994 DOI:10.12404/j.issn.1671-1815.2403940

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

PDF (10712KB)

19

Accesses

0

Citation

Detail

Sections
Recommended

/

〈 〉