针对传统设计方案下架桥机主梁设计量冗余、耗材较多，从而降低生产效率，且现有智能优化方法存在收敛精度较低等问题，提出了一种基于二次插值策略的改进白鲸优化算法（enhanced beluga whale optimization, EBWO），将其应用于600 t架桥机主梁的轻量化研究。首先选取6项测试函数分别对白鲸优化算法（beluga whale optimization, BWO）、EBWO及其他3种常见优化算法进行对比，检验其收敛特性的优越性，并根据给定工况对架桥机主梁进行力学分析，结合架桥机主梁设计规范及力学性能要求建立优化模型，完成架桥机主梁的横截面积优化。结果表明：EBWO具有更强的稳定性及收敛特性，经验证优化后主梁减轻19.3%，且能满足安全要求。

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.