应用数学和力学2025，Vol.46Issue(10)：1295-1306,12.DOI:10.21656/1000-0887.450233
基于自适应改进白鲸算法的工程结构可靠性分析
Adaptive Enhanced Beluga Whale Optimization for Structural Reliability Analysis of Engineering Structures
摘要
Abstract
Structural reliability analysis is an important technique in the uncertainty quantification of engineer-ing structures,while the 1st-order reliability method(FORM)is popular due to its simplicity and efficiency.However,the FORM depends on the gradient information and may fall into local convergence for high-dimen-sional and highly nonlinear problems.The adaptive enhanced beluga whale optimization(BWO)was proposed for structural reliability analysis.The BWO with its updating rules was utilized to control the exploitation capaci-ty,and the intelligence level of Alibaba and the forty thieves algorithm was combined with the updating mecha-nism to control the exploration capacity.Moreover,the adaptive strategy was developed to balance the explora-tion and exploitation,and the adaptive enhanced BWO was combined with the FORM to find the global reliabili-ty index in structural reliability analysis.Finally,3 structural reliability problems in engineering were used to validate the HABWO-FORM,compared with 6 different metaheuristic algorithms.The results indicate that,the proposed method outperforms the comparative algorithms in terms of accuracy and robustness.关键词
智能优化算法/白鲸优化算法/结构可靠性分析/一阶可靠度法/阿里巴巴与四十大盗优化算法Key words
metaheuristic algorithm/beluga whale optimization/structural reliability analysis/1st-order relia-bility method/Alibaba and the forty thieves algorithm分类
动力与电气工程引用本文复制引用
李斯嘉,钟昌廷,辛大波..基于自适应改进白鲸算法的工程结构可靠性分析[J].应用数学和力学,2025,46(10):1295-1306,12.基金项目
国家自然科学基金(12402139 （）
52368070) （）
海南省自然科学基金(524QN223) 本文作者衷心感谢大连理工大学工业装备结构分析优化与CAE软件全国重点实验室开放基金项目(GZ24107)和海南大学科研启动基金项目(RZ2300002710)对本文的资助. （524QN223）
