重庆理工大学学报2026,Vol.40Issue(11):98-106,9.DOI:10.3969/j.issn.1674-8425(z).2026.06.012
特种车辆伸缩臂力学特性分析与多目标优化设计
Mechanical characterization and multi-objective optimization design of telescopic boom for special vehicles
摘要
Abstract
To improve static and dynamic performance and lightweight design of forklift telescopic booms,this paper proposes a multi-objective optimization method based on hybrid surrogate model and combined weighting-grey correlation method.Taking the cross-sectional parameters of the telescopic boom as input variables,this paper employs Spearman correlation analysis to identify the design variables that markedly influence the output responses.Using mass,total deformation,maximum stress,and second-order modal frequency as responses,a RBFNN-RSM hybrid surrogate model is built and combined with the NSGA-Ⅱ algorithm to perform multi-objective optimization of the telescopic boom.For the Pareto solution set generated by the optimization,a game theory-based subjective-objective weighting method is employed to determine the weights of the output responses.All non-dominated Pareto solutions are ranked by the gray correlation analysis to select the global optimal solution.Results show the mass of the optimized telescopic boom is down by 15.22%whereas the second natural frequency is up by 7.59%compared with the original design.关键词
伸缩臂/多目标优化/组合赋权-灰色关联法/混合近似模型/相关性分析Key words
telescopic boom/multi-objective optimization/combined weighting-grey correlation method/hybrid surrogate model/correlation analysis分类
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房占鹏,赵留凯,熊忠林,肖艳秋,姚雷..特种车辆伸缩臂力学特性分析与多目标优化设计[J].重庆理工大学学报,2026,40(11):98-106,9.基金项目
国家自然科学基金面上项目(52477227) (52477227)
河南省高等教育重点项目计划(24A460024) (24A460024)