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作 者:李作轩 贾良跃 郝佳[1] 王超[4] 王国新[1] 明振军 阎艳[1] LI Zuoxuan;JIA Liangyue;HAO Jia;WANG Chao;WANG Guoxin;MING Zhenjun;YAN Yan(Institute of Industrial and Systems Engineering,Beijing Institute of Technology,Beijing 100081,China;Yangtze Delta Region Institute of Beijing Institute of Technology,Jiaxing 314019,Zhejiang,China;Key Laboratory of Industry Knowledge&Data Fusion Technology and Application of Ministry of Industry and Information Technology,Beijing Institute of Technology,Beijing 100081,China;China North Vehicle Research Institute,Beijing 100072,China)
机构地区:[1]北京理工大学工业与智能系统工程研究所,北京100081 [2]北京理工大学长三角研究院,浙江嘉兴314019 [3]北京理工大学工业知识与数据融合应用工业和信息化部重点实验室,北京100081 [4]中国北方车辆研究所,北京100072
出 处:《兵工学报》2023年第11期3529-3542,共14页Acta Armamentarii
基 金:国家重点研发计划项目(2021YFB1714500)。
摘 要:未来战场的多样化对特种无人车辆的环境适应性提出了更高的要求。为满足特种无人车辆的多工况使用、高机动能力与低成本研制等要求,采用多工况关联设计与轻量化优化的思路对无人车桁架车身结构进行优化设计。考虑到多工况的车身结构设计变量多、设计空间大,面临仿真次数过多的问题,提出基于多工况关联的车身结构轻量化优化方法,利用设计变量区间缩减策略减小设计空间;引入高斯过程代理模型替换仿真分析实现结构设计方案性能的快速评估;结合遗传算法实现方案的优化。实验结果表明,最终优化方案在通过车身刚度强度和模态等多学科性能仿真验证的情况下,质量比初始方案降低14.12%,比只用高斯过程优化设计的方案降低8.87%。The higher requirements are put forward for the environmental adaptability of special unmanned vehicles in the future battlefield.In order to meet the requirements of multi-working conditions,high maneuverability and low-cost development of special unmanned vehicles,the truss body structure of unmanned vehicles is optimized by the idea of multi-working conditions correlation design and lightweight optimization.However,considering that there are many design variables,large design space and too many simulation times in multi-working conditions,a lightweight optimization method of body structure based on multi-working conditions correlation is proposed;In the proposed method,the strategy of reducing design variables interval is used to reduce the design space.Gaussian process surrogate model is introduced to replace the simulation analysis for realizing the rapid performance evaluation of structural design scheme,and the optimization of the scheme is realized using genetic algorithm.The experimental results show that the mass of the final optimization scheme is 14.12%lower than that of the initial scheme and 8.87%lower than that of the scheme optimized only by Gaussian process under the condition of multi-disciplinary performance simulation verification,such as stiffness,strength and mode.
关 键 词:无人车辆 车身结构轻量化 多工况关联 设计空间缩减 代理模型 优化设计
分 类 号:TJ819[兵器科学与技术—武器系统与运用工程]
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