锻压技术

150 kN双向拉伸试验机机架结构的非概率优化设计

英文标题：Non-probabilistic optimization design of frame structure for 150 kN biaxial tensile test machine

单位：1. 中国运载火箭技术研究院空间物理重点实验室 2. 北京航空航天大学机械工程及自动化学院 3. 北京精密机电控制设备研究所

分类号：TH122

出版年,卷(期):页码：2025,50(7):173-182

摘要：

针对传统方法设计的双向拉伸试验机结构笨重和精度不足的问题，提出了结合Kriging模型和泰勒展开的非概率优化设计框架，并将其应用于150 kN机架结构的轻量化设计。建立了机架结构的非概率优化模型，并提出求解流程。对机架材料性能的不确定性进行了测试和表征，并利用Kriging模型和泰勒展开对拓扑优化机架结构进行了不确定性分析。通过遗传算法对机架结构进行优化，分析结果表明：150 kN机架的材料性能存在不确定性，拓扑优化难以得到最佳轻量化机架结构，且其确定性结果存在违反设计要求风险；提出的非概率优化设计框架可有效实现结构轻量化并确保其严格满足设计要求，经拓扑优化的150 kN机架实现了减重12.95%。

For the problem of heavy structure and insufficient precision of biaxial tensile test machine designed by the traditional method, the non-probabilistic optimization design framework combining Kriging model and Taylor expansion was proposed and applied to the lightweight design of 150 kN frame structure. Then, the non-probabilistic optimization model of frame structure was established, and a solution process was proposed. Furthermore, the uncertainty of frame material properties was tested and characterized, and the uncertainty analysis on the topological optimized frame structure was conducted by Kriging model and Taylor expansion. Finally, the frame structure was optimized by genetic algorithm, and the analysis results show that the material properties of 150 kN frame are uncertain, and it is difficult to obtain the optimal lightweight frame structure by topology optimization. Its deterministic result shows the risk of violating the design requirements. Thus, the proposed non-probabilistic optimization design framework effectively achieves the structure lightweighting and ensure that it strictly meets the design requirements,the 150 kN frame after topology optimization achieves a weight reduction of 12.95%.

基金项目：

国家自然科学基金资助项目 (51875027)

作者简介：关铂镔（1996-），男，博士，工程师 E-mail：2725385673@qq.com 通信作者：吴向东（1970-），男，博士，副教授 E-mail：wuxiangdongbuaa@163.com

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