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基于Kriging的泡沫填充锥形薄壁结构耐撞性6σ稳健性优化设计
引用本文:高伟钊,莫旭辉,付锐,孙光永,钟志华.基于Kriging的泡沫填充锥形薄壁结构耐撞性6σ稳健性优化设计[J].固体力学学报,2012,33(4):370-378.
作者姓名:高伟钊  莫旭辉  付锐  孙光永  钟志华
作者单位:1. 湖南大学汽车车身先进制造国家重点实验室2. 3. 湖南大学汽车车身先进设计制造国家重点实验室
基金项目:国家973项目,牵引动力国家重点实验室开放基金,汽车仿真与控制国家重点实验室开放基金,汽车噪声振动和安全技术国家重点实验室2010年度开放基金(NVHSKL-201002)项目和汽车运输安全保障技术交通行业重点实验室开放基金
摘    要:锥形薄壁结构的耐撞性设计过程中,其设计变量和噪声因素都具有一定的波动性,都存在不确定性.传统的优化设计方法由于忽略不确定因素的影响,当设计变量产生波动时,往往会引起设计最优目标超出约束界限或者目标函数对设计变量的波动极为敏感,从而导致设计失效.为了考虑参数的不确定影响,论文提出了一种结合试验设计技术、Kriging近似...

关 键 词:6σ稳健性设计  Kriging近似建模  泡沫填充薄壁结构  耐撞性  有限元方法
收稿时间:2011-06-07

6σ ROBUSTNESS OPTIMIZATION DESIGN OF THE CRASHWORTHINESS FOR FOAM-FILLED TAPERED THIN-WALLED STRUCTURE BASED ON KRIGING METHOD
Weizhao Gao , Xuhui Mo , Rui Fu , Guangyong Sun , Zhihua Zhong.6σ ROBUSTNESS OPTIMIZATION DESIGN OF THE CRASHWORTHINESS FOR FOAM-FILLED TAPERED THIN-WALLED STRUCTURE BASED ON KRIGING METHOD[J].Acta Mechnica Solida Sinica,2012,33(4):370-378.
Authors:Weizhao Gao  Xuhui Mo  Rui Fu  Guangyong Sun  Zhihua Zhong
Institution:1(1State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University,Changsha,410082)(2Key Laboratory of Automotive Transportation Safety Technology,Xi’an,710064)
Abstract:Design variables and noise factors have some fluctuations during the process of crashworthiness design for the foam-filled tapered thin-walled structures.Conventional optimization design algorithms ignore the effect of uncertainty factors,which often causes the optimal objective function to go beyond constraints or the objective function to become very sensitive to the functions of the design variables,leading to the design failure.To address the issue,a novel robust optimization based on the experimental design method,Kriging metamodel technique,Monte Carlo method and 6σ method was presented and applied to the crashworthiness design for the foam filled tapered thin walled structures.The results showed that the crashworthiness of the thin-walled structure was improved,and the reliability and robust of the objective function was enhanced.Because the Kriging metamodel was called in the optimization process,the presented method has higher efficiency than the conventional method.Numerical example indicates that this method has a strong engineering practical application and can improve the product quantity significantly.
Keywords:6σ robustness design  Kriging method  foam-filled thin-walled structure  crashworthiness  FEM
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