Uncertainty Optimization Design of Vehicle Body Structure Considering Random Deviations
作者单位：School of Mechanical & Automotive EngineeringSouth China University of Technology South China University of TechnologyGuangdong Provincial Key Laboratory of Automotive Engineering
会议名称：《2018中国汽车工程学会年会》
会议日期：2018年
学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程]
关 键 词：body structure lightweight approximate models 6orobustness criteria MCS single-loop optimization strategy
摘 要：During the vehicle body manufacturing,because of the processing technology,the environmental and other uncertain factors,there has to be a little difference between theactual value and the design value of platethickness,the material characteristics,etc...Therefore,the performance of the vehicle body processedaccording to the *** fluctuations may make structural performance fail to meet the design ***,anoptimization design is executed with 6σ robustness criteria and MCS single-loop optimization strategy based on the radial basis function neural network approximate model,considering the deviationsin plates’ thickness,elastic modulus and welding spot’s diameter,so called the uncertainty optimization design *** example,taking the bending stiffness,torsion stiffnessand 1 st-order frequency as constraints,the method is applied in lightweight design of a car body structure,and the comparison between the reliability ofdeterministicoptimization design and uncertainty optimization design is *** shows that the uncertainty optimization design solution is effective and feasible,without lowering the static stiffness and modalperformance,while the weight is reduced.