摘要
以提高子午线轮胎12.00R20疲劳性能和磨损性能为目标,在三维非线性有限元分析的基础上,结合正交试验设计、神经网络和进化算法等建模和优化技术,建立一套数值优化设计方法。并对轮胎结构材料进行优化,优化设计后,轮胎疲劳性能和磨损性能均得到改善。
Based on orthogonal experimental design,neural network and multi-objective evolutionary algorithms,the new optimization approach for determination of structural parameter is proposed by combining the optimization technology with the 3D nonlinear FEA（finite element method）.The approach is used to optimize tire structure and material in order to improve tire fatigue performance and wear performance.Through the numerical experiment,it is confirmed that the refine optimization technique leads to good fatigue performance and a final optimum distribution of contact pressure with ground,together with the good wear performance.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2010年第10期69-72,103,共5页
Journal of Wuhan University of Technology
基金
高等学校博士学科点基金项目(20070299006)
江苏省六大人才高峰项目(07D019)
关键词
子午线轮胎
有限元分析
多目标优化
疲劳性能
磨损性能
radial tire
finite element analysis（FEA）
multi-objective optimization
fatigue performance
wear performance
