|
|||||
|
|
| JC本构参数反求中的自适应微型遗传算法 | |
| 引用本文： | 熊渊博,程绍清,韩旭.JC本构参数反求中的自适应微型遗传算法[J].计算力学学报,2012,29(3):470-474. |
| 作者姓名： | 熊渊博 程绍清 韩旭 |
| 作者单位： | 1. 四川大学建筑与环境学院,成都610065 湖南大学机械与运载工程学院,长沙410082 2. 湖南大学机械与运载工程学院,长沙,410082 3. 四川大学建筑与环境学院,成都,610065 |
| 摘 要： | 提出自适应微型遗传算法,使种群的交叉和变异概率可以根据适应度的大小自我调节,该算法经过了测试函数的测试。本文以JC(Johnson-Cook)本构模型描述的高导无氧铜材料为例,集成运用该算法和有限元方法来反求JC动态本构参数。结果表明,该方法提高了收敛速度和搜索效率,能够快速地获取参数。 |
| 关 键 词： | 反求 JC本构 自适应 微型遗传算法 |
| 收稿时间： | 2010/11/10 0:00:00 |
| 修稿时间： | 2011/4/22 0:00:00 |
Adaptive micro-genetic algorithm and its application in JC constitutive parameters inverse |
|
| XIONG Yuan-bo,CHENG Shao-qing and HAN Xu.Adaptive micro-genetic algorithm and its application in JC constitutive parameters inverse[J].Chinese Journal of Computational Mechanics,2012,29(3):470-474. | |
| Authors: | XIONG Yuan-bo CHENG Shao-qing and HAN Xu |
| Affiliation: | School of Architecture and Environment, Sichuan University, Chengdu 610065, China;School of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China;School of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China;School of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China |
| Abstract: | Adaptive micro-genetic algorithm was developed to make the crossover probability and mutation probability adjust to the current individual fitness in the population.The algorithm was tested.Then using this method and the finite element method to reverse the parameters of the Johnson-Cook model for the high-conductivity oxygen-free copper material was analyzed.It is manifested the self-adaptive micro-genetic algorithm improves the algorithm searching speed and convergence performance effectively,obtains the parameters rapidly. |
| Keywords: | inverse problem Johnson-Cook (JC) model adaptive micro-Genetic Algorithm(μGA) |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《计算力学学报》浏览原始摘要信息 | |
| 点击此处可从《计算力学学报》下载全文 | |
