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| Adaptive micro-genetic algorithm and its application in JC constitutive parameters inverse |
| Received:November 10, 2010 Revised:April 22, 2011 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20123030 |
| KeyWord:inverse problem Johnson-Cook (JC)model adaptive micro-Genetic Algorithm(μGA) |
| Author | Institution |
| 熊渊博 |
四川大学 建筑与环境学院, 成都 ;湖南大学 机械与运载工程学院, 长沙 |
| 程绍清 |
湖南大学 机械与运载工程学院, 长沙 |
| 韩旭 |
湖南大学 机械与运载工程学院, 长沙 |
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| 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. |