| 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 |
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| JC本构参数反求中的自适应微型遗传算法 |
| Adaptive micro-genetic algorithm and its application in JC constitutive parameters inverse |
| 投稿时间：2010-11-10 修订日期：2011-04-22 |
| DOI：10.7511/jslx20123030 |
| 中文关键词: 反求 JC本构 自适应 微型遗传算法 |
| 英文关键词:inverse problem Johnson-Cook (JC)model adaptive micro-Genetic Algorithm(μGA) |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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