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摘要: 根据实测应力历史曲线建立非线性优化模型,以确定材料物态方程参数。将全局优化性能良好的遗传算法应用于优化过程。针对2号纯铁的一维平面碰撞实验记录,用这种方法计算了铁的物态方程参数C0和s,并将结果同用BFGS算法得到的结果进行了比较。Abstract: Genetic algorithms (GA), emulating the wonderful mechanism of evolution and natural selection of living organisms in nature, are regarded to be among the most promising optimization techniques. In this paper, a genetic algorithm was implemented to decide the target Grneisen-Hugoniot EOS parameters, using the stress history recorded with a Lagrangian gauge in a plane impact experiment. The results are in good agreement with the corresponding actual values. Comparison is made between the optimized results using GA and those obtained using BFGS with different initial iteration points.
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Key words:
- nonlinear optimization /
- equation of state /
- genetic algorithm
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徐锡申, 张万箱, 等. 实用物态方程埋论导引. 北京: 科学出版社, 1986. 刘永, 康立山, 陈毓屏. 非数值并行算法(第2册)遗传算法. 北京: 科学出版社, 1995. 经福谦, 韩钧万. 爆炸与冲击. 1982, 2(4): 19-23. 江焊满, 张若棋, 张寿齐. 用冲击波应力历史曲线确定材料物态方程参数. 爆炸与冲击(待发表).
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