【摘要】 基于细胞自动机理论和遗传算法,提出了一种物理细胞演化力学模型(ECA)。该模型利用遗传算法搜索试验所得到的应力-应变曲线所对应的最佳能量耗散率,并且可以模拟岩石的非均质性、各向异性等特性;根据该模型得出的能量耗散率模拟得到的应力-应变曲线与试验曲线得到了很好地吻合。更多还原

【Abstract】 Based on the theory of the physical cellular automata (PCA) and genetic algorithm,an evolving cellular automata is put forward. When rock failure is simulated with PCA,the energy dissipative rate has to be chosen artificially. This model makes use of genetic algorithm to search for the fittest energy dissipative rate with the stress-strain curve. And it can simulate the homogeneity and the anisotropy of the rock conveniently. So if a stress-strain curve is given,its corresponding energy dissipative rate can be attained with this model and it demonstrates that the rock will show more plasticity with the increase of the energy dissipative rate.更多还原