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基于边坡稳定性分析中的Morgenstern-Price方法,提出了一种利用遗传优化算法改进传统数值计算的求解过程。该方法是一种全局优化算法,将λ和Fs作为遗传算法的染色体,推导出了合适的适应度函数进行遗传优化求解,克服了传统方法难以收敛或局部收敛的问题。基于该方法编制了Visual Basic计算程序,可以实现求解不同工况条件下边坡的二维极限平衡安全系数。通过澳大利亚ACADS考核题进行验证,这种方法收敛迅速,求解精确。
Based on the Morgenstern-Price method in slope stability analysis, a method of solving the traditional numerical calculation using genetic algorithm is proposed. This method is a global optimization algorithm, which uses λ and Fs as chromosomes of genetic algorithm, and deduces the fitness function to solve the genetic optimization problem, which overcomes the problem that the traditional method is difficult to converge or locally converge. Based on this method, a Visual Basic calculation program is compiled, which can solve the two-dimensional limit equilibrium safety factor of slope under different working conditions. Accomplished by the Australian ACADS test questions, this method converges rapidly and solves accurately.