改进的遗传算法求解固结系数

Consolidation Coefficient Evaluation Using an Improved Genetic Algorithm

基于太沙基一维固结理论,根据遗传算法原理,推导了固结系数与固结时间的参数关系,为固结系数的求解提供了一种计算方法。该法避免了图解法的缺陷,消除了时间对数法等计算方法由于需要确定沉降初始值的误差影响。求解中根据生物进化原理,便于计算机数据处理。通过与现有方法比较,发现该方法准确、可靠和简便,可有效消除人为因素,而取得较好的计算结果。

According to the one-dimensional Terzaghi＇s consolidation theory, the relationship between the consolidation coefficient and time is deduced based on a genetic algorithm （GA）, which could be used to propose a new method for evaluating the analytical solution of the consolidation coefficient. This new method avoids the disadvantages of graphical methods and eliminates the influence of initial settlement and secondary consolidation. Simulation software can be used to process the original data based on the GA principle. Compared with other traditional methods, the new method can determine the consolidation coefficient in practice with high accuracy, reliability and convenience. In addition, the GA can diminish jamming and produce a precise result.