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large strain consolidation
相关语句
  大变形固结
    GA for parameters estimation of large strain consolidation computation of soft soil
    软土大变形固结计算中参数识别的遗传算法
短句来源
  大变形固结
    GA for parameters estimation of large strain consolidation computation of soft soil
    软土大变形固结计算中参数识别的遗传算法
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  large strain consolidation
A more general assumption than that in the classical one-dimensional large strain consolidation theory is adopted and the exact analytical solution of nonlinear finite strain self-weight consolidation based on this assumption is obtained.
      


Fully saturated soft soil has relatively great settlement under external load. The error is unacceptable when using little strain consolidation method, which can only be solved by large strain nonlinear consolidation computation. Genetic Algorithm (GA) is a global optimization and search biological modeling method. With the emerge of complex large scale nonlinear system, GA has been used increasingly in recent years and now GA can be found in many fields. In the paper, GA is improved especially in the crossover...

Fully saturated soft soil has relatively great settlement under external load. The error is unacceptable when using little strain consolidation method, which can only be solved by large strain nonlinear consolidation computation. Genetic Algorithm (GA) is a global optimization and search biological modeling method. With the emerge of complex large scale nonlinear system, GA has been used increasingly in recent years and now GA can be found in many fields. In the paper, GA is improved especially in the crossover operator and the roulette wheel model. Then the improved GA is applied to the large strain consolidation problems to estimate the key parameters. Research indicates that this method is quite effectual and worth studying further.

含水量很高的饱和软土在外荷载作用下沉降很大,小变形分析误差太大,必须通过大变形非线性固结计算来模拟。遗传算法是一种全局优化和搜索的仿生算法。近年来随着工程领域中复杂的大规模非线性系统的出现,遗传算法日益得到青睐,目前已经广泛应用到各个领域中。本文对遗传算法做了改进,主要体现在杂交算子的选取和轮盘赌模型的模拟退火拉伸,并将其用于饱和软土的大变形固结分析,解决其中的关键参数识别问题。研究表明该方法是行之有效的,值得进一步研究探索。

 
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