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层状地层粘弹性优化反分析与混合遗传算法

Viscoelasticity Back Analysis for Layered Ground and Hybrid Genetic Algorithm

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【摘要】 本文针对基坑开挖过程所表现出来的时间效应 ,采用Voigt粘弹性模型进行模拟 ,并结合具体的施工过程 ,进行粘弹性位移优化反分析。由于遗传算法具有早熟收敛 ,并且在进化后期有搜索能力较低等特点 ,把阻尼最小二乘法和遗传算法结合起来 ;并结合具体的工程实例 ,对遗传算法以及混合遗传算法进行了对比分析。结果发现 ,混合遗传算法在保证搜索精度的基础上加快了搜索速度。

【Abstract】 To simulate the time effect of soil during excavation of foundation pit, the Voigt model on visco elasticity was used; besides, the viscoelastic displacement back analysis was employed during construction process. Due to that the genetic algorithm is characterized by earlier mature and slow convergent in the later stage of evolution, it was combined with damped least squares method. Viscoelasticity back analysis was carried out in the excavation by genetic algorithm and hybrid genetic algorithm and the applicability of two methods to viscoelastic displacement back analysis was discussed. It shows that in comparison with genetic algorithm, the hybrid genetic algorithm increases the speed of search without loss of accuracy.

  • 【文献出处】 地下空间 ,Underground Space , 编辑部邮箱 ,2003年04期
  • 【分类号】TU452
  • 【被引频次】5
  • 【下载频次】119
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