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针对基坑开挖过程中所表现出来的时间效应以及地层横向与竖向变形的差异,采用Voigt 模型进行横观各向同性粘弹性模拟,并结合具体的施工过程,进行横观各向同性粘弹性位移优化反分析。结合具体的工程实例,分析了阻尼最小二乘法、遗传算法以及混合遗传算法对横观各向同性粘弹性位移反分析的适应性,结果发现,阻尼最小二乘法对流变参数不敏感而遗传算法则不同,可以对参数进行全面优化,而混合遗传算法集合了两者的优点,克服了阻尼最小二乘法的不足。
According to the time effect during excavation and the difference between horizontal and vertical strata deformation, Voigt model is used to simulate transverse isotropic viscoelasticity. Combined with the concrete construction process, transverse isotropic gluing Elastic Displacement Optimization Back Analysis. Combined with concrete engineering examples, the adaptability of the damping least squares method, the genetic algorithm and the hybrid genetic algorithm to the transverse isotropic viscoelastic displacement back analysis are analyzed. The results show that the damping least square method is insensitive to the rheological parameters and the genetic algorithm Different parameters can be fully optimized, and hybrid genetic algorithm combines the advantages of both to overcome the lack of damping least square method.