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冰川冻土 ›› 2016, Vol. 38 ›› Issue (4): 898-903.doi: 10.7522/j.issn.1000-0240.2016.0101

• 岩土本构模型与参数研究 • 上一篇    下一篇


马强1, 周凤玺1 2, 刘云帅1   

  1. 1. 兰州理工大学 土木工程学院, 甘肃 兰州 730050;
    2. 兰州理工大学 西部土木工程防灾减灾教育部工程研究中心, 甘肃 兰州 730050
  • 收稿日期:2016-03-05 修回日期:2016-07-29 出版日期:2016-08-25 发布日期:2016-09-19
  • 通讯作者: 周凤玺,E-mail:geolut@163.com. E-mail:geolut@163.com
  • 作者简介:马强(1990-),男,甘肃通渭人,2015年在兰州理工大学获硕士学位,现为在读博士研究生,从事岩土力学方面的研究.E-mail:maqiang0104@163.com
  • 基金资助:

Parameter inversion analysis of saturated porous media in frequency domain

MA Qiang1, ZHOU Fengxi1 2, LIU Yunshuai1   

  1. 1. School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
    2. Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2016-03-05 Revised:2016-07-29 Online:2016-08-25 Published:2016-09-19

摘要: 基于Biot理论,假定固体颗粒和孔隙内流体均不可压缩,建立了以固体骨架位移表示的的控制方程.考虑单层饱和多孔介质在竖向简谐荷载作用下一维动力响应,通过理论推导获得了骨架位移、应力以及孔隙流体压力等物理量的解析表达式.基于饱和土的简谐动力模型试验数据,与所得到的理论解答相结合,将饱和多孔介质材料参数反演问题归结为非线性多峰函数的最优化问题.全局最优解的求解采用了遗传算法和模拟退火算法,并通过试验和数值算例验证了所得材料参数的正确性.

关键词: 饱和多孔介质, 参数反演, 遗传算法, 模拟退火算法

Abstract: Based on the Biot theory, the governing equations in terms of displacement of solid skeleton are derived, where the solid particles and fluid are assumed to be incompressible. The analytical expressions of the skeleton displacement, the soil pressure and pore fluid pressure are obtained by theoretical derivation, in which for one-dimensional transient response of single-layer fluid-saturated porous media loaded harmonic at its top surface is take into account. According to the principle that the test data of harmonic dynamic model of saturated soil and theoretical solutions should be fitted, the parameter inversion problem of porous media is reduced to optimal problem of non-linear multimode function. The genetic algorithm and simulate annealing are sued to search for the global optimal solution, and by experiments and numerical examples are demonstrate the correctness of the presented solution.

Key words: saturated porous media, parameter inversion, genetic algorithm, simulate annealing algorithm


  • TU435