Back analysis of permeability coefficients for fractures of rock mass

GAO Wei

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Back analysis of permeability coefficients for fractures of rock mass

更新时间：2026-06-25

- Back analysis of permeability coefficients for fractures of rock mass
- Vol. 27, Issue S2, (2006)
- 作者机构：
  
  1. 武汉工业学院土木工程系,武汉,430023
  2. 中国科学院武汉岩土力学研究所,武汉,430071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TV223.4
- Online First：16 December 2006，
  
  Published：2006
- 稿件说明：
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GAO Wei. Back analysis of permeability coefficients for fractures of rock mass[J]. 2006, 27(S2).
DOI：

GAO Wei. Back analysis of permeability coefficients for fractures of rock mass[J]. 2006, 27(S2). DOI：

摘要

天然岩体存在很多裂隙，而水在这些裂隙中的渗流严重影响岩石工程的稳定性，因此确定天然岩体渗透系数具有重大的实际意义。反演方法是确定岩体渗透系数的一种较理想的方法，渗透系数反演可归结为一个复杂的非线性函数优化问题。由于采用传统优化技术存在不少问题，而目前采用的全局优化算法—遗传算法也存在本质的问题，因此，提出仿生算法-免疫进化规划进行岩体渗透系数反演，并用一个大坝坝基工程的算例证明了算法的有效性。结果表明，其方法可以在仅知道水头的条件下，得到接近实际的渗透系数值。

Abstract

There are many fractures in natural rock mass. The stability of rock engineering is severally affected by the seepage of water through these fractures. So

determination of the permeability coefficient of those fractures is very important. The back analysis is a suitable method to determine those parameters. But it is a complicated optimum problem of nonlinear function of back analysis of seepage parameters for rock mass. To solve this problem

there exist a lot of shortcomings to use traditional optimum methods

including genetic algorithm. So

a more suitable bionics algorithm

immunized evolutionary programming proposed by the author is used to solve this problem. At last

this new back analysis method is tested by a typical example. The results show that

the permeability coefficients by proposed algorithm are close to the real ones that can be gotten only through the known water head results.

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