Abstract: Analysis on seepage field is necessary as underground water would exert influence on structural stability and safety, and the water-gushing and leakage would affect the construction and operation of project. The properties of rock mass and soil are complex and unpredictable, it's difficult to fully understand the permeability of project via limited in situ experimental data. In this paper, a modified Particle Swarm Optimizer is presented to back-analyze 3D seepage field. Based on the measured data, the distribution and development law of groundwater and seepage field are back-analyzed, to provide technical support for operation management, overhaul and maintenance.

Key words: underground project, underground water, seepage field, back analysis

摘要： 地下水渗流直接威胁到结构稳定及安全，隧道（洞）、巷道等涌水、渗漏对其施工、运行有重大影响，因此工程中往往需要进行渗流场分析。岩土介质具有明显的复杂性和不确定性，有限的原位试验数据无法完全反映工程区域的渗透特性，采用粒子群优化算法进行复杂三维渗流场优化反演。基于现场实测数据反演地下水渗流场分布和运移规律，为工程运行管理、检修、维护等提供技术支持。

关键词: 地下工程, 地下水, 渗流场, 反演分析