在地下洞室及隧道涌水量预测分析中,由于岩体周围节理裂隙等地质构造发育的影响,渗流场中渗透系数存在极大的空间差异性, 用确定性方法很难准确地模拟实际情况, 将其视为随机场更符合实际. 文章运用FLAC3D有限差分软件进行数值计算,考虑了岩体中节理裂隙的随机性所造成的渗透系数的随机特性,并运用随机场理论原理,通过同时对随机场中各单元赋予随机的渗透参数,将渗透系数作为随机变量进行了渗流数值模拟分析.结果表明,考虑空间的各向异性,可更准确合理地预测地下洞室渗流场的涌水量. 将计算结果与经验公式及实际现场监测统计值进行比较,阐述渗流随机场模拟的适用条件,对实际工程涌水量预测具有参考价值.%Regarding the predictive analysis of water inflows in tunnels and underground caverns, the permeabil-ity coefficients of seepage fields have great spatial differences induced by developed geological structures such as joints and fissures around rock masses. It is difficult to accurately simulate an actual situation by a deterministic method, and it is more realistic to regard it as a random field. In this paper, a numerical calculation was conduct-ed using the FLAC3D finite difference software and considering random characteristics of the permeability coeffi-cient caused by the randomness of joints and fissures in a rock mass, and based on the random field theory, the permeability coefficient was introduced as a random variable to carry out a numerical simulation analysis on seepage by giving a random permeability coefficient to each unit of the random field. The results show that the prediction of water inflows in the seepage field in underground caverns will be more accurate and reasonable when considering the spatial anisotropy. Based on a comparison of simulation results, calculation results by the empirical formula and field monitoring statistics, the application conditions of the random seepage field simulation are presented, providing a reference for water inflow prediction in practical engineering.
展开▼
