摘要
初始渗流场的确定对于工程渗控设计具有重要的指导意义,而影响初始渗流场计算结果的主要因素为渗透系数和边界水头。因此,从提高初始渗流场计算结果的准确性出发,将裂隙产状和压水试验相结合来确定裂隙岩体渗透张量,并将粒子群算法应用到边界水头的反演中。工程实例表明,相比于传统的初始渗流场确定方法,采用所提方法计算所得测孔水位与实测水位误差更小,说明该方法有效可行。
The determination of initial seepage field has important guiding significance to seepage control design of engineering.The main factors influencing the calculation result of initial seepage field are permeability coefficient and boundary water head.Aiming at improving the computational accuracy of initial seepage field,this paper combines occurrence and water pressure test to determine the permeability tensor of fractured rock mass,and applies PSO to the inversion of boundary water head.The engineering example shows that compared with traditional method,the error between calculated water level and measured water level is smaller,which demonstrates the effectiveness and feasibility of this method.
出处
《水电能源科学》
北大核心
2017年第10期77-80,共4页
Water Resources and Power
基金
国家重点研发计划(2015CB057904)
国家自然科学基金重大研究计划项目(51579191)
关键词
裂隙岩体
初始渗流场
渗透张量
边界水头
粒子群算法
反演
fractured rock mass
initial seepage field
permeability tensor
boundary water head
particle swarm optimization
inversion