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作 者:许增光[1] 王雪[1] 柴军瑞[1] 覃源[1] XU Zengguang;WANG Xue;CHAI Junrui;QIN Yuan(State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China,Xi’an University of Technology,Xi’an 710048,China)
机构地区:[1]西安理工大学省部共建西北旱区生态水利国家重点实验室,陕西西安710048
出 处:《西安理工大学学报》2018年第1期43-47,共5页Journal of Xi'an University of Technology
基 金:国家自然科学基金资助项目(51679193;51409206);陕西省自然科学基金资助项目(2016JM5057)
摘 要:在地下水开发利用、水利工程坝基渗漏安全、岩土工程等领域经常会出现渗流问题,因此,渗流场的研究则显得尤为重要。而渗透系数的分布规律是模拟计算渗流场的前提。本文主要是基于实测电阻率,采用经验公式法和人工神经网络法求解渗透系数。对两种方法求得的渗透系数进行对比,分析讨论了方法之间的优缺点及其适用条件,从而为经济、高效获取渗透系数分布规律奠定基础。Seepage problems exist in exploitation and utilization of groundwater,dam foundation seepage safety of water conservancy project,geotechnical engineering and other fields.Therefore,the research on seepage field is particularly of importance.The distribution law of hydraulic conductivity is the precondition of simulating seepage field.This paper is based mainly on the measured resistivity,with the empirical formula method and artificial neural network method used to solve hydraulic conductivity.The hydraulic conductivities of the two methods are compared,with the advantages and disadvantages of these methods and their applicable conditions discussed.It lays a foundation for obtaining the distribution law of hydraulic conductivity economically and efficiently.
分 类 号:P631.322[天文地球—地质矿产勘探]
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