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作 者:宋俊磊 周丹 肖国强[4] 周华敏[4] 董凯锋 晋芳 莫文琴 惠亚娟 Song Junlei;Zhou Dan;Xiao Guoqiang;Zhou Huamin;Dong Kaifeng;Jin Fang;Mo Wenqin;Hui Yajuan(School of Automation,China University of Geosciences,Wuhan 430074,China;Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,Wuhan 430074,China;Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,Wuhan 430074,China;Changjiang River Scientific Research Institute of Changjiang Water Resources Commission,Wuhan 430019,China)
机构地区:[1]中国地质大学(武汉)自动化学院,武汉430074 [2]复杂系统先进控制与智能自动化湖北省重点实验室,武汉430074 [3]地球探测智能化技术教育部工程研究中心,武汉430074 [4]长江水利委员会长江科学院,武汉430019
出 处:《吉林大学学报(地球科学版)》2024年第4期1362-1372,共11页Journal of Jilin University:Earth Science Edition
基 金:国家重点研发计划项目(2017YFC1502600)。
摘 要:快速确定堤防渗漏隐患的位置信息,对堤防的治理具有重要意义。然而在渗漏通道弱磁数据处理过程中,堤防正常场计算往往需要花费较长时间,严重制约着渗漏隐患的定位效率。为解决上述问题,本文基于有限单元法开展了磁电阻率法探测堤防渗漏的建模仿真工作,探究了不同尺寸堤防内稳定电流场及其外部磁场的分布特性,并构建了一定数量的模型数据库。研究结果表明,磁感应强度y分量在测域中部的整体波动相较于x分量和z分量更大,其值随堤防上宽的增加呈下降趋势,而随斜坡角度的增大或堤防主体高度的增加呈上升趋势。依据本文总结的分布特性,可以预测数据库中缺失的堤防正常场,堤防模型的预测平均相对误差为9.63%。It is of great significance to quickly determine the location information of seepage hazard for the treatment of embankments.However,in the process of magnetic weakening data processing of leakage channel,it often takes a long time to calculate the normal field of an embankment,which seriously restricts the locating efficiency of potential leakage hazards.In order to solve the above problems,based on the finite element method,the modeling and simulation of the detection of embankment leakage by magnetometric resistivity method was carried out,and the distribution characteristics of the internal stable current field and the external magnetic field of the embankment with different sizes were explored,and a certain number of model databases were built.The results show that the overall fluctuation value of y component of magnetic induction intensity in the middle part of the measurement domain is larger than that of x component and z component,and its value decreases with the increase of the upper width of the embankment,and increases with the increase of the slope angle or the height of the embankment.According to the distribution characteristics summarized in this paper,the missing normal field of embankment in the database can be predicted,and the mean relative error of the embankment model is 9.63%.
分 类 号:P631[天文地球—地质矿产勘探]
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