水庫滲漏并行電法測試模擬試驗研究
發(fā)布時間：2018-07-31 18:50
【摘要】：目前在水庫大壩物探勘查方法中電法勘探主要采用的是高密度電法,但其施工效率和探測分辨率仍可以提高。本次研究采用并行電法技術(shù)對水庫大壩滲漏病害進行模擬測試,在正演模擬實驗及室內(nèi)物理模型實驗中分別設(shè)置了6種不同類型的滲漏形式,采用AM和ABM兩種方法采集和處理從而獲得壩體在不同含水率的條件下并行電法對滲漏的探測敏感性及分辨率,實驗結(jié)果表明： (1)土體電阻率與其含水率有很大關(guān)系。土體較干燥時,其電阻率較大,隨著土體含水率的增大,其電阻率隨之逐漸減��；當含水率減小到一定值時,其電阻率值下降速率突然增大；當電阻率降低到一定值后,電阻率值減小速率變小,最終達到一較小的穩(wěn)定值。 (2)土壩壩體中不同異常體的電性特征表現(xiàn)各異,受異常體空間范圍的影響,其分辨程度也有所不同。模型中對于大尺寸異常體的電性反應(yīng)效果明顯,其分辨能力強,而對于小尺寸異常體的分辨效果相對較差。 (3)從室內(nèi)數(shù)值模擬結(jié)果和物理模擬結(jié)果均表明,AM法在數(shù)據(jù)反演后得到的圖像能較好的反映出模型設(shè)置的滲漏通道的位置,以實驗結(jié)果作為依據(jù)將并行電法用于實際水庫探測中,取得了良好的探測效果。 (4)本次研究認為相對于背景電阻率,局部的低于背景值一倍以上的低阻區(qū)(50～100Ω·m或更小)可能與填筑料質(zhì)量差、壩體裂縫等因素引起的滲漏相關(guān)。 通過數(shù)值仿真、室內(nèi)模型及現(xiàn)場測試的綜合研究,獲得了一些背景電阻率與異常區(qū)電阻率的特征,初步確定了水庫壩體滲漏電性參數(shù)判定標準,為目標異常定量解釋提供相對可靠的依據(jù)。為現(xiàn)場探測和結(jié)果解釋提供了一個參照。
[Abstract]:At present, the high density electric method is mainly used in the exploration method of reservoir dam geophysical exploration, but its construction efficiency and detection resolution can still be improved. In this study, parallel electric method was used to simulate and test dam leakage disease. Six different types of seepage were set up in forward simulation experiment and indoor physical model experiment. The sensitivity and resolution of the parallel electrical method for detecting leakage under different water content are obtained by means of AM and ABM. The experimental results show that: (1) the resistivity of soil is closely related to the water content of the dam. When the soil is dry, the resistivity of the soil is larger, with the increase of the water content of the soil, the resistivity decreases gradually; when the water content decreases to a certain value, the decrease rate of the resistivity value increases suddenly; when the resistivity decreases to a certain value, the resistivity decreases to a certain value. The resistivity value decreases and finally reaches a small stable value. (2) the electrical characteristics of different abnormal bodies in the earth dam body are different and the resolution degree is different due to the influence of the space range of the abnormal body. In the model, the effect of electrical reaction on large size abnormal body is obvious, and its resolution ability is strong. But the resolution effect of the small abnormal body is relatively poor. (3) from the indoor numerical simulation results and the physical simulation results, it is shown that the image obtained from the inversion of the data can reflect the location of the leakage channel set up by the model. Based on the experimental results, the parallel electrical method is applied to the actual reservoir detection, and good detection results are obtained. (4) in this study, relative to the background resistivity, The local low resistance area (50 ~ 100 惟 m or less), which is more than one time below the background value, may be related to the leakage caused by the poor quality of the filling material and the cracks in the dam body. Through numerical simulation, laboratory model and field test, some characteristics of background resistivity and abnormal area resistivity are obtained, and the criteria for determining leakage electrical parameters of reservoir dam body are preliminarily determined. It provides a relatively reliable basis for quantitative interpretation of target anomalies. It provides a reference for field detection and interpretation of results.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TV697.2;P631.3
本文編號：2156512
[Abstract]:At present, the high density electric method is mainly used in the exploration method of reservoir dam geophysical exploration, but its construction efficiency and detection resolution can still be improved. In this study, parallel electric method was used to simulate and test dam leakage disease. Six different types of seepage were set up in forward simulation experiment and indoor physical model experiment. The sensitivity and resolution of the parallel electrical method for detecting leakage under different water content are obtained by means of AM and ABM. The experimental results show that: (1) the resistivity of soil is closely related to the water content of the dam. When the soil is dry, the resistivity of the soil is larger, with the increase of the water content of the soil, the resistivity decreases gradually; when the water content decreases to a certain value, the decrease rate of the resistivity value increases suddenly; when the resistivity decreases to a certain value, the resistivity decreases to a certain value. The resistivity value decreases and finally reaches a small stable value. (2) the electrical characteristics of different abnormal bodies in the earth dam body are different and the resolution degree is different due to the influence of the space range of the abnormal body. In the model, the effect of electrical reaction on large size abnormal body is obvious, and its resolution ability is strong. But the resolution effect of the small abnormal body is relatively poor. (3) from the indoor numerical simulation results and the physical simulation results, it is shown that the image obtained from the inversion of the data can reflect the location of the leakage channel set up by the model. Based on the experimental results, the parallel electrical method is applied to the actual reservoir detection, and good detection results are obtained. (4) in this study, relative to the background resistivity, The local low resistance area (50 ~ 100 惟 m or less), which is more than one time below the background value, may be related to the leakage caused by the poor quality of the filling material and the cracks in the dam body. Through numerical simulation, laboratory model and field test, some characteristics of background resistivity and abnormal area resistivity are obtained, and the criteria for determining leakage electrical parameters of reservoir dam body are preliminarily determined. It provides a relatively reliable basis for quantitative interpretation of target anomalies. It provides a reference for field detection and interpretation of results.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TV697.2;P631.3
【參考文獻】
相關(guān)期刊論文 前10條
1 丁祖榮;;淺析土石壩滲漏原因及防滲處理[J];廣東科技;2013年14期
2 花曉鳴;吳豐收;;地質(zhì)雷達在水電站壩基工程中的應(yīng)用研究[J];華北水利水電學(xué)院學(xué)報;2012年03期
3 李麗文;;病險水庫工程地質(zhì)存在的問題及應(yīng)對措施[J];黑龍江水利科技;2013年01期
4 唐毅;施俊躍;彭洪;王東;程黎明;蔡小仁;牛坤;;浙江省土石壩病險水庫特征研究[J];浙江水利科技;2013年01期
5 李新民;周志芳;王良太;周彥章;趙燕容;;中梁水電站壩區(qū)滲漏計算與評價[J];勘察科學(xué)技術(shù);2013年04期
6 楊啟貴;高大水;;我國病險水庫加固技術(shù)現(xiàn)狀及展望[J];人民長江;2011年12期
7 王兵;陸新;周培岳;;高密度電阻率法在病壩水庫探測中的應(yīng)用[J];四川建筑;2007年06期
8 屈昌華;;中小型水庫壩基巖溶管道滲漏勘察與處理實例[J];探礦工程(巖土鉆掘工程);2007年10期
9 沈健;彭忠岳;;壩基深層滲漏通道處理施工方案[J];人民珠江;2013年01期
10 戴永堅;;山西省松塔水電站樞紐工程壩基滲漏及壩基工程處理[J];水利建設(shè)與管理;2013年01期
相關(guān)博士學(xué)位論文 前1條
1 郭秀軍;污染含水介質(zhì)ERT法探測技術(shù)研究[D];中國海洋大學(xué);2009年
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