發(fā)布時(shí)間：2018-04-14 04:29

  本文選題：隧道超前預(yù)報(bào) + 三維電阻率反演��； 參考：《巖土工程學(xué)報(bào)》2017年02期

【摘要】：超前地質(zhì)預(yù)報(bào)是隧道施工中必不可少的環(huán)節(jié),將地面三維電阻率E-SCAN觀測(cè)模式引入到隧道超前預(yù)報(bào)中,其中供電與采集電極都布置在隧道掌子面,可有效降低旁側(cè)干擾因素的影響,提出了基于三維電阻率E-SCAN的隧道超前探測(cè)新型觀測(cè)模式。建立了隧道三維電阻率E-SCAN超前探測(cè)地電模型,獲得了敏感度矩陣分布特征:矩陣元素?cái)?shù)值較小且相差懸殊;元素絕對(duì)值隨深度衰減迅速;靠近供電與采集電極位置元素絕對(duì)值較高。為改善反演的深度定位問(wèn)題,對(duì)敏感度矩陣中元素施加不同大小的增益因子,對(duì)原有敏感度矩陣中高值元素進(jìn)行抑制,對(duì)低值元素進(jìn)行增益,形成了基于敏感度增益因子的隧道三維電阻率E-SCAN超前探測(cè)反演優(yōu)化方法,在理論上可以提高異常體的深度定位精度。開(kāi)展數(shù)值算例與物理模型試驗(yàn)研究,結(jié)果表明在隧道三維電阻率E-SCAN超前探測(cè)中,相較于常規(guī)光滑約束反演,反演優(yōu)化方法在異常體的深度定位精度方面具有明顯優(yōu)勢(shì)。
[Abstract]:The advanced geological prediction is an essential link in the tunnel construction. The E-SCAN observation model of surface resistivity is introduced into the tunnel advance prediction, in which both the power supply and the collecting electrode are arranged on the tunnel face.The influence of side interference factors can be reduced effectively. A new observation mode of tunnel advance detection based on 3D resistivity E-SCAN is proposed.In this paper, a geoelectric model of 3D resistivity E-SCAN for tunnel detection is established, and the distribution characteristics of sensitivity matrix are obtained: the value of matrix element is small and the difference is great, the absolute value of element decays rapidly with depth;The absolute value of the elements near the power supply and collecting electrodes is higher.In order to improve the depth localization problem of inversion, different gain factors are applied to the elements in the sensitivity matrix, the high value elements in the original sensitivity matrix are suppressed, and the low value elements are gained.Based on the sensitivity gain factor, an optimization method of tunnel 3D resistivity E-SCAN advanced detection inversion is developed, which can improve the depth localization accuracy of anomalous bodies theoretically.Numerical examples and physical model experiments are carried out. The results show that the inversion optimization method is superior to the conventional smooth constrained inversion method in depth location accuracy of anomalous bodies in tunnel 3D resistivity E-SCAN advanced detection.
【作者單位】： 山東大學(xué)巖土與結(jié)構(gòu)工程研究中心;
【基金】：國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(“973”計(jì)劃)項(xiàng)目(2013CB036002,2015CB058101) 國(guó)家重大儀器設(shè)備研制專項(xiàng)(51327802) 國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目(51139004);國(guó)家自然科學(xué)基金面上項(xiàng)目(51479104);國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目(41502279) 中國(guó)博士后科學(xué)基金項(xiàng)目(2015M572037) 國(guó)家重點(diǎn)研發(fā)計(jì)劃(2016YFC0401805)
【分類號(hào)】：U452.1;P631.322

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

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本文編號(hào)：1747741