【摘要】：我國(guó)已進(jìn)入軌道交通建設(shè)高速發(fā)展期,如何更為有效地控制盾構(gòu)施工引起的地表沉降、實(shí)現(xiàn)盾構(gòu)施工地表沉降超前預(yù)警具有重要的現(xiàn)實(shí)意義。目前盾構(gòu)施工技術(shù)領(lǐng)域正在積極開(kāi)展有關(guān)操作更簡(jiǎn)便、預(yù)測(cè)更可靠及普適性更強(qiáng)預(yù)測(cè)方法的研究,為地表沉降預(yù)警提供更為可靠的解決方案。本文主要采用基于支持向量機(jī)的分析方法開(kāi)展盾構(gòu)施工地表沉降預(yù)警系統(tǒng)的研究。以廣州市軌道交通四號(hào)線南延段某盾構(gòu)區(qū)間為工程背景,在詳細(xì)研究國(guó)內(nèi)外盾構(gòu)施工地表沉降預(yù)測(cè)技術(shù)的基礎(chǔ)上,主要開(kāi)展以下研究工作:(1)開(kāi)展了有關(guān)上軟下硬地層對(duì)盾構(gòu)隧道地表沉降預(yù)測(cè)結(jié)果影響的研究。運(yùn)用有限元數(shù)值模擬軟件Midas GTS NX,建立考慮開(kāi)挖面穿越復(fù)合地層和忽略開(kāi)挖面穿越復(fù)合地層的兩種三維有限元模型,對(duì)比分析其預(yù)測(cè)結(jié)果。進(jìn)一步研究盾構(gòu)推進(jìn)過(guò)程中橫向地表沉降的變化規(guī)律,并將模型預(yù)測(cè)結(jié)果與工程實(shí)測(cè)數(shù)據(jù)、Yoshikoshi經(jīng)驗(yàn)公式法預(yù)測(cè)結(jié)果對(duì)比分析,用以檢驗(yàn)三維數(shù)值模擬預(yù)測(cè)結(jié)果的可靠性。研究表明,當(dāng)盾構(gòu)開(kāi)挖穿越復(fù)合地層時(shí),應(yīng)考慮復(fù)合地層分層情況;基于Midas GTS NX的上軟下硬地層盾構(gòu)法隧道地表沉降預(yù)測(cè)模型具有較高的精確度和可靠性,所輸出預(yù)測(cè)值可較好地預(yù)測(cè)實(shí)際施工中的地表沉降。(2)在研究支持向量機(jī)理論和算法的基礎(chǔ)上,將支持向量機(jī)技術(shù)與模糊信息�；夹g(shù)結(jié)合,運(yùn)用于實(shí)現(xiàn)盾構(gòu)施工地表沉降超前預(yù)警的研究工作中。研究由選擇一種更為適用的支持向量機(jī)尋參方法開(kāi)始,分別運(yùn)用網(wǎng)格尋參法及粒子群優(yōu)化尋參法,建立兩種不同尋參方法的模糊信息粒化非線性回歸預(yù)測(cè)分析支持向量機(jī),對(duì)比分析其盾構(gòu)施工地表沉降的預(yù)測(cè)結(jié)果。研究結(jié)果表明,在地表沉降預(yù)警系統(tǒng)中運(yùn)用網(wǎng)格尋參法支持向量機(jī)更為可靠,可輸出預(yù)測(cè)結(jié)果變化空間和變化趨勢(shì),是一種實(shí)現(xiàn)盾構(gòu)隧道地表沉降超前預(yù)警的新途徑。(3)在MATLAB軟件圖形用戶界面(GUI)中,基于模糊信息粒化網(wǎng)格尋參法支持向量機(jī),編寫(xiě)代碼實(shí)現(xiàn)盾構(gòu)施工地表沉降預(yù)警系統(tǒng)的建立。系統(tǒng)主要目標(biāo)為針對(duì)不同地質(zhì)條件自動(dòng)提取儲(chǔ)存的相關(guān)工程數(shù)據(jù),實(shí)現(xiàn)數(shù)據(jù)查看與地表沉降預(yù)測(cè),并完成對(duì)存在不安全因素盾構(gòu)區(qū)間進(jìn)行預(yù)警。為實(shí)現(xiàn)系統(tǒng)功能,從背景、數(shù)據(jù)讀入、地表沉降預(yù)測(cè)、預(yù)警功能等方面開(kāi)展了相關(guān)研究工作。開(kāi)發(fā)的盾構(gòu)施工地表沉降預(yù)警系統(tǒng),有較好的可操作性,預(yù)測(cè)結(jié)果可靠度較高,對(duì)實(shí)際盾構(gòu)隧道施工具有一定現(xiàn)實(shí)指導(dǎo)意義。
[Abstract]:China has entered the high-speed development period of rail transit construction. How to control the surface settlement caused by shield construction more effectively and realize the advance early warning of surface settlement in shield construction is of great practical significance. At present, the shield construction technology field is actively carrying out the research on the methods of more convenient operation, more reliable prediction and stronger universality, so as to provide a more reliable solution for the early warning of surface settlement. In this paper, the analysis method based on support vector machine (SVM) is used to study the ground settlement early warning system of shield construction. Based on the engineering background of a shield region in the southern extension of Guangzhou Rail Transit Line 4, based on the detailed research on the surface settlement prediction technology of shield construction at home and abroad, The main research work is as follows: (1) the influence of upper soft and lower hard strata on the prediction of ground subsidence of shield tunnel is studied. The finite element numerical simulation software Midas GTS NX, is used to establish two kinds of three-dimensional finite element models considering the cut face traversing the composite formation and neglecting the cut surface crossing the composite formation, and the prediction results are compared and analyzed. In order to verify the reliability of the prediction results of 3D numerical simulation, the variation rule of lateral surface settlement during shield propulsion is further studied, and the prediction results of the model are compared with the measured data, and the Yoshikoshi empirical formula method is used to predict the reliability of the prediction results. The results show that the delamination of composite strata should be considered when shield is excavated through composite strata. Based on Midas GTS NX, the prediction model of tunnel surface settlement with shield method in upper soft and lower hard strata has high accuracy and reliability. The output prediction can predict the ground subsidence in actual construction well. (2) on the basis of studying the theory and algorithm of support vector machine (SVM), the support vector machine (SVM) and fuzzy information granulation (FIS) are combined with each other. It is used in the research of advance early warning of ground settlement in shield construction. The research begins with choosing a more suitable parameter finding method of support vector machine, using grid parameter finding method and particle swarm optimization parameter finding method, respectively, to establish two different parameter seeking methods of fuzzy information granulation nonlinear regression prediction support vector machine. The prediction results of ground settlement in shield construction are compared and analyzed. The results show that the grid seeking parameter support vector machine is more reliable in the early warning system of surface subsidence, and it can output the change space and trend of prediction results. It is a new way to realize advance early warning of ground subsidence of shield tunnel. (3) in MATLAB software graphical user interface (GUI), based on fuzzy information graining grid search method, support vector machine (SVM), The code is written to realize the establishment of the ground settlement early warning system for shield construction. The main objective of the system is to automatically extract and store relevant engineering data according to different geological conditions, to realize data viewing and surface settlement prediction, and to complete the early warning of shield regions with unsafe factors. In order to realize the system function, the related research work is carried out from the aspects of background, data reading, surface subsidence prediction, early warning function and so on. The ground settlement pre-warning system developed for shield construction has good maneuverability and high reliability of prediction results, which has certain practical guiding significance for the actual shield tunnel construction.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：U455.43

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 朱洪威;宋臻;關(guān)天浪;;上軟下硬地層盾構(gòu)法隧道地表沉降的數(shù)值模擬預(yù)測(cè)[J];江西理工大學(xué)學(xué)報(bào);2017年01期

2 謝雄耀;李軍;王強(qiáng);;盾構(gòu)施工地表沉降自動(dòng)化監(jiān)測(cè)及數(shù)據(jù)移動(dòng)發(fā)布系統(tǒng)[J];巖土力學(xué);2016年S2期

3 周誠(chéng);余群舟;;基于MAMPSO-RBFNN的盾構(gòu)地表變形時(shí)空演化智能預(yù)測(cè)[J];施工技術(shù);2016年13期

4 胡群芳;李敏;王飛;;我國(guó)城市地鐵隧道盾構(gòu)施工刀具磨損性分區(qū)研究[J];現(xiàn)代隧道技術(shù);2016年02期

5 蔣彪;皮圣;陽(yáng)軍生;牟友滔;;長(zhǎng)沙地鐵典型地層盾構(gòu)施工地表沉降分析與預(yù)測(cè)[J];地下空間與工程學(xué)報(bào);2016年01期

6 顧其波;鄭榮躍;楊芬;劉干斌;黃勇;;寧波軟土盾構(gòu)隧道施工地表沉降分析[J];水文地質(zhì)工程地質(zhì);2016年01期

7 麻鳳海;趙陽(yáng)豪;;地鐵盾構(gòu)施工引起的地表沉降預(yù)測(cè)[J];地震研究;2016年01期

8 于德海;張濤;姜諳男;;復(fù)雜條件下地鐵盾構(gòu)施工過(guò)程的影響因素分析[J];鐵道工程學(xué)報(bào);2015年05期

9 吳賢國(guó);王彥紅;繆翔;王純亮;楊瓊鵬;張立茂;;地鐵盾構(gòu)施工誘發(fā)地表沉降關(guān)鍵影響因素分析[J];土木建筑與環(huán)境工程;2015年02期

10 周奇才;范思遐;趙炯;熊肖磊;;基于改進(jìn)的支持向量機(jī)隧道變形預(yù)測(cè)模型[J];鐵道工程學(xué)報(bào);2015年03期

相關(guān)博士學(xué)位論文 前5條

1 王維博;粒子群優(yōu)化算法研究及其應(yīng)用[D];西南交通大學(xué);2012年

2 常甜甜;支持向量機(jī)學(xué)習(xí)算法若干問(wèn)題的研究[D];西安電子科技大學(xué);2010年

3 王國(guó)勝;支持向量機(jī)的理論與算法研究[D];北京郵電大學(xué);2008年

4 魏綱;頂管工程土與結(jié)構(gòu)的性狀及理論研究[D];浙江大學(xué);2005年

5 范昕煒;支持向量機(jī)算法的研究及其應(yīng)用[D];浙江大學(xué);2003年

，

本文編號(hào)：2467143