本文選題：隧道監(jiān)測 + 圍巖位移�。� 參考：《西安工業(yè)大學》2014年碩士論文

【摘要】：長期以來,對隧道工程進行準確的設(shè)計,施工一直是隧道建設(shè)的一個最為重要的步驟,圍巖的性質(zhì)狀態(tài)對于施工和設(shè)計起著決定性的作用,幾十年來,巖土工程師們一直在研究如何能夠準確合理地獲得表征隧道圍巖力學性狀的參數(shù)。尤其是近十年來,新奧法的施工工藝得到極大的推廣,監(jiān)測信息的反饋技術(shù)也得到相應發(fā)展,這樣的工藝使得通過反分析方法來確定圍巖力學參數(shù)的研究更加有意義。 本文以十天高速公路茶鎮(zhèn)隧道施工監(jiān)測為研究對象,以現(xiàn)場變形量測數(shù)據(jù)為基礎(chǔ),通過一系列數(shù)學方法進行回歸模擬,用BP神經(jīng)網(wǎng)絡(luò)構(gòu)建了力學參數(shù)反分析的模型。以茶鎮(zhèn)隧道現(xiàn)場實際量測拱頂沉降及周邊收斂的數(shù)據(jù)為研究對象,以專業(yè)數(shù)學軟件MATLAB7.0內(nèi)置神經(jīng)網(wǎng)絡(luò)工具箱作為手段,利用構(gòu)建起來的模型和正算模擬軟件兩者互相結(jié)合,繼而選用正交設(shè)計的方法選取模型所需要的學習訓練樣本。在對這些樣本進行了充分的學習和訓練之后,從而可以建立隧道圍巖參數(shù)與隧道位移(水平收斂位移和拱頂沉降位移)之間的對應的非線性映射關(guān)系。繼而將所建立的這種呈非線性狀態(tài)的映射關(guān)系應用到對茶鎮(zhèn)隧道的三個參數(shù)彈性模量E和粘聚力c以及內(nèi)摩擦角φ進行反演分析,最終得出合理取值。 本文研究的基于BP神經(jīng)網(wǎng)絡(luò)的位移反分析方法對隧道工程設(shè)計、施工、監(jiān)測提供一定的決策依據(jù),對隧道后續(xù)開挖的設(shè)計、施工、監(jiān)測提供建議值,實現(xiàn)信息的反饋,對相似隧道工程提供指導和借鑒意義。
[Abstract]:For a long time, the accurate design and construction of tunnel engineering has been the most important step in tunnel construction. The nature of surrounding rock plays a decisive role in construction and design. Geotechnical engineers have been studying how to accurately and reasonably obtain the mechanical properties of tunnel surrounding rock. Especially in the past ten years, the construction technology of the New Austrian method has been greatly popularized, and the feedback technology of monitoring information has been developed accordingly, which makes the study of determining the mechanical parameters of surrounding rock by the method of back analysis more meaningful. In this paper, the construction monitoring of Cha Zhen Tunnel of Shitian Expressway is taken as the research object, based on the field deformation measurement data, regression simulation is carried out by a series of mathematical methods, and the back analysis model of mechanical parameters is constructed by using BP neural network. Taking the data of actual measurement of dome settlement and its peripheral convergence in the field of Cha Zhen Tunnel as the research object, taking MATLAB 7.0 as a means of built-in neural network toolbox, this paper combines the constructed model with the positive simulation software. Then the orthogonal design method is used to select the learning training samples needed by the model. The nonlinear mapping relationship between tunnel surrounding rock parameters and tunnel displacement (horizontal convergent displacement and arch settlement displacement) can be established after the study and training of these samples. Then, the nonlinear mapping relationship is applied to the inversion analysis of the three parameters of elastic modulus E, cohesion C and internal friction angle 蠁 of Cha Zhen Tunnel, and a reasonable value is obtained. The back analysis method of displacement based on BP neural network in this paper provides a certain decision basis for tunnel engineering design, construction and monitoring, and provides the suggested value for the design, construction and monitoring of tunnel subsequent excavation, so as to realize the feedback of information. To provide guidance and reference for similar tunnel engineering.
【學位授予單位】：西安工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP183;U451.2

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