【摘要】：隨著我國(guó)交通建設(shè)不斷發(fā)展,公路隧道的數(shù)量與日俱增,而隧道的穩(wěn)定性成為備受關(guān)注的問(wèn)題。鑒于隧道巖體的高度復(fù)雜性,很難一蹴而就地獲得準(zhǔn)確的圍巖參數(shù)進(jìn)行評(píng)價(jià)隧道的穩(wěn)定性,因此就必須充分利用施工中獲取的監(jiān)控量測(cè)數(shù)據(jù)反演計(jì)算所需要的圍巖參數(shù)。在這個(gè)思路指導(dǎo)下,論文以在建的汶馬高速公路鷓鴣山隧道工程為工程依托,根據(jù)施工期間的現(xiàn)場(chǎng)監(jiān)控量測(cè)數(shù)據(jù),借助巖土工程有限差分軟件FLAC 3D建立正演模型和計(jì)算,建立和優(yōu)化反演模型,運(yùn)用大型計(jì)算軟件MATLAB反演計(jì)算隧道圍巖參數(shù),利用反演計(jì)算獲得的圍巖參數(shù)分析隧道的穩(wěn)定性。研究的主要內(nèi)容包括以下幾個(gè)方面：(1)監(jiān)測(cè)數(shù)據(jù)的回歸分析和隧道的施工管理根據(jù)工程的實(shí)際情況以及新奧法施工的理念,制定隧道的監(jiān)控量測(cè)方案,實(shí)施施工期間的監(jiān)控量測(cè),對(duì)現(xiàn)場(chǎng)監(jiān)控量測(cè)數(shù)據(jù)進(jìn)行整理、處理和回歸分析,分析圍巖的變形規(guī)律,并建立了鷓鴣山隧道的信息反饋與施工管理機(jī)制。(2)正演模型的建立和計(jì)算根據(jù)鷓鴣山隧道的地質(zhì)資料、地質(zhì)勘查、地質(zhì)預(yù)報(bào)等相關(guān)資料,確定隧道圍巖的物理力學(xué)參數(shù)取值范圍,采用正交試驗(yàn)和均勻試驗(yàn)原理設(shè)計(jì)圍巖的物理力學(xué)參數(shù)組合,利用功能強(qiáng)大的巖土工程軟件FLAC 3D建立三維隧道正演分析模型,計(jì)算相應(yīng)位置的拱頂沉降和水平收斂,作為BP神經(jīng)網(wǎng)絡(luò)的訓(xùn)練樣本和測(cè)試樣本。在此基礎(chǔ)上,采用正交試驗(yàn)的矩陣分析法分析了各個(gè)圍巖參數(shù)影響隧道變形的主次順序。(3)反演模型的建立和參數(shù)計(jì)算建立并優(yōu)化BP神經(jīng)網(wǎng)絡(luò)的結(jié)構(gòu),采用“后驗(yàn)差法”判定其預(yù)測(cè)能力,建立適合該隧道圍巖物理力學(xué)參數(shù)的反演計(jì)算模型,結(jié)合施工期間現(xiàn)場(chǎng)實(shí)際監(jiān)控量測(cè)的結(jié)果,運(yùn)用MATLAB進(jìn)行反演計(jì)算隧道圍巖的物理力學(xué)參數(shù)。根據(jù)反演計(jì)算獲得的圍巖物理力學(xué)參數(shù),計(jì)算對(duì)應(yīng)斷面的拱頂沉降值和水平收斂值,及其與實(shí)測(cè)值之間的誤差,進(jìn)一步驗(yàn)證了圍巖參數(shù)反演的科學(xué)性和可行性。(4)反演結(jié)果在隧道施工中的應(yīng)用基于反演計(jì)算獲得的圍巖物理力學(xué)參數(shù),建立隧道施工的三維計(jì)算模型,采用強(qiáng)度折減法進(jìn)一步分析了隧道圍巖的穩(wěn)定性、埋深對(duì)隧道圍巖穩(wěn)定性的影響和襯砌結(jié)構(gòu)的安全性,同時(shí)分析和研究了提高隧道穩(wěn)定性的措施。
[Abstract]:With the continuous development of traffic construction in China, the number of highway tunnels is increasing day by day, and the stability of tunnels has become a matter of great concern. In view of the high complexity of the tunnel rock mass, it is difficult to obtain accurate surrounding rock parameters to evaluate the stability of the tunnel overnight. Therefore, it is necessary to make full use of the monitoring and measurement data obtained in construction to inverse the surrounding rock parameters required for the calculation. Under the guidance of this idea, based on the construction of the Partridge Mountain Tunnel of Wenma Expressway, the forward modeling and calculation are established by the help of the geotechnical engineering finite difference software FLAC 3D, according to the field monitoring and measuring data during the construction. The inversion model is established and optimized, and the parameters of surrounding rock of tunnel are inversed by MATLAB software, and the stability of tunnel is analyzed by the parameters of surrounding rock obtained by inversion calculation. The main contents of the study include the following aspects: (1) regression analysis of monitoring data and tunnel construction management, according to the actual situation of the project and the concept of the construction of the New Austrian method, the monitoring and measurement scheme of the tunnel is formulated. During the construction, the monitoring and measuring data are arranged, processed and regressed, and the deformation law of surrounding rock is analyzed. The information feedback and construction management mechanism of Partridge Mountain Tunnel are established. (2) the forward modeling is established and calculated according to the geological data, geological exploration, geological forecast and other related data. The range of the physical and mechanical parameters of the surrounding rock is determined, the combination of the physical and mechanical parameters of the surrounding rock is designed by orthogonal test and uniform test principle, and the 3D forward analysis model of tunnel is established by using the powerful geotechnical engineering software FLAC 3D. The dome settlement and horizontal convergence of the corresponding position are calculated as the training and test samples of BP neural network. On this basis, the primary and secondary order of the influence of surrounding rock parameters on tunnel deformation is analyzed by using the matrix analysis method of orthogonal test. (3) the establishment of inversion model and parameter calculation are used to optimize the structure of BP neural network. The prediction ability of the tunnel is determined by "posteriori difference method", and the inversion calculation model suitable for the physical and mechanical parameters of surrounding rock of the tunnel is established, and the results of actual monitoring and measurement during construction are combined. The physical and mechanical parameters of surrounding rock of tunnel are inversed by MATLAB. According to the physical and mechanical parameters of surrounding rock obtained by inverse calculation, the settlement value and horizontal convergence value of the arch roof of the corresponding section are calculated, and the errors between them and the measured values are calculated. Further verify the scientific and feasibility of parameter inversion of surrounding rock. (4) the application of inversion results in tunnel construction based on the physical and mechanical parameters of surrounding rock obtained by inversion calculation, a three-dimensional calculation model of tunnel construction is established. The stability of tunnel surrounding rock, the influence of buried depth on the stability of tunnel surrounding rock and the safety of lining structure are further analyzed by the strength reduction method. The measures to improve the stability of tunnel are also analyzed and studied.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U451

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