【摘要】：圍巖分級是公路隧道建設的基礎,它的準確劃分對隧道結構的優(yōu)化設計和施工的安全保障具有重要意義。但在巖溶區(qū)公路隧道建設中,由于工程地質條件的復雜性和巖溶發(fā)育的影響,對圍巖級別進行準確判定是比較困難的,當前也缺少針對這一特殊圍巖的分級方法,這嚴重阻礙了巖溶公路隧道建設的發(fā)展。 本文在國內外常用圍巖分級指標體系的基礎上,結合巖溶圍巖的特殊性,提出了適用于巖溶區(qū)公路隧道建設的圍巖分級指標體系,該指標體系包含巖石堅硬強度、巖體完整程度、地下水狀態(tài)、結構面產(chǎn)狀和巖溶狀態(tài)5個指標,并提出了各指標的獲取方法。然后,利用建立的指標體系,以瑤寨隧道、天生橋隧道、關上二號隧道為依托工程,構建了神經(jīng)網(wǎng)絡專家知識庫,并通過遺傳神經(jīng)網(wǎng)絡數(shù)學理論,采用數(shù)值計算軟件MATLAB構造了巖溶圍巖分級專家系統(tǒng)模型。隨后,利用MATLAB與C++混合編程技術,以遺傳圍巖分級模型為核心,基于Visual C++6.0開發(fā)平臺,完成了巖溶區(qū)公路隧道圍巖分級專家系統(tǒng)的研制。 為驗證該專家系統(tǒng)的可靠性,將其應用于靖那高速公路,并與實際結果進行對比。實踐表明,本專家系統(tǒng)圍巖分級準確率達到了80.89%,基本可以滿足隧道工程建設的需要。
[Abstract]:The classification of surrounding rock is the foundation of highway tunnel construction, and its accurate division is of great significance to the optimal design of tunnel structure and the safety guarantee of construction. However, in the construction of highway tunnel in karst area, due to the complexity of engineering geological conditions and the influence of karst development, it is difficult to determine the grade of surrounding rock accurately. At present, there is a lack of classification method for this special surrounding rock. This seriously hinders the development of karst highway tunnel construction. Based on the commonly used classification index system of surrounding rock at home and abroad and the particularity of karst surrounding rock, this paper puts forward a classification index system of surrounding rock for highway tunnel construction in karst area, which includes the hard strength of rock. The degree of integrity of rock mass, the state of groundwater, the occurrence of structural plane and the karst state are five indexes, and the methods of obtaining each index are put forward. Then, the expert knowledge base of neural network is constructed based on the project of Yao Zhai tunnel, Tianshengqiao tunnel and Guansheng2 tunnel, and the mathematical theory of genetic neural network is adopted. An expert system model for classification of karst surrounding rock is constructed by numerical calculation software MATLAB. Then, using the mixed programming technology of MATLAB and C, taking the genetic surrounding rock classification model as the core, and based on the development platform of Visual C 6.0, the expert system of surrounding rock classification of highway tunnel in karst area is developed. In order to verify the reliability of the expert system, it is applied to Jingna Expressway and compared with the actual results. The practice shows that the classification accuracy of the expert system reaches 80.89, which can basically meet the needs of tunnel construction.
【學位授予單位】：廣西大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP182;U452.12

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