本文選題：公路隧道 + 洞口段施工�。� 參考：《西安工業(yè)大學(xué)》2017年碩士論文

【摘要】：公路隧道洞口段是隧道施工的重要部位,洞口埋深較淺,一般圍巖風(fēng)化嚴(yán)重,加上降雨的影響,很容易發(fā)生邊仰坡失穩(wěn)、掌子面坍塌等事故,嚴(yán)重影響施工進(jìn)度和工程安全。因此,在公路隧道施工中一直將洞口段作為隧道施工的關(guān)鍵點(diǎn)。對(duì)洞口段施工階段進(jìn)行安全風(fēng)險(xiǎn)評(píng)估,能夠及時(shí)發(fā)現(xiàn)風(fēng)險(xiǎn),采取有效措施降低風(fēng)險(xiǎn)發(fā)生概率和減少風(fēng)險(xiǎn)造成的后果,保障施工安全。本文基于洞口段為淺埋、圍巖級(jí)別為V級(jí)的公路隧道,以模糊神經(jīng)網(wǎng)絡(luò)法為基本方法,建立了公路隧道洞口段施工階段風(fēng)險(xiǎn)概率估計(jì)模型,并應(yīng)用于寶漢高速某隧道洞口段施工階段風(fēng)險(xiǎn)評(píng)估,研究成果如下:1)針對(duì)傳統(tǒng)的風(fēng)險(xiǎn)評(píng)估方法人為主觀因素大,具有很大的不確定性和局限性提出了將模糊數(shù)學(xué)理論與神經(jīng)網(wǎng)絡(luò)理論相結(jié)合的模糊神經(jīng)網(wǎng)絡(luò)法。針對(duì)公路隧道洞口段施工階段存在的風(fēng)險(xiǎn)及風(fēng)險(xiǎn)因素,通過工程調(diào)研和研究國(guó)內(nèi)外最新成果基礎(chǔ)上,針對(duì)公路隧道洞口段施工階段風(fēng)險(xiǎn)及風(fēng)險(xiǎn)因素采用專家調(diào)查法進(jìn)行識(shí)別,并運(yùn)用層次分析構(gòu)建了公路隧道洞口段施工階段風(fēng)險(xiǎn)評(píng)估指標(biāo)體系。2)在應(yīng)用中,針對(duì)模糊神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)樣本,在公路隧道洞口段施工階段風(fēng)險(xiǎn)評(píng)估指標(biāo)體系基礎(chǔ)上,利用模糊層次綜合評(píng)判法結(jié)合相關(guān)資料建立了樣本數(shù)據(jù)。3)運(yùn)用MATLAB軟件構(gòu)建以模糊神經(jīng)網(wǎng)絡(luò)法為基本方法的公路隧道洞口段施工階段風(fēng)險(xiǎn)概率估計(jì)模型,確定風(fēng)險(xiǎn)發(fā)生的概率等級(jí);采用后果當(dāng)量法建立風(fēng)險(xiǎn)后果估計(jì)模型,確定風(fēng)險(xiǎn)發(fā)生的后果等級(jí),運(yùn)用R= P × C法進(jìn)行風(fēng)險(xiǎn)綜合等級(jí)評(píng)價(jià)。4)將風(fēng)險(xiǎn)概率估計(jì)模型、后果估計(jì)模型應(yīng)用到寶漢高速某隧道洞口段施工階段進(jìn)行風(fēng)險(xiǎn)估計(jì),并根據(jù)公路隧道洞口段施工階段風(fēng)險(xiǎn)等級(jí)標(biāo)準(zhǔn)進(jìn)行綜合評(píng)價(jià),提出有效的風(fēng)險(xiǎn)處理措施,保證隧道安全施工。5)應(yīng)用有限元軟件MIDAS/GTS對(duì)寶漢高速某隧道洞口段施工階段進(jìn)行數(shù)值模擬分析,結(jié)合本文對(duì)其進(jìn)行風(fēng)險(xiǎn)評(píng)估的結(jié)果和提出的風(fēng)險(xiǎn)處理措施,建立新的數(shù)值模型。將原模型、采取風(fēng)險(xiǎn)處理措施后優(yōu)化模型及現(xiàn)場(chǎng)實(shí)際監(jiān)控量測(cè)結(jié)果進(jìn)行對(duì)比分析,驗(yàn)證基于模糊神經(jīng)網(wǎng)路的公路隧道洞口段施工階段風(fēng)險(xiǎn)概率估計(jì)模型的準(zhǔn)確性和風(fēng)險(xiǎn)處理措施的可行性。
[Abstract]:The entrance section of highway tunnel is an important part of tunnel construction. Because of the shallow buried depth, serious weathering of surrounding rock and the influence of rainfall, accidents such as slope instability and palm collapse are easy to occur, which seriously affect the construction progress and engineering safety. Therefore, the entrance section is always regarded as the key point in the highway tunnel construction. The safety risk assessment in the construction stage of Dongkou section can find out the risk in time, take effective measures to reduce the probability of risk occurrence and reduce the consequences of risk, so as to ensure the safety of construction. In this paper, based on the highway tunnel with shallow burying and V grade surrounding rock, the risk probability estimation model of the tunnel entrance is established by using the fuzzy neural network method as the basic method. And applied to the risk assessment of a tunnel entrance section in Baohan Expressway. The research results are as follows: (1) aiming at the traditional risk assessment method, the subjective factors are large. A fuzzy neural network method which combines fuzzy mathematics theory with neural network theory is proposed with great uncertainty and limitation. In view of the risk and risk factors existing in the construction stage of highway tunnel entrance section, based on the engineering investigation and research on the latest achievements at home and abroad, the risk and risk factors in the construction stage of highway tunnel entrance section are identified by expert investigation method. The risk assessment index system of highway tunnel entrance section is constructed by using AHP. In the application, the risk assessment index system is based on the study sample of fuzzy neural network and the risk assessment index system in the construction stage of highway tunnel entrance section. This paper establishes the sample data. 3) using MATLAB software to construct the risk probability estimation model of highway tunnel entrance construction stage based on fuzzy neural network method. The risk probability estimation model is established by using the consequence equivalent method, the consequence grade of the risk occurrence is determined, and the risk comprehensive grade is evaluated by using the R= P 脳 C method. The result estimation model is applied to the risk estimation in the construction stage of a tunnel entrance section of Bao-Han Expressway, and the comprehensive evaluation is carried out according to the risk grade standard in the construction stage of the highway tunnel entrance section, and the effective risk treatment measures are put forward. The finite element software MIDAS/GTS is used to simulate and analyze the construction stage of a tunnel entrance of Bao-Han Expressway, and a new numerical model is established based on the results of risk assessment and the risk treatment measures proposed in this paper. Comparing and analyzing the original model, the optimized model after taking the risk treatment measures and the actual monitoring and measuring results on the spot. The accuracy of risk probability estimation model based on fuzzy neural network and the feasibility of risk treatment are verified.
【學(xué)位授予單位】：西安工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：U455.4

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