地鐵隧道施工安全風(fēng)險評估及其應(yīng)用研究
發(fā)布時間:2018-11-09 15:55
【摘要】:地鐵建設(shè)一般位于城市的中心,施工環(huán)境復(fù)雜多變、規(guī)模大、工期長、隱蔽性強(qiáng)、參與主體多,這勢必造成工程在施工期內(nèi)的風(fēng)險數(shù)量多、種類復(fù)雜,施工各個環(huán)節(jié)存在較大的不確定性和安全風(fēng)險。因此,開展地鐵隧道施工安全風(fēng)險評估研究工作具有重要的現(xiàn)實(shí)意義。本文綜合運(yùn)用文獻(xiàn)研究、現(xiàn)場調(diào)研、專家問卷調(diào)查、統(tǒng)計分析和模糊數(shù)學(xué)理論等手段,在獨(dú)立研究和歸納總結(jié)的基礎(chǔ)上,開展了地鐵隧道施工安全風(fēng)險評估研究工作。并以成都地鐵五號線一期工程為依托,進(jìn)行地鐵隧道施工安全風(fēng)險評估應(yīng)用。論文主要工作和成果如下:(1)建立地鐵施工事故數(shù)據(jù)庫。統(tǒng)計分析了國內(nèi)192起隧道施工典型事故,對事故進(jìn)行分類并分析典型事故的影響因素;結(jié)合已有研究成果、工程現(xiàn)場調(diào)查和資料查詢,建立明挖法、盾構(gòu)法、礦山法等3種施工方法的專項風(fēng)險評估指標(biāo)體系。(2)運(yùn)用BP人工神經(jīng)網(wǎng)絡(luò)算法,結(jié)合模糊數(shù)學(xué)理論,以風(fēng)險因素作為神經(jīng)網(wǎng)絡(luò)的輸入層內(nèi)容,風(fēng)險事件的概率和損失作為神經(jīng)網(wǎng)絡(luò)的輸出層內(nèi)容,分別建立明挖法、盾構(gòu)法、礦山法等3種施工方法的風(fēng)險評估數(shù)學(xué)模型。(3)參考地鐵隧道施工風(fēng)險評估相關(guān)規(guī)范,確定地鐵隧道施工風(fēng)險的評估標(biāo)準(zhǔn);為方便BP神經(jīng)網(wǎng)絡(luò)對風(fēng)險可能性等級和風(fēng)險損失等級的估算,基于模糊數(shù)學(xué)理論,結(jié)合地鐵施工相關(guān)規(guī)范、文獻(xiàn)資料、學(xué)者研究成果等,對明挖法、盾構(gòu)法、礦山法等3種施工方法的風(fēng)險因素進(jìn)行0~1數(shù)值量化,同時對風(fēng)險可能性等級和風(fēng)險損失等級進(jìn)行0~1數(shù)值量化;從風(fēng)險控制策略和風(fēng)險控制措施兩方面進(jìn)行風(fēng)險控制的研究。(4)基于SQL Server數(shù)據(jù)庫和C#語言,開發(fā)地鐵隧道施工安全風(fēng)險評估軟件。軟件可對事故信息進(jìn)行存儲和查詢,同時也可對明挖法、盾構(gòu)法、礦山法等3種施工方法的專項施工風(fēng)險進(jìn)行評估。(5)將地鐵隧道施工風(fēng)險評估研究成果應(yīng)用于成都地鐵5號線施工風(fēng)險評估。評估結(jié)果表明:成都地鐵5號線洞子口站基坑施工風(fēng)險等級為Ⅰ級;盾構(gòu)法下下穿西北橋及府河段施工風(fēng)險等級為Ⅰ級;礦山法下穿農(nóng)行西藏分行駐成都辦事處段施工風(fēng)險等級為Ⅱ級。本文評估結(jié)果與工程實(shí)際情況一致。
[Abstract]:The subway construction is usually located in the center of the city, the construction environment is complex and changeable, the construction environment is large, the construction period is long, the concealment is strong, the main body is more, this will inevitably result in the project in the construction period the risk quantity is many, the kind is complex, There is greater uncertainty and safety risk in every link of construction. Therefore, it is of great practical significance to study the safety risk assessment of subway tunnel construction. On the basis of independent research and summary, this paper has carried out the research on safety risk assessment of subway tunnel construction by means of literature research, field investigation, expert questionnaire investigation, statistical analysis and fuzzy mathematics theory. Based on the first phase project of Chengdu Metro Line 5, the application of safety risk assessment in subway tunnel construction is carried out. The main work and achievements are as follows: (1) the database of subway construction accident is established. This paper analyzes 192 typical accidents in tunnel construction in China, classifies the accidents and analyzes the influencing factors of the typical accidents. Combined with the existing research results, engineering field investigation and data inquiry, the index system of special risk assessment for three construction methods, namely, open excavation method, shield method and mine method, is established. (2) using BP artificial neural network algorithm and combining with fuzzy mathematics theory, Taking the risk factor as the input layer of the neural network, the probability and loss of the risk event as the output layer of the neural network, respectively, the open-cut method and shield method are established. The mathematical model of risk assessment of three construction methods such as mine method. (3) referring to the relevant norms of risk assessment in subway tunnel construction, the evaluation standard of construction risk of subway tunnel is determined. In order to facilitate the BP neural network to estimate the risk possibility grade and the risk loss grade, based on the fuzzy mathematics theory, combined with the subway construction related specification, the literature data, the scholar research result, so on the open excavation method, the shield tunneling method, The risk factors of three kinds of construction methods, such as mine method, are numerically quantified by 0 ~ (1) and 0 ~ (1) of risk possibility grade and risk loss grade. Research on risk control from two aspects of risk control strategy and risk control measures. (4) based on SQL Server database and C # language, develop the subway tunnel construction safety risk assessment software. The software can store and query the accident information, at the same time, it can also carry on the open excavation method, the shield machine method, The special construction risk of three construction methods, such as mine method, is evaluated. (5) the research results of risk assessment of subway tunnel construction are applied to the construction risk assessment of Chengdu Metro Line 5. The evaluation results show that the construction risk grade of foundation pit of Dongzikou Station on No. 5 Line of Chengdu Metro is grade 鈪,
本文編號:2320868
[Abstract]:The subway construction is usually located in the center of the city, the construction environment is complex and changeable, the construction environment is large, the construction period is long, the concealment is strong, the main body is more, this will inevitably result in the project in the construction period the risk quantity is many, the kind is complex, There is greater uncertainty and safety risk in every link of construction. Therefore, it is of great practical significance to study the safety risk assessment of subway tunnel construction. On the basis of independent research and summary, this paper has carried out the research on safety risk assessment of subway tunnel construction by means of literature research, field investigation, expert questionnaire investigation, statistical analysis and fuzzy mathematics theory. Based on the first phase project of Chengdu Metro Line 5, the application of safety risk assessment in subway tunnel construction is carried out. The main work and achievements are as follows: (1) the database of subway construction accident is established. This paper analyzes 192 typical accidents in tunnel construction in China, classifies the accidents and analyzes the influencing factors of the typical accidents. Combined with the existing research results, engineering field investigation and data inquiry, the index system of special risk assessment for three construction methods, namely, open excavation method, shield method and mine method, is established. (2) using BP artificial neural network algorithm and combining with fuzzy mathematics theory, Taking the risk factor as the input layer of the neural network, the probability and loss of the risk event as the output layer of the neural network, respectively, the open-cut method and shield method are established. The mathematical model of risk assessment of three construction methods such as mine method. (3) referring to the relevant norms of risk assessment in subway tunnel construction, the evaluation standard of construction risk of subway tunnel is determined. In order to facilitate the BP neural network to estimate the risk possibility grade and the risk loss grade, based on the fuzzy mathematics theory, combined with the subway construction related specification, the literature data, the scholar research result, so on the open excavation method, the shield tunneling method, The risk factors of three kinds of construction methods, such as mine method, are numerically quantified by 0 ~ (1) and 0 ~ (1) of risk possibility grade and risk loss grade. Research on risk control from two aspects of risk control strategy and risk control measures. (4) based on SQL Server database and C # language, develop the subway tunnel construction safety risk assessment software. The software can store and query the accident information, at the same time, it can also carry on the open excavation method, the shield machine method, The special construction risk of three construction methods, such as mine method, is evaluated. (5) the research results of risk assessment of subway tunnel construction are applied to the construction risk assessment of Chengdu Metro Line 5. The evaluation results show that the construction risk grade of foundation pit of Dongzikou Station on No. 5 Line of Chengdu Metro is grade 鈪,
本文編號:2320868
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