【摘要】：本文以廣大鐵路擴(kuò)能改造工程項(xiàng)目為依托,在云南廣大鐵路沿線區(qū)域進(jìn)行地質(zhì)調(diào)查,結(jié)合多座隧道突涌水事故的研究,形成了隧道突涌水風(fēng)險(xiǎn)指標(biāo)評(píng)價(jià)體系,用兩種方法對(duì)廣大線三座高風(fēng)險(xiǎn)隧道進(jìn)行了突涌水風(fēng)險(xiǎn)評(píng)估,并提出了預(yù)防及處理措施。通過(guò)對(duì)廣大線隧道多次不同規(guī)模的洞內(nèi)突涌水調(diào)查,分析影響事故發(fā)生的主控因素,構(gòu)成了基于工程地質(zhì)條件與水文地質(zhì)條件的隧道突涌水風(fēng)險(xiǎn)指標(biāo)評(píng)價(jià)體系。根據(jù)長(zhǎng)期的隧道超前地質(zhì)預(yù)報(bào)實(shí)踐和地質(zhì)分析,利用原始數(shù)據(jù)對(duì)各個(gè)指標(biāo)進(jìn)行定量化并予以分級(jí),不僅降低了數(shù)據(jù)采集成本還保證了數(shù)據(jù)的準(zhǔn)確性,為隧道突涌水風(fēng)險(xiǎn)評(píng)估提供了數(shù)據(jù)支撐。采用主客觀相結(jié)合的綜合賦權(quán)法來(lái)確定各個(gè)指標(biāo)的權(quán)重,結(jié)合模糊數(shù)學(xué)理論得出模糊數(shù)學(xué)評(píng)價(jià)模型,結(jié)合TOPSIS法組成綜合賦權(quán)-TOPSIS隧道突涌水風(fēng)險(xiǎn)評(píng)估模型,將兩種評(píng)估模型應(yīng)用在廣大線三座長(zhǎng)大隧道的11個(gè)洞段的突涌水風(fēng)險(xiǎn)等價(jià)評(píng)估中,得出的評(píng)價(jià)結(jié)果與開(kāi)挖實(shí)際進(jìn)行對(duì)比驗(yàn)證,分析兩種方法的優(yōu)缺點(diǎn),提高了對(duì)隧道突涌水風(fēng)險(xiǎn)預(yù)測(cè)的準(zhǔn)確性。最后根據(jù)本文的評(píng)估方法確定出的隧道突涌水風(fēng)險(xiǎn)等級(jí),通過(guò)廣大線的三座高風(fēng)險(xiǎn)隧道中的實(shí)踐,在隧道施工中針對(duì)不同的風(fēng)險(xiǎn)等級(jí)做好相應(yīng)的預(yù)防措施和突泥涌水后的處理措施,驗(yàn)證了這些評(píng)估模型的實(shí)用性,能夠有效的降低洞內(nèi)突涌水災(zāi)害的影響程度,并且可在一定程度上規(guī)避隧道突涌水風(fēng)險(xiǎn),為以后對(duì)長(zhǎng)大隧道的突涌水風(fēng)險(xiǎn)評(píng)估提供了可靠的新途徑。
[Abstract]:In this paper, based on the project of railway capacity expansion and reconstruction, geological investigation is carried out in the vast railway area of Yunnan Province, and the risk index evaluation system of tunnel burst water is formed by combining the study of water inrush accidents in several tunnels. In this paper, the risk assessment of water inrush in three high risk tunnels along the broad line is carried out by two methods, and the prevention and treatment measures are put forward. Through the investigation of water inrush in tunnels with different sizes for many times, the main controlling factors affecting the occurrence of accidents are analyzed, and the evaluation system of the risk index of water inrush in tunnels based on engineering geological conditions and hydrogeological conditions is established. According to the long-term geological forecast practice and geological analysis of tunnel advance, each index is quantified and classified by using original data, which not only reduces the cost of data collection but also ensures the accuracy of data. It provides the data support for the risk assessment of tunnel flooding. The weight of each index is determined by combining subjective and objective comprehensive weighting method, fuzzy mathematics evaluation model is obtained by combining fuzzy mathematics theory, and the comprehensive weighting TOPSIS tunnel inrush risk assessment model is constructed by combining TOPSIS method. The two evaluation models are applied to the equivalent assessment of the risk of water inrush in 11 sections of three large tunnels on the broad line. The results obtained are compared with the excavation practice, and the advantages and disadvantages of the two methods are analyzed. The accuracy of predicting the risk of tunnel flooding is improved. Finally, according to the evaluation method of this paper, the risk grade of tunnel sudden water inflow is determined, through the practice of three high risk tunnels along the broad line. In the tunnel construction, the corresponding preventive measures and the treatment measures after water inrush are done well according to different risk levels. The practicability of these evaluation models is verified, and the influence degree of water inrush disaster in the tunnel can be effectively reduced. To some extent, it can avoid the risk of sudden water inflow, which provides a new reliable way to evaluate the risk of water inrush in long tunnels in the future.
【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】：2017
【分類號(hào)】：U453.6

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