广大线长大隧道突涌水风险评估及应用研究
发布时间：2018-07-31 14:45
【摘要】：本文以广大铁路扩能改造工程项目为依托,在云南广大铁路沿线区域进行地质调查,结合多座隧道突涌水事故的研究,形成了隧道突涌水风险指标评价体系,用两种方法对广大线三座高风险隧道进行了突涌水风险评估,并提出了预防及处理措施。通过对广大线隧道多次不同规模的洞内突涌水调查,分析影响事故发生的主控因素,构成了基于工程地质条件与水文地质条件的隧道突涌水风险指标评价体系。根据长期的隧道超前地质预报实践和地质分析,利用原始数据对各个指标进行定量化并予以分级,不仅降低了数据采集成本还保证了数据的准确性,为隧道突涌水风险评估提供了数据支撑。采用主客观相结合的综合赋权法来确定各个指标的权重,结合模糊数学理论得出模糊数学评价模型,结合TOPSIS法组成综合赋权-TOPSIS隧道突涌水风险评估模型,将两种评估模型应用在广大线三座长大隧道的11个洞段的突涌水风险等价评估中,得出的评价结果与开挖实际进行对比验证,分析两种方法的优缺点,提高了对隧道突涌水风险预测的准确性。最后根据本文的评估方法确定出的隧道突涌水风险等级,通过广大线的三座高风险隧道中的实践,在隧道施工中针对不同的风险等级做好相应的预防措施和突泥涌水后的处理措施,验证了这些评估模型的实用性,能够有效的降低洞内突涌水灾害的影响程度,并且可在一定程度上规避隧道突涌水风险,为以后对长大隧道的突涌水风险评估提供了可靠的新途径。
[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.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U453.6
本文编号：2155919
[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.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U453.6
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