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首页> 外文期刊>International journal of applied mechanics >A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China
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A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

机译：基于普通的云模型的风险评估方法及其在中国西北干旱地区隧道镗床构建的超长隧道中的应用<粗体>

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摘要

Tunnel water inrush is complex, fuzzy, and random, and it is affected by many factors, such as hydrology, geology, and construction. However, few papers have considered the impact of dynamic monitoring on water inrush in previous research. In this study, considering geological, hydrological, and construction factors, as well as dynamic monitoring, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model. A new weight algorithm combining analytic hierarchy process and entropy method is used to calculate the index weight. The certainty degree of each evaluation index belonging to the corresponding cloud can be obtained by the cloud model theory. The final level of tunnel water inrush is determined via the synthetic certainty degree. The proposed method is applied to analyze the risk of water inrush in the SS (Shuang-san) tunnel constructed by a tunnel boring machine in the arid area of Northwest China. The evaluation results are not only basically identical to the results calculated by the ideal point and gray relation projection methods, but also agree well with the actual excavation results. This demonstrates that this new risk assessment method of water inrush has high accuracy and feasibility. Simultaneously, it also provides a new research idea to analyze the probability of tunnel water inrush and can provide a reference for related projects.
机译：隧道水浪涌是复杂的，模糊和随机的，它受到许多因素的影响，如水文，地质和建筑。然而，很少有论文考虑了动态监测对以前研究中的水涌的影响。在本研究中，考虑到地质，水文和施工因素，以及动态监测，提出了一种新的多指标评估方法，分析了基于普通云模型的隧道水浪涌风险。结合分析层次处理和熵方法的新重量算法用于计算索引权重。属于相应云的每个评估指数的确定性可以通过云模型理论获得。通过合成确定程度确定隧道涌入的最终水平。该提出的方法适用于分析由西北地区干旱地区隧道镗床构建的SS（双三队）隧道中涌出的风险。评估结果不仅与理想点和灰色关系投影方法计算的结果基本相同，而且还与实际的挖掘结果一致。这表明，这种新的浪涌风险评估方法具有高精度和可行性。同时，它还提供了一种新的研究理念，用于分析隧道涌入的概率，可以为相关项目提供参考。

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