岩石隧道地下水流入评价方法研究进展

Wadslin Frenelus, Hui Peng, Jingyu Zhang
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引用次数: 1

摘要

隧道地下水流入一直是水文学、水利工程、水文地质、岩石工程及相关科学中的一个突出课题。事实上,特别是在地下水位以下建造的隧道,在开挖过程中,甚至有时在投入使用后,经常面临地下水流入。这些流入量通常被视为不可预测的地质灾害,造成隧道围岩的不稳定,造成人员伤亡和巨大的经济损失。地下水条件对隧道的设计和施工具有决定性意义。因此,准确预测或评价隧道的地下水流入是至关重要的。这样的预测,虽然仍然具有挑战性,但已经有许多研究人员用不同的方法提出了。然而,对这些方法的最新审查尚未提出。本文综述了岩石介质中隧洞的地下水流入评价方法。结果主要包括分析、半分析、经验、半经验、数值、机器学习等领域使用的方法。这是通过选择和分析发表在各种国际期刊上的相关科学文章而实现的。并对今后的发展趋势提出了建议。本文可为从不同角度认识地下水流入预测及其适用性和准确性方面的局限性提供有益的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation methods for groundwater inflows into rock tunnels: a state-of-the-art review
Groundwater inflow into tunnels is always a salient topic in Hydrology, Hydraulic Engineering, Hydrogeology, Rock Engineering and allied sciences. In fact, tunnels particularly built below the groundwater table, often face groundwater inflows during their excavation, and even sometimes after they are put into operation. These inflows, habitually regarded as unpredictable geological hazards, cause instabilities in the surrounding rocks of tunnels, and lead to considerable damages such as injuries, loss of lives, and huge-scaled economic expenses. It is argued that groundwater conditions are of decisive significance for the design and running of tunnels. Therefore, accurate prediction or evaluation of groundwater inflows into tunnels is of paramount importance. Such prediction, although it is still challenging, has been broached by many researchers with diverse methods. However, a state-of-the-art review of these methods has not yet been presented. This paper reviews the assessment methods of groundwater inflows into tunnels built in rocky media. The results mainly include analytical, semi-analytical, empirical, semi-empirical, numerical, machine learning, and other methods used in the field. This was made possible by selecting and analysing relevant scientific articles published by various worldwide Journals. In addition, some recommendations and future trends are pointed out. This paper can provide useful references in understanding groundwater inflows prediction in different points of view and their limits in terms of applicability and accuracy.
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