Risk assessment of water inrush from Ordovician limestone based on analytic hierarchical process modelling and water resistance

2021 ◽  
Vol 14 (24) ◽  
Author(s):  
Meixin Yan ◽  
Shuyun Zhu ◽  
Haodong Duan
Keyword(s):  
Risk Assessment ◽  
Water Resistance ◽  
Water Inrush ◽  
Process Modelling ◽  
Ordovician Limestone ◽  
Analytic Hierarchical Process

Risk Assessment of Water Inrush in Tunnel through Water-Rich Fault

2017 ◽  
Vol 36 (1) ◽  
pp. 317-326 ◽  
Author(s):  
Binbin Zhu ◽  
Li Wu ◽  
Yaxiong Peng ◽  
Weiwen Zhou ◽  
Chunhui Chen
Keyword(s):  
Risk Assessment ◽  
Water Inrush

Risk assessment of water inrush to coal seams from underlying aquifer by an innovative combination of the TFN-AHP and TOPSIS techniques

2020 ◽  
Vol 13 (14) ◽  
Author(s):  
Longqing Shi ◽  
Mei Qiu ◽  
Chao Teng ◽  
Ying Wang ◽  
Tianhao Liu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Water Inrush ◽  
Coal Seams

Xinhe Mine water inrush risk assessment based on quantification theoretical models

2010 ◽  
Vol 16 (4) ◽  
pp. 386-388 ◽  
Author(s):  
Hui Li ◽  
Guo-xun Jing ◽  
Zheng-long Cai ◽  
Jian-chun Ou
Keyword(s):  
Risk Assessment ◽  
Mine Water ◽  
Water Inrush ◽  
Theoretical Models

scholarly journals 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

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 644 ◽  
Author(s):  
Xin Wang ◽  
Kebin Shi ◽  
Quan Shi ◽  
Hanwei Dong ◽  
Ming Chen
Keyword(s):  
Risk Assessment ◽  
Cloud Model ◽  
Water Inrush ◽  
Ideal Point ◽  
Tunnel Boring Machine ◽  
Northwest China ◽  
Arid Area ◽  
Dynamic Monitoring ◽  
Tunnel Boring ◽  
The Impact

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.

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