2009 International Workshop on Intelligent Systems and Applications 2009
DOI: 10.1109/iwisa.2009.5073097
|View full text |Cite
|
Sign up to set email alerts
|

Risk Analysis of Water Inrush into Karst Tunnel Using Fuzzy Comprehensive Evaluation Method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…In recent years, there have been more than 100 cases of mud-water burst observed in the southwest mountain, especially in Karst areas, such as Yunnan, Guizhou, and Sichuan, causing serious losses of human life and property and deterioration of construction conditions [19][20][21][22]. e fractured rock masses in Karst zones as a complex and widespread geological conditions in China, it is extremely easy to induce geologic hazard especially mud-water gushing when the underground engineering goes through it [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, there have been more than 100 cases of mud-water burst observed in the southwest mountain, especially in Karst areas, such as Yunnan, Guizhou, and Sichuan, causing serious losses of human life and property and deterioration of construction conditions [19][20][21][22]. e fractured rock masses in Karst zones as a complex and widespread geological conditions in China, it is extremely easy to induce geologic hazard especially mud-water gushing when the underground engineering goes through it [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Vicari et al [14] provided an excellent means for assessing the hazard posed by ongoing effusive eruptions. For tunneling, attribute synthetic evaluation [15] and fuzzy mathematics [16][17][18] were used to assess the risk of water inrush in karst tunnels. Abdolreza [18] proposed a new methodology based on fuzzy logic for tunneling risk assessment.…”
Section: Introductionmentioning
confidence: 99%