Multi-sources information fusion analysis of water inrush disaster in tunnels based on improved theory of evidence-Reference-Cited by-同舟云学术

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Multi-sources information fusion analysis of water inrush disaster in tunnels based on improved theory of evidence

Published:2021-07 Issue: Volume:113 Page:103948
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Li Shucai,Liu Cong,Zhou Zongqing,Li Liping,Shi Shaoshuai,Yuan Yongcai

Funder

Shandong University

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

China Scholarship Council

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference40 articles.

1. The application of Dempster-Shafer theory of evidence for assessing groundwater vulnerability at Galal Badra basin, Wasit governorate, east of Iraq;Al-Abadi;Appl. Water Sci.,2017

2. Multi-field information monitoring and warning of delayed water bursting in deep rock fault;Bai;Chinese J. Rock Mech. Eng.,2015

3. Situation awareness as a determinant for unsafe actions and subjective risk assessment on offshore attendant vessels;Bjørn;Saf. Sci.,2017

4. Physical model tests and numerical simulation for assessing the stability of brick-lined tunnels;Chen;Tunn. Undergr. Space Technol.,2016

5. Feasibility of tunnel boring through weakness zones in deep Norwegian subsea tunnels;Dammyr;Tunn. Undergr. Space Technol.,2017

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1. An Evaluation Method for Multisource Information Fusion in Tunneling Water Inrush Disasters;Journal of Construction Engineering and Management;2024-10

2. Risk assessment of karst water inrush in tunnel engineering based on improved game theory and uncertainty measure theory;Scientific Reports;2024-08-31

3. Automated detection and segmentation of tunnel defects and objects using YOLOv8-CM;Tunnelling and Underground Space Technology;2024-08

4. Research and application of a tunnel active–passive cooperative control mechanism;Tunnelling and Underground Space Technology;2024-07

5. Enhancing Decision Fusion for Wastewater Treatment System Selection Using Monte Carlo Simulation and Gray Analytic Hierarchy Process;Water;2024-06-16

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