Home | About Journal  | Editorial Board  | Instruction | Subscription | Advertisement | Message Board  | Contact Us | ����
MODERN TUNNELLING TECHNOLOGY 2017, Vol. 54 Issue (1) :160-167    DOI:
Article Current Issue | Next Issue | Archive | Adv Search << [an error occurred while processing this directive] | [an error occurred while processing this directive] >>
A Study on Web-Based Tunnel Construction Risk Visualizations
(1 Hunan Yima Expressway Construction and Development Co. Ltd., Yiyang 413400; 2 Key Laboratory of Geotechnical and Underground Engineering, Tongji University, Ministry of Education, Shanghai 200092; 3 Department of Geotechnical Engineering College of Civil Engineering, Tongji University, Shanghai 200092)
Download: PDF (3336KB)   HTML (1KB)   Export: BibTeX or EndNote (RIS)      Supporting Info
Abstract Such accidents as collapses occur from time to time due to inexhaustive geological surveying and im? proper construction management during tunnel construction, which cause severe threats to the safety of construction workers. A tunnelling collapse prediction model is developed based on the Bayesian Network and database with cases and experts��experiences, allowing the displacement and displacement rate to be set by taking the quantitative tunnel risk probability as the criterion. A Web-based risk visualization system for tunnel construction is put forward, realizing real-time monitoring, deformation prediction and risk warning visualizations for tunnel construction safety.Its application in a practical case indicates the proposed method and system can effectively provide warnings for the project.
Service
Email this article
Add to my bookshelf
Add to citation manager
Email Alert
RSS
Articles by authors
FU Xue-Wen- 1 Xue-Ya-Dong- 2
3 Li-Yan-Jie- 2
3
Keywords�� Tunnelling   Risk visualization   Bayesian network   Monitoring   Internet     
Abstract�� Such accidents as collapses occur from time to time due to inexhaustive geological surveying and im? proper construction management during tunnel construction, which cause severe threats to the safety of construction workers. A tunnelling collapse prediction model is developed based on the Bayesian Network and database with cases and experts��experiences, allowing the displacement and displacement rate to be set by taking the quantitative tunnel risk probability as the criterion. A Web-based risk visualization system for tunnel construction is put forward, realizing real-time monitoring, deformation prediction and risk warning visualizations for tunnel construction safety.Its application in a practical case indicates the proposed method and system can effectively provide warnings for the project.
Keywords�� Tunnelling,   Risk visualization,   Bayesian network,   Monitoring,   Internet     
Cite this article:   
FU Xue-Wen- 1 Xue-Ya-Dong- 2, 3 Li-Yan-Jie- 2, 3 .A Study on Web-Based Tunnel Construction Risk Visualizations[J]  MODERN TUNNELLING TECHNOLOGY, 2017,V54(1): 160-167
URL:  
http://www.xdsdjs.com/EN/      ��     http://www.xdsdjs.com/EN/Y2017/V54/I1/160
��
No references of article
[1] CUI Guangyao1 SUN Lingyun2 ZUO Kuixian1 WANG Mingnian3 JING Hongfei4.Review of Researches on Mechanical Behaviors of Tunnel Fiber Reinforced Concrete Lining[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 1-7
[2] SUN Huixiang.On Failure Mechanism of Surrounding Rocks of the Deep-buried Underground Cavern Group under High Geostress and Its Countermeasures[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 8-17
[3] YUAN Xianfan1 LIAO Dan2.Research on Interpretation Method of TRT Test Results Based on GOCAD[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 18-24
[4] ZHANG Xiaolin1 CAI Jianhua2 LIAO Yankai2.Characteristics Analysis and Forecast Evaluation of Gas Occurrence of the Longquanshan Tunnel on Chengdu Metro[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 25-30
[5] PENG Bin1�� 2 ZHU Zhiheng2 YANG Junsheng2 FU Jinyang2 HE Hongbo1.On Digital Identification of Water Leakage at Tunnel Lining Based on the Panoramic Developed Image[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 31-37
[6] HUANG Yinding1��2.Study on the Planning Technology for Metro Built by Double Shield TBM in Old Urban Area[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 38-44
[7] ZHANG Jinwei1 LIU Zhiguang1 LU qingquan2 ZHANG zhiwei2.On Application and Promotion of BIM Technique in Urban Rail Transit Engineering[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 45-52
[8] XUE Gang ZHANG Xia.Economical and Ecological Evaluation Index System of the Urban Utility Tunnel Based on PSO-BP Neural Network[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 53-58
[9] WEN Xiaokai SUN Kun LIU Liang.Conception of IOT Technology Based Information System for Subway Patrol[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 59-64
[10] SUN Qiangqiang1 BO JingShan1, 2 LIU Hongshuai3 JING Liping2.Effects of a Tunnel on Ground Motion Amplification[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 65-71
[11] LI Jidong1,2 YOU Xinhua1.Seismic Response of the Metro Station with Pre-constructed Pipe-roof Integrating Support and Structure under Strong Earthquake Effect[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 72-78
[12] ZHUO Bin1 LI Sheng1 HE Chuan2 WANG Huan3 WANG Qicai1 MA Li4.Study on Mechanical Characteristics and Section Design of Trench Type Opencut Tunnel Lining Structure with Deep Covering Soil under Load Reduction[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 79-87
[13] CHEN Ming GUAN Huisheng XIE Youhui.Research on Pitch and Thrust Allocation of Shield Used in Inclined Shaft[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 88-94
[14] WANG Xueliang1 JI Xinbo2 XIA Mengran1 TAN Zhiming2 HOU Zhiqiang2 ZHANG Jihua2.Monitoring and Analysis of Pipe Jacking Force in the Shenyang Urban Stratum[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 95-101
[15] ZENG Lai1 LIU Yong2 YANG Hongyun2,3 GUO Ping4.Optimization of Loosing Circle Support of Stoping Roadway with Large Inclination[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(3): 102-108
Copyright 2010 by MODERN TUNNELLING TECHNOLOGY