Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/223511
Title: A FRAMEWORK TO PREVENT COLLAPSE DURING TUNNELING CONSTRUCTION
Authors: DING MI
Keywords: Building
PFM
Project and Facilities Management
Shen Lijun
2014/2015 PFM
Issue Date: 24-Jun-2015
Citation: DING MI (2015-06-24). A FRAMEWORK TO PREVENT COLLAPSE DURING TUNNELING CONSTRUCTION. ScholarBank@NUS Repository.
Abstract: Tunnels are increasingly being built worldwide to provide the infrastructure required for sustainable urban development. Although most tunnel construction projects have been completed safely and satisfactorily, there are intrinsic risks associated with the tunnel construction. As demonstrated by catastrophic collapses and other tunneling related disasters in the past few years, there is a potential for large scale accidents happening during tunnel construction. Based on the tunnel accident database in Sousa (2010) from Massachusetts Institute of Technology (MIT), most of the reported tunneling accidents in the world are collapses, not because they are the most frequent but because they are the ones with greater impacts than other types of accidents. It is particularly important to consider the risks of events with low frequency but serious consequences such as collapses. With the above background, this dissertation looks deep into the collapse during tunnel construction. Desktop study will be conducted for this research to investigate the main factors resulting in collapses during tunnel construction. It would be worthy to recognize that Information and Communication Technologies (ICTs) have been well advanced during the last few decades and can be applied to enhance the safety performance in tunnel construction. In this dissertation, a new framework will be developed to enable the project participants to take active approaches to prevent collapse during the tunnel construction based on extensive literature review. Within the framework, Building Information Modeling (BIM), Geographical Information System (GIS), a Wireless Sensor Network (WSN), Radio-Frequency Identification (RFID) and intelligent video surveillance systems are integrated to provide a platform supporting design optimization and real-time monitoring in order to give early risk warnings to prevent collapses.
URI: https://scholarbank.nus.edu.sg/handle/10635/223511
Appears in Collections:Bachelor's Theses

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