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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.6, Issue:09)
Article Information:

Risk Identification for the Construction Phases of the Large Bridge Based on WBS-RBS

Qing-Fu Li, Peng Zhang and Yan-Chao Fu
Corresponding Author:  Peng Zhang 
Submitted: October 17, 2012
Accepted: December 12, 2012
Published: July 15, 2013
Abstract:
For the construction environment of large bridges is complex and there are too much uncertain factors during the course of the construction, it is difficult for the general method of risk identification to identify the risks wholly and systematically. This study presents a new method of risk identification with modular analysis based on WBS-RBS (Work Breakdown Structure-Risk Breakdown Structure). For the purpose of the better application of this new method in the risk identification of large bridges, a BCICS (Bridge Construction Information Classification System) suitable for construction phase of large bridges was established based on the information classification system of ISO (International Standardization Organization). In order to provide a uniform communication language for the risk analysis personnel, the WBS of the construction of large bridges was established, which was beneficial to the judgment of the matrix elements of the RBM (Risk Breakdown Structure) applying the method of NGT (Nominal Group Technique). The coding system based on BCICS and RBS presented in this study is convenient for the modularized computer storage of the risk information of large bridges in construction phase and has great contribution to establishing the risk database of large bridges in construction phase

Key words:  Construction risk, large bridge, Risk Breakdown Structure (RBS), risk identification, Work Breakdown, ,
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Cite this Reference:
Qing-Fu Li, Peng Zhang and Yan-Chao Fu, . Risk Identification for the Construction Phases of the Large Bridge Based on WBS-RBS. Research Journal of Applied Sciences, Engineering and Technology, (09): 1523-1530.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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