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<doi>/ISEC.res.2017.46</doi>
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<article-title>DESIGN FOR SAFETY KNOWLEDGE-BASED<br/>
BIM-INTEGRATED RISK REGISTER SYSTEM</article-title>
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<author>MD. ASLAM HOSSAIN<sup>1</sup>, ERNEST L. S. ABBOTT<sup>2</sup>, and DAVID K. H. CHUA<sup>2</sup></author>

<aff><sup>1</sup>
Dept of Civil Engineering, Nazarbayev University Astana, Kazakhstan<br/>
<sup>2</sup>
Dept of Civil &amp; Environmental Engineering, National University of Singapore, Singapore</aff>


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<title>ABSTRACT</title>
<p>Safety is a major challenge in the Construction industry. Researchers have shown that
many construction fatalities could have been avoided with proper design
considerations. Design for safety (DfS) knowledge helps designers to identify how
their design may pose a risk during the life cycle of a building facility. Hence,
designers can use DfS knowledge to address these safety issues in the design phase.
Nevertheless, identified risk and required mitigation of the risk must be noted in a risk
register. Moreover, all the risks cannot be addressed or eliminated during design.
Hence, residual risks must be addressed during actual construction, operation and
maintenance. This study proposes a DfS knowledge-based risk register system that
registers design deficient risk with mitigation action and the residual risks that must be
addressed during actual construction. The risk register is integrated with the BIM so
that the residual risks can be easily visualized in BIM compliant 3D model for further
action in later phases. A structure of risk identification procedure incorporating DfS
knowledge is described. Identified risks are stored in a database. Mitigation action
along with residual risks and responsible persons/parties for a design element are
linked with the BIM model. Such early identification of hazard would be very useful
to be prepared for any potential risk in advance which can save significant time and
cost for the constructor.</p>
<p><italic>Keywords: </italic>Construction safety, DfS rule, Knowledge library, Risk review, Building
information modeling, Risk visualization, Residual risk, Risk mitigation.</p>
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