Abstract
The applications of Building Information Modeling (BIM)
in building design, construction production planning, and
4D simulation are growing rapidly. BIM-based modeling and
simulation has brought many benefits to safety and
logistic applications. However, tedious manual work is
still required to model and schedule protective equipment
in current BIM software. Limited automation in modeling
and planning safety processes has been exploited so far.
The objective of this paper is to investigate how safety
issues that are unknowingly built into the construction
schedule can be automatically identified early
in the planning phase of a project. The developed
automated safety rule-checking prototype for BIM was
tested on a residential building project in Finland. The
results of the case study demonstrate the feasibility of
integrating safety into BIM as an effective and practical
method for detecting and eliminating fall-related
hazards. Presented are also considerations which explore
what impact the developed approach has on safety issues
and traditional safety management practices.
Original language | English |
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Title of host publication | Proceedings of the 19th CIB World Building Congress |
Subtitle of host publication | Construction and Society |
Editors | Stephen Kajewski, Karen Manley, Keith Hampson |
Place of Publication | Brisbane |
Publisher | Queensland University of Technology |
Number of pages | 11 |
ISBN (Electronic) | 978-0-9875542-0-8 |
ISBN (Print) | 978-0-9875542-1-5 |
Publication status | Published - 2013 |
MoE publication type | Not Eligible |
Event | 19th CIB World Building Congress, WBC13: Construction and Society - Brisbane, Australia Duration: 5 May 2013 → 9 May 2013 Conference number: 19 |
Conference
Conference | 19th CIB World Building Congress, WBC13 |
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Abbreviated title | WBC13 |
Country/Territory | Australia |
City | Brisbane |
Period | 5/05/13 → 9/05/13 |
Keywords
- building information modeling
- construction safety
- design for safety
- rule checking
- safety-in-design
- safety planning and simulation