TY - JOUR
T1 - Framework of BIM-Based Quantitative Evaluation for Enhancing Fire Safety Performance of Buildings
AU - Kim, Sohyun
AU - Ma, Jongil
AU - Lee, Jaewook
AU - Hong, Taehoon
AU - An, Jongbaek
AU - Jeong, Kwangbok
N1 - Publisher Copyright:
© 2023 American Society of Civil Engineers.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - The significance of fire inspection has been underscored to prevent building fires, which can lead to property damage and loss of life. While previous studies employed building information modeling (BIM) to evaluate fire safety performance, they primarily focused on a building's physical characteristics, overlooking environmental factors. To address this limitation, we propose a framework of BIM-based quantitative evaluation, which incorporates both physical and environmental characteristics of buildings to enhance their fire safety performance. We conducted a case study featuring three scenarios to validate the proposed framework. The results demonstrate that Scenario 3, with a score of 60.3 points, outperforms Scenarios 1 (30.9 points) and 2 (38.2 points) in terms of fire safety performance. This is attributed to Scenario 3's consideration of components, firefighting equipment, and environmental elements in preventing and responding to building fires. The proposed framework contributes to the field by automatically evaluating buildings' fire safety performance using a comprehensive approach based on BIM.
AB - The significance of fire inspection has been underscored to prevent building fires, which can lead to property damage and loss of life. While previous studies employed building information modeling (BIM) to evaluate fire safety performance, they primarily focused on a building's physical characteristics, overlooking environmental factors. To address this limitation, we propose a framework of BIM-based quantitative evaluation, which incorporates both physical and environmental characteristics of buildings to enhance their fire safety performance. We conducted a case study featuring three scenarios to validate the proposed framework. The results demonstrate that Scenario 3, with a score of 60.3 points, outperforms Scenarios 1 (30.9 points) and 2 (38.2 points) in terms of fire safety performance. This is attributed to Scenario 3's consideration of components, firefighting equipment, and environmental elements in preventing and responding to building fires. The proposed framework contributes to the field by automatically evaluating buildings' fire safety performance using a comprehensive approach based on BIM.
KW - Automation
KW - Building information modeling (BIM)
KW - Environmental and physical data
KW - Fire safety performance
KW - Quantitative evaluation
UR - http://www.scopus.com/inward/record.url?scp=85176143842&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85176143842&partnerID=8YFLogxK
U2 - 10.1061/JMENEA.MEENG-5709
DO - 10.1061/JMENEA.MEENG-5709
M3 - Article
AN - SCOPUS:85176143842
SN - 0742-597X
VL - 40
JO - Journal of Management in Engineering
JF - Journal of Management in Engineering
IS - 1
M1 - 04023061
ER -