TY - GEN
T1 - Clash relevance prediction in BIM-Based design coordination using Bayesian statistics
AU - Hu, Yuqing
AU - Castro-Lacouture, Daniel
N1 - Publisher Copyright:
© 2018 ASCE.
PY - 2018
Y1 - 2018
N2 - Multiple disciplines in construction projects have greatly improved the efficiency of their coordination efforts by using building information modeling (BIM) for clash detection. However, because the outcome of clash detection includes many irrelevant clashes that have no substantial influence on a project, the precision of the method has been questioned. To address this problem, this paper uses Bayesian statistics to distinguish relevant from irrelevant clashes for improving the clash detection of BIM. The paper compares naive Bayesian, the Bayesian network, and Bayesian probit regression, and validates the effectiveness of each method. Additionally, the paper discusses how prediction can be improved by combining the three methods by majority rule. Bayesian statistics provide a method of mining knowledge from historical data and leads to clash management processes that are more independent of the project experience of BIM coordinators.
AB - Multiple disciplines in construction projects have greatly improved the efficiency of their coordination efforts by using building information modeling (BIM) for clash detection. However, because the outcome of clash detection includes many irrelevant clashes that have no substantial influence on a project, the precision of the method has been questioned. To address this problem, this paper uses Bayesian statistics to distinguish relevant from irrelevant clashes for improving the clash detection of BIM. The paper compares naive Bayesian, the Bayesian network, and Bayesian probit regression, and validates the effectiveness of each method. Additionally, the paper discusses how prediction can be improved by combining the three methods by majority rule. Bayesian statistics provide a method of mining knowledge from historical data and leads to clash management processes that are more independent of the project experience of BIM coordinators.
UR - http://www.scopus.com/inward/record.url?scp=85048680801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048680801&partnerID=8YFLogxK
U2 - 10.1061/9780784481271.063
DO - 10.1061/9780784481271.063
M3 - Conference contribution
AN - SCOPUS:85048680801
T3 - Construction Research Congress 2018: Construction Project Management - Selected Papers from the Construction Research Congress 2018
SP - 649
EP - 658
BT - Construction Research Congress 2018
A2 - Harris, Rebecca
A2 - Wang, Chao
A2 - Harper, Christofer
A2 - Berryman, Charles
A2 - Lee, Yongcheol
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2018: Construction Project Managemen, CRC 2018
Y2 - 2 April 2018 through 4 April 2018
ER -