TY - GEN
T1 - Module library development via graph mining
AU - Cao, Jianpeng
AU - Hall, Daniel
PY - 2021
Y1 - 2021
N2 - The use of prefabricated modules can benefit the construction industry with the economy of scales and production efficiency. However, the existing approach to develop module libraries is project-based, lacking the potential to reuse and manage in future projects. By taking the repeatability and manufacturability into account, this paper proposes a graph-based framework to identify possible modules automatically from multiple projects by frequent pattern mining. The results show that the repeated patterns share a degree of standardization and can be considered as module candidates. Finally, the framework is implemented as add-ons in the BIM environment to support module lifecycle management.
AB - The use of prefabricated modules can benefit the construction industry with the economy of scales and production efficiency. However, the existing approach to develop module libraries is project-based, lacking the potential to reuse and manage in future projects. By taking the repeatability and manufacturability into account, this paper proposes a graph-based framework to identify possible modules automatically from multiple projects by frequent pattern mining. The results show that the repeated patterns share a degree of standardization and can be considered as module candidates. Finally, the framework is implemented as add-ons in the BIM environment to support module lifecycle management.
UR - http://www.scopus.com/inward/record.url?scp=85163096718&partnerID=8YFLogxK
U2 - 10.35490/ec3.2021.151
DO - 10.35490/ec3.2021.151
M3 - Conference contribution
SN - 9783907234549
T3 - Proceedings of the European Conference on Computing in Construction
SP - 285
EP - 292
BT - Proceedings of the 2021 European Conference on Computing in Construction
PB - European Council on Computing in Construction (EC3)
CY - Rhodes, Greece
T2 - European Conference on Computing in Construction, EC3 2021
Y2 - 26 July 2021 through 28 July 2021
ER -