Module library development via graph mining

Conference Paper (2021)
Author(s)

Jianpeng Cao (ETH Zürich)

Daniel Hall (ETH Zürich)

Affiliation
External organisation
DOI related publication
https://doi.org/10.35490/ec3.2021.151 Final published version
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Publication Year
2021
Language
English
Affiliation
External organisation
Pages (from-to)
285-292
ISBN (print)
9783907234549
ISBN (electronic)
978-3-907234-54-9
Event
European Conference on Computing in Construction, EC3 2021 (2021-07-26 - 2021-07-28), Virtual, Online
Downloads counter
156

Abstract

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.