Module library development via graph mining

Conference Paper (2021)
Author(s)

Jianpeng Cao (ETH Zürich)

Daniel M. Hall (ETH Zürich)

Affiliation
External organisation
DOI related publication
https://doi.org/10.35490/ec3.2021.151
More Info
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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

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.

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