Authors:

Sebastian Valencia Zapata

Date Created:

Not specified

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About Paper:

Prefabricated construction has emerged as a promising strategy to improve sustainability, cost-efficiency, and on-site safety by leveraging off-site industrialized manufacturing. Among the design approaches, top- down modularization decisions have guided the transformation of traditional building designs into prefabricated systems while preserving architectural intent. This research investigates a graph-based top-down methodology to modularize existing BIM designs and assess their prefabrication potential. The proposed approach expands the modularization process by incorporating a heterogeneous set of building elements, including walls, doors, and windows, and encoding spatial and semantic relationships such as adjacency, hosting, and room function within a unified graph representation. By capturing these rich interactions, the framework seeks to enable a more realistic and flexible analysis of modular potential. Current efforts focus on constructing this graph-based data model and identifying similarity patterns among substructures, with the long-term goal of informing modular design decisions. This work will contribute to a richer and data-driven foundation for modular design strategies in prefabricated construction. Keywords: Modularization; Graph Modeling; Prefabricated Construction; Design Automation

Source:

Purdue University / 2025

Topics:

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Co-authors:

Sebastian Valencia Zapata