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Generative Design in Building Information Modelling (BIM): Approaches and Requirements
Wei Ma1, Xiangyu Wang2,3, Jun Wang4
1School of Design and the Built Environment, Curtin University, Bentley, WA 6102, Australia.
Sensors (Basel, Switzerland)
|August 28, 2021
Summary
Generative design (GD) integrated with building information modelling (BIM) enhances early design. This study reviews GD-BIM development, proposing new approaches to lower entry barriers for designers and researchers.
Area of Science:
- Digital Construction
- Computational Design
- Architecture, Engineering, and Construction (AEC) Industry
Background:
- Generative Design (GD) and Building Information Modelling (BIM) integration offers enhanced design capabilities.
- Current research on GD-BIM focuses on applications and tools, neglecting methodological and skill-based development.
- High development thresholds hinder widespread adoption of GD-BIM.
Purpose of the Study:
- To critically review existing approaches for developing GD within BIM.
- To analyze methodological relationships and skill requirements for GD-BIM development.
- To propose novel development perspectives and guides for GD-BIM.
Main Methods:
- Critical literature review of current GD-BIM development approaches.
- Analysis of methodological relationships and skill requirements.
- Identification of development objectives and GD properties.
Main Results:
- Identified gaps in understanding methodological relationships and skill needs for GD-BIM.
- Proposed objective-oriented, GD component-based, and skill-driven development perspectives.
- Developed reference guides to support GD-BIM implementation.
Conclusions:
- Novel development perspectives and guides can reduce the complexity of GD-BIM implementation.
- This research aims to guide AEC designers and inspire future GD-BIM research.
- Addressing skill requirements and methodological alignment is crucial for advancing GD-BIM.
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