Framework for automated manufacturing-centric BIM for light wood frame buildings

• Author / Creator

  Abushwereb, Mahmud

• Building information modelling (BIM) technology has the potential to improve the collaboration between multiple stakeholders and to streamline construction projects. In order to increase the adoption of BIM within Canadian building industry, and in particular, the modular or prefabricated construction industry, the BIM models must be designed with sufficient fabrication details to facilitate the production phase. However, in current practice, fabrication details require substantial manual modelling efforts limiting the utilization of BIM models in the industry. In this context, the focus of this research is to create a framework that can be implemented in drafting software to automate construction details for modular construction. Therefore, the research objectives are formalized to include the drafting automation of wood framing building components through: a rule-based modelling approach that is capable of analyzing and designing building frames automatically as per the National Building Code (NBC) of Canada; analyzing the transportation regulations for modular components that can affect the design of the building module; creating of a cases collection for industry best practices using a knowledge-based approach. To validate and demonstrate the effectiveness of the proposed framework, various industry real-time case studies were investigated using an in-house developed wood framing tool which works as an add-on within Autodesk REVIT software. The results support the applicability of the proposed framework to optimize the manufacturing of prefabricated buildings and minimize drafting time and material required.

• Subjects / Keywords

  • Knowledge-based approach
  • Building Information Modelling (BIM); Automation; Modular construction; Light Wood-Framing Buildings; Design and modeling

• Graduation date

  Fall 2019

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/r3-eypb-tf96

• License

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