Development of a Parametric Modeling Method for Masonry Wall Systems to Support Robotic Construction
Publication: Computing in Civil Engineering 2023
ABSTRACT
The construction industry has undergone a technological shift. Technology advancements have made robots a topic of discussion in construction. One challenge to overcome is how the robot receives information from designed BIM models. This study describes the methods employed for parametric modeling and generating model content of wall systems in Autodesk Revit added with a Dynamo script. Coordinates are determined for components based on model geometry and dimensions. Once generated, components are placed with the required material based on wall parameters. This research develops a method to add components based on wall materials from a traditionally modeled BIM extracting information such as location, object identifier (ID), type, and orientation which is formatted to transfer to the robot based on the needs of the robotic system as a list of tasks in a comma-separated values (.CSV) file. This study details the development process and early implementation of the Dynamo script.
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REFERENCES
Banfi, F. (2016). Building Information Modelling – A Novel Parametric Modeling Approach Based on 3D Surveys of Historic Architecture. In M. Ioannides, E. Fink, A. Moropoulou, M. Hagedorn-Saupe, A. Fresa, G. Liestøl, V. Rajcic, & P. Grussenmeyer (Eds.), Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection (pp. 116–127). Springer International Publishing. https://doi.org/10.1007/978-3-319-48496-9_10.
Bedrick, J., Ikerd, W., and Reinhardt. (2020). Level of Development Specification – BIM Forum. https://bimforum.org/resource/level-of-development-specification/.
Follini, C., Terzer, M., Marcher, C., Giusti, A., and Matt, D. T. (2020). Combining the Robot Operating System with Building Information Modeling for Robotic Applications in Construction Logistics. In S. Zeghloul, M. A. Laribi, & J. S. Sandoval Arevalo (Eds.), Advances in Service and Industrial Robotics (pp. 245–253). Springer International Publishing. https://doi.org/10.1007/978-3-030-48989-2_27.
Kim, B., and Chin, S. (2016). Parametric Library Components for BIM-based Curtain Wall Design Automation Module. ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 33, 1–6. https://www.proquest.com/docview/1823081919/abstract/4918451B7C114B2CPQ/1.
McClymonds, A., Asadi, S., Wagner, A., and Leicht, R. M. (2022). Information Exchange for Supporting BIM to Robotic Construction. 839–848. https://doi.org/10.1061/9780784483961.088.
McClymonds, A., Leicht, R., and Asadi, S. (2023). System Architecture for Supporting BIM to Robotic Construction Integration. In S. Walbridge, M. Nik-Bakht, K. T. W. Ng, M. Shome, M. S. Alam, A. el Damatty, & G. Lovegrove (Eds.), Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 (pp. 225–236). Springer Nature. https://doi.org/10.1007/978-981-19-0968-9_18.
NCMA. (2023). Typical sizes and shapes of concrete masonry units. NCMA. https://ncma.org/resource/typical-sizes-and-shapes-of-concrete-masonry-units/.
Ren, R., and Zhang, J. (2021). A New Framework to Address BIM Interoperability in the AEC Domain from Technical and Process Dimensions. Advances in Civil Engineering, 2021, e8824613. https://doi.org/10.1155/2021/8824613.
Shaffer, D. (2019). Dimensioning and Estimating Brick Masonry.
Sharif, S., and Gentry, R. (n.d.). BIM for Masonry: Development of BIM Plugins for the Masonry Unit Database. 10.
Sharif, S., Gentry, R., Eastman, C., and Elder, J. (2015). Masonry Unit Database Development for BIM-Masonry.
Stephans, T., McClymonds, A., Leicht, R., and Wagner, A. R. (2022). Automated material selection based on detected construction progress: 39th International Symposium on Automation and Robotics in Construction, ISARC 2022. Proceedings of the 39th International Symposium on Automation and Robotics in Construction, ISARC 2022, 406–413.
Xu, C., Liu, J., Li, S., Wu, Z., and Chen, Y. F. (2021). Optimal brick layout of masonry walls based on intelligent evolutionary algorithm and building information modeling. Automation in Construction, 129, 103824. https://doi.org/10.1016/j.autcon.2021.103824.
Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 398 - 406
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Architectural engineering
- Automation and robotics
- Building information modeling
- Building management
- Construction (by type)
- Construction engineering
- Construction industry
- Construction management
- Construction methods
- Engineering fundamentals
- Masonry
- Mathematics
- Parameters (statistics)
- Statistics
- Structural engineering
- Structural members
- Structural systems
- Systems engineering
- Walls
Authors
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