Automation of concrete usage index (CUI) assessment using computational BIM

Authors

DOI:

https://doi.org/10.11113/ijbes.v6.n1.319

Keywords:

Computational BIM, Dynamo, Visual programing language, Green building certification, Sustainability analysis, Automated compliance-checking

Abstract

Concrete Usage Index (CUI) is one of the very used sustainability criteria related to building materials available in the Malaysian and Singaporean building standards. Often, CUI assessment is achieved either by manual calculation or semi-automated methods based on Material Take-off functionalities provided by the BIM tools. Both of these methods are relatively time-consuming, error-prone, and require much human intervention. The purpose of this paper is to develop a computational BIM-based tool for the automation of Concrete Usage Index (CUI) assessment and rating. This developed tool takes advantage of the data embedded in the BIM model and the automated CUI compliance-checking which is developed using a Visual Programing Language (Dynamo for Revit). For validation purpose, this tool has been tested on a BIM model of an existing building and the results were compared with Revit Material Take-off method. Thus, Auto-CUI tool automates the process of data collection, calculation and the generation of the CUI report. In addition to that, the generated results are as accurate as the material take-off method. Auto-CUI will support design decision-making during the design stage by providing an interactive feedback of CUI actual score and rating. Thus, the project team will be able to compare different design options according to concrete usage. Furthermore, it will allow designers to avoid CUI’s cumbersome calculations and inaccurate outputs. Even though, the usage of this tool does not require programming skills, developing this tool further as a plug-in for Revit would be helpful in reducing computation time as well as enhancing the generation of CUI report.

Author Biography

Taki Eddine Seghier, UTM

Departement of Architecture

References

Andrea Vannini (2015) andreaarch | Architecture&Computation. Available at: https://andreaarch.wordpress.com/ (Accessed: 17 February 2017).

Asl, M. R. et al. (2011) ‘Optimo : A BIM-based Multi-Objective Optimization Tool Utilizing Visual Programming for High Performance’, 130, pp. 1–10.

Autodesk (2015) Shared Parameters | Revit Products | Autodesk Knowledge Network. Available at: https://knowledge.autodesk.com/support/revit-products/learnexplore/caas/CloudHelp/cloudhelp/2015/ENU/Revit-Model/files/GUID-E7D12B71-C50D-46D8-886B-8E0C2B285988-htm.html (Accessed: 15 August 2017).

Autodesk (2016) Discover Dynamo. Available at: http://dynamobim.org/explore/ (Accessed: 28 January 2017).

Autodesk (2017) What’s New in Revit 2017 | New Features | Autodesk. Available at: http://www.autodesk.com/campaigns/whats-new-revit (Accessed: 9 February 2017).

Chandra, D. and Zhou, N. (2014) ‘BIM ADD-ON TOOL FOR AUTOMATED CUI CALCULATION DANIELS CHANDRA 1 and NING ZHOU 2 1,2’, pp. 305–314.

Dixon, T. et al. (2012) ‘A green profession ? A global survey of RICS members and their engagement with the sustainability agenda’. doi: 10.1108/14635780810908352.

Edwin Guerra (2014) Dynamo: Visual Programming for Revit/Vasari - YouTube. Available at: https://www.youtube.com/watch?v=xm26L0P2MPE (Accessed: 28 January 2017).

GBI (2010) ‘GBI RNC Residential Tool V1.2’, Green Building Index Reference Guide & Submission Format, (September), pp. 33–38. Available at: http://www.greenbuildingindex.org/Resources/GBI Tools/GBI RNC Residential Tool V2.0 Final.pdf.

GreenRE (2015) ‘Existing Non-Residential Building’, (October).

Ilhan, s sectorBahriye and Yaman, H. (2016) ‘Green building assessment tool (GBAT) for integrated BIM-based design decisions’, Automation in Construction. Elsevier B.V., 70, pp. 26–37. doi: 10.1016/j.autcon.2016.05.001.

Jalaei, F. and Jrade, A. (2015) ‘Integrating building information modeling (BIM) and LEED system at the conceptual design stage of sustainable buildings’, Sustainable Cities and Society. Elsevier B.V., 18, pp. 95–107. doi: 10.1016/j.scs.2015.06.007.

Kasim, T. (2015) ‘BIM-Based Smart Compliance Checking to Enhance Environmental Sustainability’, p. 240.

Kensek, K. (2015) ‘VISUAL PROGRAMMING FOR BUILDING INFORMATION MODELING: ENERGY AND SHADING ANALYSIS CASE STUDIES’, Journal of Green Building, 10(4), pp. 28–43. doi: 10.3992/jgb.10.4.28.

Kensek, K. and Kahn, W. (2013) ‘Integration of Environmental Sensors with BIM Seven Case Studies’, (June).

Kensek, K. M. and Noble, D. E. (2014) Building Information Modeling: BIM in Current and Future Practice, Journal of Chemical Information and Modeling. doi: 10.1017/CBO9781107415324.004.

Keung, J. (2012) SUSTAINABLE CONSTRUCTION: A Guide on CONCRETE USAGE INDEX. Building and Construction Authority.

Kim, H. et al. (2015) ‘Parametric BIM-based Energy Simulation for Buildings with Complex Kinetic Façades’, 1, pp. 657–664.

Kim, I., Kim, M. and Jun, H. (2013) ‘GBT for BIM-based Green Building Certification System’, International Conference on Sustainable Building Asia SB13 Seoul, pp. 193–197.

Konis, K., Gamas, A. and Kensek, K. (2016) ‘Passive performance and building form: An optimization framework for early-stage design support’, Solar Energy. Elsevier Ltd, 125, pp. 161–179. doi: 10.1016/j.solener.2015.12.020.

Krygiel, E. and Nies, B. (2008) Green BIM: successful sustainable design with building information modeling.

Lee, S. et al. (2015) ‘Green Template for Life Cycle Assessment of Buildings Based on Building Information Modeling: Focus on Embodied Environmental Impact’, Sustainability, 7(12), pp. 16498–16512. doi: 10.3390/su71215830.

Lim, Y. et al. (2016) ‘Building Information Modelling for Building Energy Efficiency Evaluation’, in Ace, pp. 42–48.

Makris, M. et al. (2013) ‘Informing Design through Parametric Integrated Structural Simulation’, In eCAADe 2013: Computation and Performance–Proceedings of the 31st International Conference on Education and research in Computer Aided Architectural Design in Europe, 1, pp. 69–77.

Seghier, T. E. et al. (2017) ‘Building Envelope Thermal Performance Assessment Using Visual Programming and BIM , based on ETTV requirement of Green Mark and GreenRE’, 4(3), pp. 227–235. doi: 10.11113/ijbes.v4.n3.216.

Stadel, A. et al. (2011) ‘Intelligent sustainable design: Integration of carbon accounting and building information modeling’, Journal of Professional Issues in Engineering Education and Practice, 137(2), pp. 51–54. doi: 10.1061/(ASCE)EI.1943-5541.0000053.

Stephanie Vierra (2014) Green Building Standards and Certification Systems | Whole Building Design Guide, Vierra Design & Education Services, LLC. Available at: https://www.wbdg.org/resources/gbs.php (Accessed: 9 September 2016).

Trusty, W. (2003) ‘Understanding the Green Building Toolkit: Picking the Right Tool for the Job’, USGBC Greenbuilding International Conference & Expo, pp. 1–8.

Vandezande, J. and Krygiel, E. (2015) Mastering Autodesk Revit Architecture 2016, Autodesk Official Press-Sybex. doi: 10.1017/CBO9781107415324.004.

Wong, J. K.-W. and Kuan, K.-L. (2014) ‘Implementing “BEAM Plus” for BIM-based sustainability analysis’, Automation in Construction. Elsevier B.V., 44, pp. 163–175. doi: 10.1016/j.autcon.2014.04.003.

Wu, W. (2010) Integrating building information modeling and green building certification: The BIM - LEED application model development, Vasa. Available at: http://medcontent.metapress.com/index/A65RM03P4874243N.pdf.

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Published

2019-01-06

How to Cite

Seghier, T. E., Ahmad, M. H., & Lim, Y.-W. (2019). Automation of concrete usage index (CUI) assessment using computational BIM. International Journal of Built Environment and Sustainability, 6(1), 23–30. https://doi.org/10.11113/ijbes.v6.n1.319