Use of the BIM system to quantify civil construction waste: use of Revit and Dynamo combined with Python programming language
DOI:
https://doi.org/10.46421/entac.v20i1.5849Keywords:
Sustainability, Building Information Modeling, Construction Waste, Dynamo, AutomationAbstract
The construction industry, essential for economic progress, is a significant source of environmentally harmful waste. Given this context, the main objective of this research is to quantitatively assess the waste generated throughout the project's life cycle in detail. To achieve this, the BIM methodology was utilized, integrating Revit software, the Dynamo interface, and the Python programming language. Notably, an algorithm was developed for quantifying waste in the construction and demolition phases. The results demonstrate advantages such as time savings, reduced manual errors, and customization capability to meet specific requirements. This study contributes to academia by creating an algorithm that improves sustainable waste management in the construction industry, while also offering the industry innovative ways to promote sustainable practices. To address future challenges, it is suggested to fully automate the process and explore emerging technologies in subsequent research.
References
[ 1 ] QUAPP, Ulrike; HOLSCHEMACHER, Klaus. Implementation of Sustainable Planning and Building in Civil Engineering Ethics. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, v. 16, n. 1, p. 04523049, 2024.
[ 2 ] United Nations. (2022). Global Status Report for Buildings and Construction: Towards a Zero emission, Efficient and Resilient Buildings and Construction Sector. www.globalabc.org.
[ 3 ] LOIZOU, Loizos et al. Quantifying advantages of modular construction: Waste generation. Buildings, v. 11, n. 12, p. 622, 2021.
[ 4 ] JALAEI, Farzad; ZOGHI, Milad; KHOSHAND, Afshin. Life cycle environmental impact assessment to manage and optimize construction waste using Building Information Modeling (BIM). International Journal of Construction Management, v. 21, n. 8, p. 784-801, 2019.
[ 5 ] ABRELPE. (2022). Panorama dos Resíduos Sólidos no Brasil. https://abrelpe.org.br/download-panorama-2022
[ 6 ] KERN, Andrea Parisi et al. Waste generated in high-rise buildings construction: A quantification model based on statistical multiple regression. Waste Management, v. 39, p. 35-44, 2015.
[ 7 ] CHENG, Jack CP; MA, Lauren YH. A BIM-based system for demolition and renovation waste estimation and planning. Waste management, v. 33, n. 6, p. 1539-1551, 2013.
[ 8 ] YUAN, H. P. et al. A model for cost–benefit analysis of construction and demolition waste management throughout the waste chain. Resources, conservation and recycling, v. 55, n. 6, p. 604-612, 2011.
[ 9 ] GUPTA, Sakshi; JHA, Kumar Neeraj; VYAS, Gayatri. Proposing building information modeling-based theoretical framework for construction and demolition waste management: Strategies and tools. International Journal of Construction Management, v. 22, n. 12, p. 2345-2355, 2022.
[ 10 ] YUAN, Hongping; SHEN, Liyin. Trend of the research on construction and demolition waste management. Waste management, v. 31, n. 4, p. 670-679, 2011.
[ 11 ] SKOYLES, Edward R. Waste prevention on site. BT Batsford Limited, 1987.
[ 12 ] PELLEGRINI, Laura et al. Digital transition and waste management in architecture, engineering, construction, and operations industry. Frontiers in Energy Research, v. 8, p. 576462, 2020.
[ 13 ] ANUPAMA, V. M. et al. Application of lean principles for efficiency enhancement of BIM process. Asian Journal of Civil Engineering, p. 1-11, 2023.
[ 14 ] BASTA, Andrew; SERROR, Mohammed Hassanien; MARZOUK, Mohamed. A BIM-based framework for quantitative assessment of steel structure deconstructability. Automation in construction, v. 111, p. 103064, 2020.
[ 15 ] OSTROWSKA-WAWRYNIUK, Karolina. Prefabrication 4.0: BIM-aided design of sustainable DIY-oriented houses. International Journal of Architectural Computing, v. 19, n. 2, p. 142-156, 2021.
[ 16 ] LIMA, Patricia Rodrigues Balbio; DE SOUZA RODRIGUES, Conrado; POST, Jouke M. Integration of BIM and design for deconstruction to improve circular economy of buildings. Journal of Building Engineering, v. 80, p. 108015, 2023.
[ 17 ] THABET, Walid; LUCAS, Jason; SRINIVASAN, Sai. Linking life cycle BIM data to a facility management system using Revit Dynamo. Organization, technology & management in construction: an international journal, v. 14, n. 1, p. 2539-2558, 202.
[ 18 ] YANG, Bin et al. A bim-based approach to automated prefabricated building construction site layout planning. KSCE Journal of Civil Engineering, v. 26, n. 4, p. 1535-1552, 2022.
[ 19 ] QUIÑONES, Rocío et al. Quantification of construction waste in early design stages using bim-based tool. Recycling, v. 7, n. 5, p. 63, 2022.
[ 20 ] HEIGERMOSER, Daniel et al. BIM-based Last Planner System tool for improving construction project management. Automation in Construction, v. 104, p. 246-254, 2019.
[ 21 ] GUERRA, Beatriz C. et al. BIM-based automated construction waste estimation algorithms: The case of concrete and drywall waste streams. Waste Management, v. 87, p. 825-832, 2019.
[ 22 ] AKINADE, Olugbenga O.; OYEDELE, Lukumon O. Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS). Journal of Cleaner Production, v. 229, p. 863-873, 2019.
[ 23 ] SIVASHANMUGAM, Subarna et al. Enhancing information standards for automated construction waste quantification and classification. Automation in Construction, v. 152, p. 104898, 2023.
[ 24 ] MAZZOLI, Cecilia et al. Building information modeling as an effective process for the sustainable re-shaping of the built environment. Sustainability, v. 13, n. 9, p. 4658, 2021.
[ 25 ] MCKINNEY, Wes. Python para análise de dados: Tratamento de dados com Pandas, NumPy e IPython. Novatec Editora, 2018.
[ 26 ] SOLÍS-GUZMÁN, Jaime et al. A Spanish model for quantification and management of construction waste. Waste management, v. 29, n. 9, p. 2542-2548, 2009.
[ 27 ] ALVES TENÓRIO DE MORAIS, Gabriela et al. Integration potential between REVIT and LEED: a review. Architectural Engineering and Design Management, p. 1-16, 2023.
[ 28 ] GHAFFARIANHOSEINI, Ali et al. Amplifying the practicality of contemporary building information modelling (BIM) implementations for New Zealand green building certification (Green Star). Engineering, Construction and Architectural Management, v. 24, n. 4, p. 696-714, 2017.
[ 29 ] ODUYEMI, Olufolahan; OKOROH, Michael Iheoma; FAJANA, Oluwaseun Samuel. The application and barriers of BIM in sustainable building design. Journal of Facilities Management, v. 15, n. 1, p. 15-34, 2017.
[ 30 ] AKDAG, S. Girginkaya; MAQSOOD, Uzair. A roadmap for BIM adoption and implementation in developing countries: the Pakistan case. Archnet-IJAR: International Journal of Architectural Research, v. 14, n. 1, p. 112-132, 2019.
[ 31 ] ALMUTIRI, Yasser. Awareness of Building Information Modeling implementation and green buildings in the building industry in the Kingdom of Bahrain. In: 2020 Second International Sustainability and Resilience Conference: Technology and Innovation in Building Designs (51154). IEEE, 2020. p. 1-5.
[ 32 ] SPIŠÁKOVÁ, Marcela et al. Waste management in a sustainable circular economy as a part of design of construction. Applied Sciences, v. 12, n. 9, p. 4553, 2022.
[ 33 ] LUZ, Fernanda Catarina Ribeiro et al. Investigando tendências em Green BIM: uma análise bibliométrica. Simpósio Brasileiro de Tecnologia da Informação e Comunicação na Construção, v. 4, p. 1-11, 2023.
[ 34 ] ARAUJO, Adolpho Guido; CARNEIRO, Arnaldo Manoel Pereira; PALHA, Rachel Perez. Sustainable construction management: A systematic review of the literature with meta-analysis. Journal of Cleaner Production, v. 256, p. 120350, 2020.
