Chapter 10
Digital Twins for Predictive Maintenance, Conservation, and Rehabilitation Procedures of Historical Buildings: The Case of the “Museu Republicano Convenção de Itu,” Brazil
Publication: Digital Twins in Construction and the Built Environment
Abstract
For historical Building Information Modeling (HBIM), surveying and modeling efforts generally concentrate on the accurate representation of spaces and constructive elements, but with the techniques employed, result in static representations that do not make use of real-time data. This chapter explores HBIM and digital twins (DT) to develop an innovative workflow to parametrically model historical buildings. It reviews existing workflows, modeling methods, data acquisition, and processing techniques to integrate geometric, historical, constructive, and real-time monitoring data in HBIM models to develop a DT that could be used in simulations and studies. These support the management, preventive maintenance and publicizing of historic buildings. The chapter uses the Museu Republicano “Convenção de Itu,” a building listed by the Brazilian National Historical and Artistic Heritage Institute, as a pilot case study to refine and validate the developed workflow.
Get full access to this chapter
View all available purchase options and get full access to this chapter.
Acknowledgments
This research was funded by the University of São Paulo, Dean's Office for Research Edital de Apoio a Projetos Integrados de Pesquisa em Áreas Estratégicas (PIPAE) Grant, by Conselho Nacional de Desenvolvimento Cientifico e Tecnológico—CNPq through productivity grants awarded to coauthors Rosaria Ono (308638/2020-4), Sheila Walbe Ornstein (304131/2020-2) and Márcio Minto Fabricio (308379/2021-7), and São Paulo State Research Foundation (FAPESP: 2022/15430-0). All figures were created by the authors of this chapter.
References
ABNT (Associação Brasileira de Normas Técnicas). 2022. Sistema de classificação da informação da construção—Parte 5: Resultados da construção. NBR 15965-5-05/2022. Brasil: ABNT.
Amorim, A. L. 2017. “Documentação arquitetônica como uma atividade multi, inter e transdisciplinar.” PontodeAcesso 11 (1): 61–84.
Angjeliu, G., D. Coronelli, and G. Cardani. 2020. “Development of the simulation model for Digital Twin applications in historical masonry buildings: The integration between numerical and experimental reality.” Comput. Struct. 238 (1): 106282.
Artus, M., and C. Koch. 2022. “Object-oriented damage information modeling concepts and implementation for bridge inspection.” J. Comput. Civ. Eng. 36 (6): 04022029.
Bastem, S. S., and A. Cekmis. 2022. “Development of historic building information modelling: A systematic literature review.” Build. Res. Inf. 50 (5): 527–558.
Boje, C., A. Guerriero, S. Kubicki, and Y. Rezgui. 2020. “Towards a semantic construction digital twin: Directions for future research.” Autom. Constr. 114 (June): 103179.
Brumana, R., D. Oreni, A. Raimondi, A. Georgopoulos, et al. 2013. “From survey to HBIM for documentation, dissemination and management of built heritage: The case study of St. Maria in Scaria d'Intelvi.” In Proc., Digital Heritage Int. Congress, 497–504. New York: IEEE.
Bruno, S., M. De Fino, and F. Fatiguso. 2018. “Historic building information modelling: Performance assessment for diagnosis-aided information modelling and management.” Autom. Constr. 86 (1): 256–276.
Chiabrando, F., V. Donato, M. Lo Turco, and C. Santagati. 2018. “Cultural heritage documentation, analysis and management using building information modelling: State of the art and perspectives.” In Vol. 92 of Mechatronics for Cultural Heritage and Civil Engineering Intelligent Systems Control and Automation Science and Engineering, edited by E. Ottaviano, A. Pelliccio, and V. Gattulli, 181–202. Cham, Switzerland: Springer.
de Almeida, M. F., M. A. M. Borrego, A. C. Nora, G. N. Vanini, et al. 2023. “Museu Republicano Convenção de Itu.” Timelinefy. Accessed July 29, 2024. https://www.timelinefy.com/timelines/2681.
de Oliveira e Sousa, M. N. P., and F. R. Correa. 2023. “Towards digital twins for heritage buildings: A workflow proposal.” Int. J. Archit. Comput. 21 (4): 1–18.
Dezen-Kempter, E., D. L. Mezencio, E. D. M. Miranda, D. P. De Sá, et al. 2020. “Towards a digital twin for heritage interpretation-from HBIM to AR visualization.” In Vol. 2 of Proc., 25th Int. Conf. on Association for Computer-Aided Architectural Design Research in Asia, edited by D. Holzer, W. Nakapan, A. Globa, and I. Koh, 183–191. Bangkok: Chulalongkorn University.
Falcone, M., A. Origlia, M. Campi, and S. Di Martino. 2021. “From architectural survey to continuous monitoring: Graph-based data management for cultural heritage conservation with digital twins.” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLIII-B4-2 (1): 47–53.
Funari, M. F., A. E. Hajjat, M. G. Masciotta, D. V. Oliveira, et al. 2021. “A parametric scan-to-FEM framework for the digital twin generation of historic masonry structures.” Sustainability 13 (19): 11088.
Grieves, M., and J. Vickers. 2017. “Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems.” In Transdisciplinary Perspectives on Complex Systems, edited by F.-J. Kahlen, S. Flumerfelt, and A. Alves, 85–113. Cham, Switzerland: Springer.
Groetelaars, N. 2015. Criação de Modelos BIM a partir de ‘nuvens de pontos’: Estudo de métodos e técnicas para documentação arquitetônica. Salvador, Brazil: Faculdade de Arquitetura, Universidade Federal da Bahia.
Hernández, J. L., P. M. Lerones, S. Álvarez, P. Bonsma, et al. 2018. “An IFC-based interoperable framework for building linked-data.” In Proc., 6th Linked Data Architecture and Construction Workshop, 44–51. London: University College London.
Kaewunruen, S., and N. Xu. 2018. “Digital twin for sustainability evaluation of railway station buildings.” Front. Built Environ. 4 (77): 1–10.
Khalil, A., S. Stravoravdis, and D. Backes. 2021. “Categorisation of building data in the digital documentation of heritage buildings.” Appl. Geomatics 13 (1): 29–54.
La Russa, F. M., and C. Santagati. 2020. “Historical sentient—Building information model: A digital twin for the management of museum collections in historical architectures.” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLIII-B4-2 (1): 755–762.
Lehtiranta, L., and J.-M. Junnonen. 2015. “The constructive approach: Problem solving for complex projects.” In Designs, Methods and Practices for Research of Project Management, edited B. Basian, 95–106. London: Gower Applied Business Research.
Lukka, K. 2003. “The constructive research approach.” In Case Study in Research in Logistics, edited by L. Ojala and O. P. Hilmola, 83–101. Turku, Finland: Turku School of Economics and Business Administration.
Marra, A., S. Gerbino, A. Greco, and G. Fabbrocino. 2021. “Combining integrated informative system and historical digital twin for maintenance and preservation of artistic assets.” Sensors 21 (17): 5956.
Martins, P. N., G. Pereira, L. Sanhudo, and A. A. Costa. 2022. “Digital Twin para a gestão inteligente de edifícios: o caso do Smart Office do Built Colab.” In Vol. 1 of 4o Congresso Portugues de Building Information Modelling, edited by B. Figueiredo, M. Azenha, J. C. Lino, J. Granja, and J. P. Martins, 494–505. Braga, Portugal: UMinho Editora.
Merriam-Webster Dictionary. n.d. “Defect.” Accessed January 25, 2023. https://www.merriam-webster.com/dictionary/defect.
Murphy, M., E. Mcgovern, and S. Pavia. 2009. “Historic building information modelling (HBIM).” Struct. Surv. 27 (4): 311–327.
Ni, Z., P. Eriksson, Y. Liu, M. Karlsson, et al. 2021. “Improving energy efficiency while preserving historic buildings with digital twins and artificial intelligence.” IOP Conf. Ser. Earth Environ. Sci. 863 (1): 012041.
Oliveira, M. M. 2008. A Documentação como Ferramenta de Preservação da Memória. Brasília, DF: IPHAN/Programa Monumenta.
Pocobelli, D. P., J. Boehm, P. Bryan, J. Still, et al. 2018. “BIM for heritage science: A review.” Herit. Sci. 6 (1): 30.
Previtali, M., and F. Banfi. 2018. “Towards the definition of workflows for automation in HBIM generation.” In Digital Heritage Progress in Cultural Heritage: Documentation, Preservation, and Protection EuroMed 2018. Lecture Notes in Computer Science, edited by M. Ioannides, E. Fink, R. Brumana, P. Patias, A. Doulamis, J. Martins, and M. Wallace, 52–63. Cham, Switzerland: Springer.
Radanovic, M., K. Khoshelham, and C. Fraser. 2020. “Geometric accuracy and semantic richness in heritage BIM: A review.” Digit. Appl. Archaeol. Cult. Herit. 19 (1): e00166.
Rio, J., B. Ferreira, and J. Poças-Martins. 2013. “Expansion of IFC model with structural sensors.” Inf. Constr. 65 (530): 219–228.
Schneider, G. F., M. H. Rasmussen, P. Bonsma, J. Oraskari, et al. 2018. “Linked building data for modular building information modelling of a smart home.” In eWork and Ebusiness in Architecture, Engineering and Construction, edited by J. Karlshøj and R. Scherer, 407–414. London: CRC Press.
Tahmasebinia, F., D. Fogerty, L. O. Wu, Z. Li, et al. 2019. “Numerical analysis of the creep and shrinkage experienced in the Sydney Opera House and the rise of digital twin as future monitoring technology.” Buildings 9 (6): 137.
Trento, A., G. Wurzer, and U. M. Coraglia. 2019. “A digital twin for directing people flow in preserved heritage buildings.” In Vol. 1 of 37th Education and Research in Computer Aided Architectural Design in Europe 23rd Iberoamerican Society of Digital Graphics—Architecture in the Age of the 4th Industrial Revolution, edited by J. Sousa, J. Xavier, and G. Castro Henriques, 561–568. Porto, Portugal: University of Porto.
Zaker, R., A. Eghra, and P. Pahlavan. 2021. “Documentation and HBIM of industrial heritage using drone images: Petroleum reservoir of Mashhad.” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLVI-M-1-2 (1): 917–923.
Information & Authors
Information
Published In
Digital Twins in Construction and the Built Environment
Pages: 219 - 250
Editors: Houtan Jebelli, Ph.D., Somayeh Asadi, Ph.D., Ivan Mutis, Ph.D., Rui Liu, Ph.D., and Jack Cheng, Ph.D.
ISBN (Online): 978-0-7844-8560-6
Copyright
© 2024 by the American Society of Civil Engineers.
History
Published online: Sep 23, 2024
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.