Directions for the formation of «City Intelligent models» using artificial intelligence for the post-war reconstruction of historical buildings
Dmytro Chashyn
dmytrochashyn@gmail.comDepartment of Organization and Management in Construction; Prydniprovska State Academy of Civil Engineering and Architecture; (Ukraine)
https://orcid.org/0000-0002-0986-9349
Yelyzaveta Khurudzhi
Department of Organization and Management in Construction; Prydniprovska State Academy of Civil Engineering and Architecture; (Ukraine)
https://orcid.org/0009-0000-0918-3403
Mindaugas Daukšys
Faculty of Civil Engineering and Architecture; Kaunas University of Technology; (Lithuania)
https://orcid.org/0000-0002-2749-3998
Abstract
Addressing the limitations of current digital simulations for historical buildings, this paper suggests a specific technical task for the development of a simulation analysis platform based on City Intelligent Modelling (CIM). The objective is to establish a systematic approach for digitally maintaining and managing historical dwellings. The technique presented in this paper focuses on constructing sophisticated parametric models that offer numerous modelling benefits, allowing for convenient updates to the Historic Building Information Modelling (HBIM). The text discusses various applications and integrations of Building Information Modelling (BIM) in urban planning, construction projects, and historic building renovations. CIM is presented as a comprehensive digital platform that visually represents cities, aiding urban planners in decision-making for sustainable development. The text delves into the use of advanced analytical tools within CIM for diverse data analysis, predictive modelling, and simulation to forecast trends. The focus shifts to the evolution of BIM, progressing from 3D to 5D models, influencing construction project management and cost estimation. The integration of BIM in historic building projects is explored, emphasising the challenges and proposing innovative solutions using HBIM. The paper also introduces the concept of Infrastructural Building Information Modelling (InfraBIM) in construction management, incorporating Virtual and Augmented Reality for enhanced visualisation.
Keywords:
CIM, post-war reconstruction, artificial intelligence, historical buildings, BIMReferences
Danial C. E. et la., "Methodology for retrofitting energy in existing office buildings using building information modelling programs”, Ain Shams Engineering Journal, vol. 16(6), (2023), 102175. https://doi.org/10.1016/j.asej.2023.102175
DOI: https://doi.org/10.1016/j.asej.2023.102175
Google Scholar
Qian Y. and Leng J., “CIM-based modeling and simulating technology roadmap for maintaining and managing Chinese rural traditional residential dwellings”, Journal of Building Performance, vol. 44, (2021), 103248. https://doi.org/10.1016/j.jobe.2021.103248
DOI: https://doi.org/10.1016/j.jobe.2021.103248
Google Scholar
Raza M.S. et al., “Potential features of building information modeling (BIM) for application of project management knowledge areas in the construction industry”, Heliyon, vol. 9 (October 2015): e19697. https://doi.org/10.1016/j.heliyon.2023.e19697
DOI: https://doi.org/10.1016/j.heliyon.2023.e19697
Google Scholar
Sewasew Y. and Tesfamariam S., “Historic building information modeling using image: Example of port city Massawa, Eritrea”, Journal of Building Performance, Vol. 78, (2023), 107662. https://doi.org/10.1016/j.jobe.2023.107662
DOI: https://doi.org/10.1016/j.jobe.2023.107662
Google Scholar
Murti C. K. and Muslim F., “Relationship between Functions, Drivers, Barriers, and Strategies of Building Information Modelling (BIM) and Sustainable Construction Criteria: Indonesia Construction Industry”, Sustainability, vol. 15(6), (2023), 5526. https://doi.org/10.3390/su15065526
DOI: https://doi.org/10.3390/su15065526
Google Scholar
Murillo K. S., Fouseki K. and Altamirano H., “A sociotechnical approach to users’ heritage values and decision-making processes for energy efficiency and thermal comfort in heritage buildings: A pilot study in Mexico City”, IOP Conference Series Earth and Environmental Science, vol. 863(1), (2021), 012031. https://doi.org/10.1088/1755-1315/863/1/012031
DOI: https://doi.org/10.1088/1755-1315/863/1/012031
Google Scholar
Fosu R. et al., “Integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS) – a literature review and future needs”, Proceedings of the 32nd International Conference of CIB W78, Eindhoven, The Netherlands, vol. 17(1), (2023), 19-34. https://doi.org/10.7494/geom.2023.17.1.19
DOI: https://doi.org/10.7494/geom.2023.17.1.19
Google Scholar
Caldart C.W. and Scheer S., “Construction site design planning using 4D BIM modeling”, Gestão & Produção, vol. 29(1), (2022). https://doi.org/10.1590/1806-9649-2022v29e5312
DOI: https://doi.org/10.1590/1806-9649-2022v29e5312
Google Scholar
Albino V., Berardi U., Dangelico R.M., “Smart Cities: Definitions, Dimensions, Performance, and Initiatives”, Journal of Urban Technology, vol. 22(1), (2015). https://doi.org/10.1080/10630732.2014.942092
DOI: https://doi.org/10.1080/10630732.2014.942092
Google Scholar
Mangia M., Lazoi M., Mangialardi G., “Digital Management of Large Building Stocks: BIM and GIS Integration-Based Systems”, book «Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations», (2022). https://doi.org/10.1007/978-3-030-94335-6_10
DOI: https://doi.org/10.1007/978-3-030-94335-6_10
Google Scholar
Huang Y-S., Shih S-G., Yen K-H., “An integrated GIS, BIM and facilities infrastructure information platform designed for city management”, Journal of the Chinese Institute of Engineers, vol. 44(4), (2021), 1-12. https://doi.org/10.1080/02533839.2021.1897481
DOI: https://doi.org/10.1080/02533839.2021.1897481
Google Scholar
Taye M. M., “Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions”, Computers, vol. 12(5): 91, (2023). https://doi.org/10.3390/computers12050091
DOI: https://doi.org/10.3390/computers12050091
Google Scholar
Prokop A., Nazarko P., Ziemiański L., “Digitalization of historic buildings using modern technologies and tools”, Budownictwo i Architektura, vol. 20(2) (2021), 83-94. https://doi.org/10.35784/bud-arch.2444
DOI: https://doi.org/10.35784/bud-arch.2444
Google Scholar
Kysil O., Kosarevska R., Levchenko O., “The innovation of accounting and certification of historic architectural monuments using BIM technology”, Budownictwo i Architektura, vol. 19(2), (2020), 5-18. https://doi.org/10.35784/bud-arch.888
DOI: https://doi.org/10.35784/bud-arch.888
Google Scholar
Stober D., Žarnić R., Penava D., Podmanicki M.T., “Application of HBIM as a Research Tool for Historical Building Assessment”, Civil Engineering Journal, vol. 4(7):1565, (2018). https://doi.org/10.28991/cej-0309195
DOI: https://doi.org/10.28991/cej-0309195
Google Scholar
Lee J. H., Ostwald M. J., Arasteh S., Oldfield P., “BIM-Enabled Design Collaboration Processes in Remote Architectural Practice and Education in Australia”, Journal of Architectural Engineering, vol. 29, issue 1, (2022). https://doi.org/10.1061/JAEIED.AEENG-1505
DOI: https://doi.org/10.1061/JAEIED.AEENG-1505
Google Scholar
Tsilimantou E., Delegou E. T., Nikitakos I. A., Ioannidis C., “GIS and BIM as Integrated Digital Environments for Modeling and Monitoring of Historic Buildings”, Applied Sciences, vol. 10(3):1078, (2022). https://doi.org/10.3390/app10031078
DOI: https://doi.org/10.3390/app10031078
Google Scholar
Authors
Dmytro Chashyndmytrochashyn@gmail.com
Department of Organization and Management in Construction; Prydniprovska State Academy of Civil Engineering and Architecture; Ukraine
https://orcid.org/0000-0002-0986-9349
Authors
Yelyzaveta KhurudzhiDepartment of Organization and Management in Construction; Prydniprovska State Academy of Civil Engineering and Architecture; Ukraine
https://orcid.org/0009-0000-0918-3403
Authors
Mindaugas DaukšysFaculty of Civil Engineering and Architecture; Kaunas University of Technology; Lithuania
https://orcid.org/0000-0002-2749-3998
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