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OPERATIONALISING CONCEPTS OF DIGITAL TWINS ON DIFFERENT MATURITY LEVELS (FOETAL, CHILD, ADULT) FOR THE ARCHITECTURAL DESIGN PROCESS

Published online by Cambridge University Press:  19 June 2023

Gülbahar Emir Isik  and
Henri Hubertus Achten
Gülbahar Emir Isik*
Affiliation:
Czech Technical University in Prague
Henri Hubertus Achten
Affiliation:
Czech Technical University in Prague
*
Emir Isik, Gülbahar, Czech Technical University in Prague, Czech Republic, [email protected]

Abstract

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A digital twin is the mapping of a physical twin between hybrid spaces. The lifecycle of digital and physical twins occurs through the concepts of foetal, child, and adult twins. This technology can be used to assist clients and designers with real-time data. The use of digital twin technology in architectural design can be realised at various stages, from design to operation. Designers will be able to gain knowledge of the past, present, and future using this technology. This will reveal possible design scenarios. In this study, a hypothetical scenario is designed, in which designers build a building while already having a digital twin template. To do this, Building Information Modelling (BIM) is used as a reference model for digital twins, along with the fidelity levels of digital twins and the level of detail-development of BIM. When designers want to design a new project related to their predecessors, they already use the same type of digital twin-building portfolio they can use for their new design. A digital twin will help optimise the new process. Therefore, the digital twin of a building with a similar building type can be used to extract relevant data for the design process.

Keywords

Design processComputational design methodsDesign engineeringdigital twinfoetal-child-adult digital and physical twins
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2825 - 2834
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Alonso, R., Borras, M., Koppelaar, R.H.E.M., Lodigiani, A., Loscos, E. and Yöntem, E. (2019), “SPHERE: BIM Digital Twin Platform”, Sustainable Places, Vol. 20 No. 1. https;//doi.org/10.3390/proceedings2019020009Google Scholar
Arup (2019), Digital Twin: Towards a Meaningful Framework. Available at: https:// www.arup.com/-/media/arup/files/publications/d/digital-twin-report.pdf (Accessed: 29 September 2021).Google Scholar
Batty, M. (2018), “Digital Twins”, Environment and Planning B: Urban Analytics and City Science, Vol. 45 No. 5, pp. 817–820. https://doi.org/10.1177/2399808318796416Google Scholar
Bedrick, J., Reinhardt, J. and Ikerd, W. (2020), Level of Development Specification. Available at: https://bimforum.org/lod (Accessed: 10 October 2022).Google Scholar
Boje, C., Guerriero, A., Kubicki, S. and Rezgui, Y. (2020), “Towards a Semantic Construction Digital Twin: Directions for Future Research”, Automation in Construction, Vol. 114. https://doi.org/10.1016/j.autcon.2020.103179CrossRefGoogle Scholar
Conrad, J., Köhler, C., Wanke, S. and Weber, C. (2008), “What is Design Knowledge from the Viewpoint of CPM/PDD?”, DS 48: Proceedings DESIGN 2008, the 10th International Design Conference, Dubrovnik, Croatia, 19-22 May, pp. 745–752.Google Scholar
Coupry, C., Noblecourt, S., Richard, P., Baudry, D. and Bigaud, D. (2021), “BIM-Based digital twin and XR devices to improve maintenance procedures in smart buildings: A literature review”, Applied Sciences, Vol. 11 No. 15, p. 6810. https://doi.org/10.3390/app11156810CrossRefGoogle Scholar
Delgado, J.M.D. and Oyedele, L. (2021), “Digital Twins for the Built Environment: Learning From Conceptual and Process Models in Manufacturing”, Advanced Engineering Informatics, Vol. 49. https://doi.org/10.1016/j.aei.2021.101332Google Scholar
Deng, M., Menassa, C.C. and Kamat, V.R. (2021), “From BIM to Digital Twins: A Systematic Review of the Evolution of Intelligent Building Representations In The AEC-FM Industry”, Journal of Information Technology in Construction (ITcon), Vol. 26 No. 5, pp. 58–83. https://doi.org/10.36680/j.itcon.2021.005CrossRefGoogle Scholar
Duan, H. and Tian, F. (2020), “The Development of Standardized Models of Digital Twin”, IFAC-PapersOnLine, Vol. 53 No. 5, pp. 726–731. https://doi.org/10.1016/j.ifacol.2021.04.164CrossRefGoogle Scholar
Isik, Emir, and Achten, G., H. (2022a), “Can We Use Digital Twin Technology in the Design Process? A Theoretical Framework”, ARCHDESIGN’22 / IX. International Architectural Design Conference Proceedings, Istanbul, Turkey, 6 May, pp. 45–54Google Scholar
Emir Isik, G. and Achten, H. (2022b), “Architectural Hybrid (physical-digital) Prototyping in Design Processes with Digital Twin Technologies”, 10th ASCAAD International Conference, Beirut, Lebanon, 12–13 October, pp. 43–60.Google Scholar
Gelernter, D. (1991), Mirror worlds: or the day software puts the universe in a shoebox… how it will happen and what it will mean. Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780195068122.001.0001CrossRefGoogle Scholar
Glaessgen, E. and Stargel, D. (2012), “The Digital Twin Paradigm for Future NASA and US Air Force Vehicles”, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, 23–26 April. https://doi.org/10.2514/6.2012-1818CrossRefGoogle Scholar
Kalantari, S., Pourjabar, S., Xu, T.B. and Kan, J. (2022), “Developing and User-testing a “Digital Twins” Prototyping Tool For Architectural Design”, Automation in Construction, Vol. 135. https://doi.org/10.1016/j.autcon.2022.104140Google Scholar
Kaur, M.J., Mishra, V.P. and Maheshwari, P. (2020), “The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data Into Action”, in Farsi, M., Daneshkhah, A., Hosseinian-Far, A., Jahankhani, H. (eds.) Digital twin technologies and smart cities. Springer, Cham, pp. 3–17. http://dx.doi.org/10.1007/978-3-030-18732-3_1Google Scholar
Khajavi, S., Motlagh, N.H., Jaribion, A., Werner, L.C. and Holmström, J. (2019), “Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings”, IEEE Access, Vol. 7, pp. 147406–147419. https://10.1109/ACCESS.2019.2946515CrossRefGoogle Scholar
Jones, D., Snider, C., Kent, L. and Hicks, B. (2019), “Early Stage Digital Twins for Early Stage Engineering Design”, Proceedings of the Design Society: International Conference on Engineering Design (ICED 19), Delft, The Netherlands, 5–8 August, Vol. 1 No. 1, pp. 2557–2566. https://doi.org/10.1017/dsi.2019.262CrossRefGoogle Scholar
Jones, D., Snider, C., Nassehi, A., Yon, J. and Hicks, B. (2020), “Characterising the Digital Twin: A Systematic Literature Review”, CIRP Journal of Manufacturing Science and Technology, Vol. 29, pp. 36–52. https://doi.org/10.1016/j.cirpj.2020.02.002CrossRefGoogle Scholar
Lu, Q., Parlikad, A. K., Woodall, P., Don Ranasinghe, G., Xie, X., Liang, Z., Konstantinou, E., Heaton, J. and Schooling, J. (2020), “Developing A Digital Twin at Building and City Levels: A Case Study of West Cambridge Campus”, Journal of Management in Engineering, Vol. 36 No. 3. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000763CrossRefGoogle Scholar
Madni, A.M., Madni, C.C. and Lucero, S.D. (2019), “Leveraging Digital Twin Technology in Model-Based Systems Engineering”, Systems, Vol. 7 No. 1, p. 7. https://doi.org/10.3390/systems7010007CrossRefGoogle Scholar
Pylianidis, C., Osinga, S. and Athanasiadis, I. N. (2021), “Introducing digital twins to agriculture”, Computers and Electronics in Agriculture, Vol. 184. https://doi.org/10.1016/j.compag.2020.105942Google Scholar
Rios, J., Hernandez, J.C., Oliva, M. and Mas, F. (2015), “Product Avatar as Digital Counterpart of a Physical Individual Product: Literature Review and Implications in an Aircraft”. In: Curran, J., Wognum, N., Borsato, M., Stjepandić, J. and Verhagen, W.J.C., (eds), Advances in Transdisciplinary Engineering, Transdisciplinary Lifecycle Analysis of Systems, Vol. 2, pp. 657–666. https://doi.org/10.3233/978-1-61499-544-9-657Google Scholar
Roozenburg, N.F. and Eekels, J. (1995), Product Design: Fundamentals and Methods. Newyork: John Wiley & Sons.Google Scholar
Sacks, R., Brilakis, I., Pikas, E., Xie, H.S. and Girolami, M. (2020), “Construction with Digital Twin Information Systems”, Data-Centric Engineering, Vol. 1(e14), pp. 1–26. https://doi.org/10.1017/dce.2020.16CrossRefGoogle Scholar
Singh, M., Fuenmayor, E., Hinchy, E. P., Qiao, Y., Murray, N. and Devine, D. (2021), “Digital twin: Origin to future”, Applied System Innovation, Vol. 4 No. 2, p. 36. https://doi.org/10.3390/asi4020036CrossRefGoogle Scholar
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F. (2018), “Digital Twin-Driven Product Design, Manufacturing and Service With Big Data”, The International Journal of Advanced Manufacturing Technology, Vol. 94 No. 9, pp. 3563–3576. https://doi.org/10.1007/s00170-017-0233-1CrossRefGoogle Scholar
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo, Z., Lu, S.C.Y. and Nee, A.Y.C. (2019), “Digital Twin-Driven Product Design Framework”, International Journal of Production Research, Vol. 57 No. 12, pp. 3935–3953. https://doi.org/10.1080/00207543.2018.1443229CrossRefGoogle Scholar
Zhang, J., Cheng, J.C.P., Chen, W. and Chen, K. (2022), “Digital Twins for Construction Sites: Concepts, LoD Definition, and Applications”, Journal of Management in Engineering, Vol. 38 No. 2, 04021094. http://dx.doi.org/10.1061/(ASCE)ME.1943-5479.0000948Google Scholar