Volume 8 • Issue 2 • PP: 01–11 • 2024
The Importance of Applying Digital Twin Technology and Its Obstacles in Engineering Projects in Syria
Open Access & Copyright
© 2024 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Abstract
This study focuses on defining the industrial revolution and digital transformation, including their associated technologies and how they have impacted the fields of industry and construction. Additionally, it delves into the concept of digital twin technology, exploring its origins, definition, stages, maturity levels, and scale. The study also examines the components of digital twin technology, its ecosystem, characteristics, and key features of its application. Specifically in the field of construction, it discusses the components of digital twin technology and their overlap with building information modeling throughout a building's life cycle. The study emphasizes the importance of data in shaping digital twin models and outlines relevant standards. It also highlights various digital twin platforms used in construction along with machine learning algorithms employed in these systems. Finally, it explores how digital twin technology is used in construction projects and outlines its benefits while also identifying key obstacles to its implementation in engineering projects. The objective of this study is to assess the level of familiarity among workers in the construction industry in Syria with digital twin technology, their understanding of its application, and the primary obstacles to its implementation in engineering projects. A descriptive approach was employed, and a questionnaire was distributed to 36 participants with varying levels of education and engineering experience. The Likert scale was used to evaluate responses, and statistical software SPSS was utilized for quantitative analysis. The findings indicate a low level of awareness and knowledge regarding digital twin technology, resulting in limited comprehension of its significance and relevance in engineering projects. This may be attributed to inadequate exposure to new research and studies as well as the country's crisis. The study concludes with recommendations such as prioritizing training for construction workers, enhancing infrastructure, and conducting additional research on digital twin technology within the construction sector.
Keywords
References
[1] R. Vanlande, C. Nicolle, and C. Cruz, “IFC and building lifecycle management,” Automation in Construction, vol. 18, no. 1, pp. 70–78, 2008.
[2] M. Hooper and A. Ekholm, “A pilot research: Towards BIM integration—an analysis of design information exchange and coordination,” in Proceedings of the CIB W, 2010.
[3] M. Das, J. C. P. Cheng, and S. S. Kumar, “Social BIMCloud: A distributed cloud-based BIM platform for object-based lifecycle information exchange,” Visualization in Engineering, vol. 3, no. 1, p. 8, 2015.
[4] S. Tang, D. R. Shelden, C. M. Eastman, P. Pishdad- Bozorgi, and X. Gao, “BIM-assisted building automation system information exchange using BACnet andIFC,” Automation in Construction, vol. 110, p. 103049, 2020.
[5] M. Shafto, M. Conroy, R. Doyle, E. Glaessgen, C. Kemp, J. LeMoigne, and L. Wang, “Draft modeling, simulation, information technology and processing roadmap,” NASA, Tech. Rep. Technology Area 11, 2010.
[6] E. Negri, L. Fumagalli, andM. Macchi, “A review of the roles of digital twin in CPS-based production systems,” Procedia Manufacturing, vol. 11, pp. 939–948, 2017.
[7] C. Zhuang, J. Liu, and H. Xiong, “Digital twin-based smart production management and control framework for the complex product assembly shop-floor,” International Journal of Advanced Manufacturing Technology, vol. 96, no. 1–4, pp. 1149–1163, 2018.
[8] F. A. Machado and R. C. Ruschel, “Solutions integrating BIM and internet of things in building life cycle: A critical review,” PARC Research in Architecture and Construction, vol. 9, no. 3, pp. 204–222, 2018.
[9] S. Tang, D. R. Shelden, C. M. Eastman, P. Pishdad- Bozorgi, and X. Gao, “A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends,” Automation in Construction, vol. 101, pp. 127–139, 2019.
[10] M. Shahinmoghadam and A. Motamedi, “Review of BIM-centred IoT deployment—state of the art, opportunities, and challenges,” in Proceedings of the 36th International Symposium on Automation and Robotics in Construction, 2019.
[11] A. Elhendawi, A. Smith, and E. Elbeltagi, “Methodology for BIM implementation in the kingdom of saudi arabia,” International Journal of BIM and Engineering Science, vol. 2, no. 1, pp. 1–21, 2019.
[12] M. Shaban and A. Elhendawi, “Building information modeling in syria: Obstacles and requirements for implementation,” International Journal of BIM and Engineering Science, vol. 1, no. 1, pp. 42–64, 2018.
[13] M. Evans, P. Farrell, E. Elbeltagi, A. Mashali, and A. Elhendawi, “Influence of partnering agreements associated with BIM adoption on stakeholders’ behaviour in construction mega-projects,” International Journal of BIM and Engineering Science, vol. 3, no. 1, pp. 1–20, 2020.
[14] A. Banawi, O. Aljobaly, and C. Ahiable, “A comparative review of building information modeling frameworks,” International Journal of BIM and Engineering Science, vol. 2, no. 2, pp. 23–49, 2019.
[15] S. Ahmed and P. Dlask, “The gradual transition to BIM in syrian companies,” in Proceedings of the Creative Construction Conference 2018, Ljubljana, Slovenia, 2018.
[16] N. Yusof, S. Ishak, and R. Doheim, “An exploratory study of building information modelling maturity in the construction industry,” International Journal of BIM and Engineering Science, vol. 1, no. 1, pp. 6–19, 2018.
[17] A. Elhendawi, “Methodology for BIM implementation in KSA in AEC industry,” Master’s thesis, Edinburgh Napier University, Edinburgh, UK, 2018.
[18] E. Al Hammoud, “Comparing BIM adoption around the world: Syria’s current status and future,” International Journal of BIM and Engineering Science, vol. 4, no. 2, pp. 64–78, 2021.
[19] R. Safour, S. Ahmed, and B. Zaarour, “BIM adoption around the world,” International Journal of BIM and Engineering Science, vol. 4, no. 2, pp. 49–63, 2021.
[20] M. Grieves, “Origins of the digital twin concept,” ResearchGate publication 307509727, 2016.
[21] M. W. Grieves, “Product lifecycle management: The new paradigm for enterprises,” International Journal of Product Development, vol. 2, pp. 71–84, 2005.
[22] D. Gelernter, Mirror Worlds: Or: The Day Software Puts the Universe in a Shoebox—How It Will Happen and What ItWill Mean. Oxford, UK: Oxford University Press, 1993.
[23] M. Grieves, “Intelligent digital twins and the development and management of complex systems,” Digital Twin Institute, Cocoa Beach, 2021, excerpt from a forthcoming chapter.
[24] Y. Schwartz, S. Eleftheriadis, R. Raslan, and D. Mumovic, “Semantically enriched BIM life cycle assessment to enhance buildings’ environmental performance,” in Proceedings of the CIBSE Technical Symposium, Edinburgh, UK, 2016.
[25] D. Greenbaum, A. Lavazza, K. Beier, K. Bruynseels, F. Santoni De Sio, and J. Van Den Hoven, “Digital twins in health care: Ethical implications of an emerging engineering paradigm,” Frontiers in Genetics, vol. 9, p. 31, 2018.
[26] FM:Systems, “Manage your facilities and real estate more effectively,” Company software webpage, 2016.
[27] S. K. Pal, D. Mishra, A. Pal, and S. Dutta, Digital Twin—Fundamental Concepts to Applications in Advanced Manufacturing. Springer Nature Switzerland AG, 2021.
[28] G. L. Knapp, T. Mukherjee, J. S. Zuback, H. L. Wei, T. A. Palmer, A. De, and T. DebRoy, “Building blocks for a digital twin of additive manufacturing,” Acta Materialia, vol. 135, pp. 390–399, 2017.
[29] D. Oliver, D. Adam, and A. P. Hudson-Smith, “Living with a digital twin: Operational management and engagement using IoT and mixed realities at UCL’s here east campus on the queen elizabeth olympic park,” in Proceedings of GIScience and Remote Sensing, Leicester, UK, 2018.
[30] S. V. Nath and P. van Schalkwyk, Building Industrial Digital Twins. Birmingham, UK: Packt Publishing Ltd., 2021.
[31] M. Batty, “Digital twins,” Environment and Planning B: Urban Analytics and City Science, vol. 45, pp. 817–820, 2018.
[32] S. Singh, E. Shehab, N. Higgins, K. Fowler, T. Tomiyama, and C. Fowler, “Challenges of digital twin in high-value manufacturing,” SAE International, Warrendale, PA, USA, Tech. Rep., 2018.
[33] A. Wyckoff and D. Pilat, “Key issues for digital transformation in the G20,” OECD, Berlin, Germany, Tech. Rep., 2017.
[34] Compunnel Digital, “Common pitfalls to digital twin implementation,” Online infographic, 2020.
[35] T. Gabor, L. Belzner, M. Kiermeier, M. T. Beck, and A. Neitz, “A simulation-based architecture for smart cyber-physical systems,” in 2016 IEEE International Conference on Autonomic Computing, Wuerzburg, Germany, 2016, pp. 374–379.
[36] F. Tao, J. Cheng, Q. Qi, M. Zhang, H. Zhang, and F. Sui, “Digital twin-driven product design, manufacturing and service with big data,” International Journal of Advanced Manufacturing Technology, vol. 94, pp. 3563–3576, 2018.
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