• icon+90(535) 849 84 68
  • iconnwsa.akademi@hotmail.com
  • icon Fırat Akademi Samsun-Türkiye

Article Details

  • Article Code : FIRAT-AKADEMI-7037-5740
  • Article Type : Araştırma Makalesi
  • Publication Number : 2A0202
  • Page Number : 13-37
  • Doi : 10.12739/NWSA.2025.20.1.2A0202
  • Abstract Reading : 58
  • Download : 20
  • Share :

  • PDF Download

Issue Details

  • Year : 2025
  • Volume : 20
  • Issue : 1
  • Number of Articles Published : 2
  • Published Date : 1.01.2025

Cover Download Context Page Download
Technological Applied Sciences

Serial Number : 2A
ISSN No. : 1308-7223
Release Interval (in a Year) : 4 Issues

YAPILARIN DİJİTAL İKİZLERİ: KAPSAMLI BİR GENEL BAKIŞ

Cevdet Emin EKINCI1 , Özgür AYDIN2

Bu çalışma, modern mimarlık ve inşaat mühendisliğinde giderek artan önemine paralel olarak yapıların dijital ikizleri kavramını kapsamlı bir şekilde incelemektedir. Dijital ikizler, fiziksel bir yapının sensör verileriyle gerçek zamanlı olarak güncellenen dinamik ve sanal kopyalarıdır. Giriş bölümünde kavramın derinlemesine tanımı, tarihsel gelişimi ve günümüz yapı sektöründeki önemi vurgulanmaktadır. İkizin temel bileşenleri olan fiziksel varlık, BIM tabanlı dijital model ve IoT destekli gerçek zamanlı veri akışı detaylandırılmıştır. Bu bileşenlerin entegrasyonuyla elde edilen veriler, yapay zekâ ve makine öğrenimi algoritmalarıyla analiz edilmekte, enerji ve yapısal performans simülasyonlarıyla desteklenmektedir. Dijital ikizlerin tasarım, inşaat, işletme ve bakım aşamalarındaki faydaları arasında enerji verimliliği, tahmine dayalı bakım, güvenlik artışı ve sürdürülebilirlik hedeflerine katkı bulunmaktadır. Karşılaşılan veri entegrasyonu, maliyet ve uzman personel gibi zorluklara rağmen, şehir ölçeğinde dijital ikizler ve blockchain entegrasyonu gibi gelecek trendleri, bu teknolojinin yapı sektöründe devrim yaratma potansiyelini pekiştirmektedir.

Keywords
Dijital İkiz, Yapı Bilgi Modellemesi (BIM), Nesnelerin İnterneti (IoT), Akıllı Binalar, Yapısal Sağlık İzleme,

DIGITAL TWINS OF STRUCTURES: A COMPREHENSIVE OVERVIEW

Cevdet Emin EKINCI1 , Özgür AYDIN2

This study provides a comprehensive overview of the concept of digital twins of buildings, examining their growing importance in modern architecture and civil engineering. Digital twins are dynamic, virtual replicas of physical structures that are continuously updated with real-time sensor data. The introduction provides an in-depth definition of the concept, outlines its historical development, and explains its current significance in the construction industry. It details the core components of a digital twin: the physical asset, the BIM-based digital model, and the IoT-enabled real-time data flow. Data obtained through the integration of these components is analysed using artificial intelligence and machine learning algorithms, with energy and structural performance simulations providing further support. The benefits of digital twins in the design, construction, operation, and maintenance phases include enhanced energy efficiency, predictive maintenance, increased safety, and contributions to sustainability goals. Despite challenges such as data integration, cost, and the need for specialised personnel, future trends such as city-scale digital twins and blockchain integration reinforce the potential of this technology to transform the construction sector.

Keywords
Digital Twin, Building Information Modeling (BIM), Internet of Things (IoT), Smart Buildings, Structural Health Monitoring,

Details
   

Authors

Cevdet Emin EKINCI (1) (Corresponding Author)

Fırat University
cevdeteminekinci@hotmail.com | 0000-0002-7114-4832

Özgür AYDIN (2)

Bingöl Üniversitesi - Enformatik Bölüm Başkanlığı
iamozguraydin@gmail.com | 0000-0001-8130-277X

Supporting Institution

:

Project Number

:

Thanks

:
References
[1] Tao, F. and Zhang, M., (2017). Digital Twin technology framework and its application. Proceedings of the 2017 1st IEEE Conference on Industrial Cyber-Physical Systems (ICPS) (pp. 1-7). IEEE.

[2] Grieves, M. and Vickers, J., (2017). Digital Twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In F. K. Gozukara (Ed.), Transdisciplinary Perspectives on Complex Systems: New Findings and Approaches (pp. 85-113). Springer International Publishing.

[3] Fuller, A., Fan, Z., Day, C., and Barlow, C., (2020). Digital Twin: Enabling technologies, challenges and open research. IEEE Access, 8, 10895-10905.

[4] Madni, A.M., Madni, C.C., and Liu, S., (2019). Digital Twin: Applications, benefits, challenges, and future research directions. IEEE Access, 7, 79437-79450.

[5] Grieves, M., (2011). Virtually perfect: Driving innovation and profitability with digital twins. John Wiley & Sons.

[6] Boschert, S. and Heinemann, J., (2016). Digital Twin: The technology behind cyber physical systems. Springer.

[7] Cimino, C., Negri, E., and Fumagalli, F., (2017). Towards a more effective product lifecycle management using Industrial IoT and Digital Twin. Procedia CIRP, 62, 25-30.

[8] Autodesk. (n.d.). What is a digital twin? Retrieved from https://www.autodesk.com/solutions/digital-twin.

[9] Liu, J., Feng, Y., Zheng, C., and Zhang, J., (2021). Review of the application of digital twin in the building sector. Buildings, 11(8): 329.

[10] Mylonas, C.M., Louvaris, A.S., Mitoulis, S.A., and Psycharis, I.N., (2023). Digital twins for the seismic assessment of existing buildings. Engineering Structures, 276, 115340.

[11] Barlish, K. and Sullivan, T., (2012). How to measure the benefits of BIM – A case study approach. Journal of Building Information Modeling, 6(1): 1-17.

[12] Kaewunruen, S., Xu, T., and Susiki, T., (2019). Digital Twin for smart railway infrastructure management. Journal of Infrastructure Systems, 25(3), 04019018.

[13] Sepasgozar, S.M.E., (2021). A systematic review on applications of Digital Twin technology in smart cities. Applied Sciences, 11(11): 5344.

[14] Hocaoğlu, M.M., (2022). Yapı bilgi modelleme’den dijital ikiz’e doğru: Akıllı tesis yönetimini etkinleştirme (Yüksek Lisans Tezi), İstanbul: Mimar Sinan Güzel Sanatlar Üniversitesi.

[15] Yiğit, A.Y. ve Uysal, M., (2024). Automatic crack detection (...). Journal of Building Engineering, Article 109952. https://doi.org/10.1016/j.jobe.2024.109952.

[16] Özcan, O. ve Akay, S.S., (2022). Paşabağ bölgesi peri bacaları (...). In VIII. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS), Ankara.

[17] Kumaş, E. ve Erol, S., (2021). Endüstri 4.0’da dijital ikizler. PlanARCH.

[18] Ni, Z., Zhang, C., Karlsson, M., and Gong, S., (2023). Leveraging Deep Learning and Digital Twins for Energy Optimization of Historical Buildings. arXiv preprint arXiv:2301.06257. https://doi.org/10.48550/arXiv.2301.06257.

[19] Ritto, T.G. and Rochinha, F.A., (2020). Digital twin, physics-based model, and machine learning applied to damage detection in structures. arXiv preprint arXiv:2005.10964. https://doi.org/10.48550/arXiv.2005.10964.

[20] Boje, C., Guerriero, A., Revet, D., and Thomsen, J., (2017). The digital twin as a construction management tool. Procedia Engineering, 196, 1073-1081.

[21] Khajavi, S.H., Motlagh, N.H., Jaribion, A., Werner, L.C., and Holmström, J., (2020). Digital Twin: Vision, benefits, boundaries, and creation for buildings. Automation in Construction, 114, 103179. https://doi.org/10.1016/j.autcon.2020.103179.

[22] Angjeliu, G., Coronelli, D., and Cardani, G., (2022). Digital twin application in heritage facilities management: A review. Facilities, 40(13/14), 784–804. https://doi.org/10.1108/F-01-2021-0010.

[23] To, A., Liu, M., Muhammad, A., Shen, Z., and Xu, Y., (2021). Drone-based AI and 3D Reconstruction for Creating Digital Twins of Buildings. arXiv preprint arXiv:2107.00122. https://doi.org/10.48550/arXiv.2107.00122.

[24] Akanmu, S., Şahin, M., and Yılmaz, Y., (2021). Evaluation of the digital twin concept in the construction industry. PlanARCH – Design and Planning Research.

[25] PlanARCH. (2022). Yapım sektöründe dijital ikiz kavramının yapı yaşam döngüsü kapsamında değerlendirilmesi. PlanARCH.

[26] Çalış Duman, M., (2022). İşletmeler için yeni bir verimlilik teknolojisi: Dijital ikiz. Productivity Journal of Productivity, Özel Sayı: Dijital Dönüşüm ve Verimlilik.

[27] Türk Yapısal Çelik Derneği (TUCSA). (2023). İnşaat sektöründe dijitalleşme. TUCSA.

[28] Ceylan, E.Z., (2021). Dijital ikizler ve inşaat sektöründeki yeri. Yapı Bilgi Modelleme, 1(2): 53–61.

[29] Xu, J., Shu, X., Qiao, P., Li, S., and Xu, J., (2023). Developing a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model. Measurement, 217, 112955.

[30] Hoskere, V., Narazaki, Y., and Spencer, B.F., (2022). Digital twin techniques help in the assessment of structural conditions of buildings after earthquakes. ScienceDirect.

[31] Sensors Editorial Board. (2024). Approach towards the development of digital twin for structural infrastructure: A comprehensive review. Sensors, 25(1): 59.

[32] Hosamo, H.H., Nielsen, H.K., Alnmr, A.N., Svennevig, P.R., and Svidt, K., (2022). A review of the digital twin technology for fault detection in buildings. Frontiers in Built Environment, 8, 101319.

[33] Zhang, X., Liu, Y., Wang, A., and Chen, Z., (2024). Digital twins in construction: Architectures, applications, trends and challenges. Building Research & Information.

[34] Kwon, O., Lim, W., and Jung, Y., (2014). Building Information Modeling (BIM) and facility management (FM): A review of the literature. International Journal of Building Information Modeling, 3(2): 1-10.

[35] Azhar, S., (2011). Building Information Modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 11(3): 241-252.

[36] Li, L., Fu, Y., Wu, S., and Li, Q., (2021). BIM-GIS integration for digital twin of infrastructure: A review. ISPRS International Journal of Geo-Information, 10(5): 323.

[37] Patel, N., Khan, M.K., and Ahmad, S., (2020). IoT based digital twin architecture for smart manufacturing. Procedia Computer Science, 173, 262-270.

[38] Shahriar, H., Khan, M.A., and Rahman, M.M., (2021). A review of digital twin in smart cities: Technologies, applications, and challenges. Journal of Urban Management, 10(3): 296-309.

[39] Al-Hussein, M., Al-Hammadi, H., and Al-Hussein, M.A., (2020). Digital Twin for Construction: A comprehensive approach. CRC Press.

[40] Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., and Cheng, Y., (2018). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 95(3-4). 1735-1746.

[41] IBM. (n.d.). What is descriptive analytics? Retrieved from https://www.ibm.com/topics/descriptive-analytics.

[42] Davenport, T.H., (2014). Big data at work: Dispelling the myths, uncovering the opportunities. Harvard Business Review Press.

[43] Aggarwal, C.C., (2017). Outlier Analysis. Springer.

[44] Jardine, A.K.S., Lin, D., and Banjevic, D., (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7): 1483-1510.

[45] Davenport, T.H. and Harris, J.G., (2017). Competing on analytics: The new science of winning. Harvard Business Review Press.

[46] LeCun, Y., Bengio, Y., and Hinton, G., (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539.

[47] Aydın, Ö. ve Akın, E., (2024). Asenkron motorlarda kırık rotor çubuklarının erken teşhisi: transfer öğrenme yaklaşımlarının değerlendirilmesi. 19(4):42-52, DOI:10.12739/NWSA.2024.19.4.2A0200.

[48] Crawley, D.B., Hand, J.W., Kummert, M., and Griffith, B.T., (2008). Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 43(4): 661-673.

[49] Choudhary, R. (2012). Building performance simulation for design and operation. Earthscan.

[50] Guo, P., Du, B., and Chen, J., (2018). A review of crowd simulation models and their applications. Journal of Advanced Computational Intelligence and Intelligent Informatics, 22(3), 503-514.

[51] Eastman, C., Teicholz, P., Sacks, R., and Liston, K., (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.

[52] Wang, F. and Yuan, M., (2020). Digital Twin technology in intelligent construction: A review. Journal of Cleaner Production, 272, 122825.

[53] Sacks, R., Eastman, C., and Lee, G., (2018). BIM Handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.

[54] Aydın, Ö. ve Akın, E., (2021). Endüstri 4.0 tabanlı üretim sistemleri ve kestirimci bakım yaklaşımlarında digital ikiz uygulamalarının incelenmesi. Fırat Üniv. Müh. Bil. Dergisi, 33(2): 167-178, 2021.

[55] Patraucean, V., Scherer, S., and Leal, V., (2015). A survey of 3D scanning technologies and their applications in architecture, engineering, and construction. Automation in Construction, 59, 239-253.

[56] Remondino, F. and Fraser, C.S., (2009). Digital camera calibration methods: An overview. Photogrammetric Record, 24(125): 31-51.

[57] ISO. (2018). ISO 19650-1:2018 Organization and digitization of information about buildings and civil engineering works, including building information modelling (BIM) — Information management using building information modelling — Part 1: Concepts and principles. International Organization for Standardization.

[58] Demirkesen, S. and Ozorhon, B., (2022). Challenges and opportunities of digital twins in the construction industry. Journal of Construction Engineering and Management, 148(4): 04022019.

[59] Salloum, S., Dautov, R., Chen, X., and Zomaya, A.Y., (2020). Big data privacy: A survey. International Journal of Computer Systems Science & Engineering, 35(2): 65-88.

[60] Turk, S. and Serdar, M., (2020). A blockchain-based framework for digital twin in smart buildings. Automation in Construction, 114, 103178.

[61] Lam, J.C., Lu, R., and Yan, H., (2017). Virtual Singapore: A smart nation initiative. IEEE Pervasive Computing, 16(3): 85-88.

[62] VTT (VTT Technical Research Centre of Finland). (2020). Helsinki's digital twin as a heart for smart city development. Retrieved from https://www.vttresearch.com/en/news-and-insights/news/helsinkis-digital-twin-heart-smart-city-development.

[63] Bentley Systems. (n.d.). One Za'abeel Case Study. Retrieved from https://www.bentley.com/software/one-zaabeel.

[64] ICE (Institution of Civil Engineers). (n.d.). Crossrail's digital twin journey. Retrieved from https://www.ice.org.uk/news-and-insight/the-civil-engineer/june-2021/crossrail-digital-twin.

[65] Wang, F., Zhang, J., and Wang, Y., (2020). Digital Twin-driven smart building management system. Journal of Building Engineering, 32, 101784.