Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Constructing a digital twin for estimating the response and load of a piping system subjected to seismic and arbitrary loads

  • Dongchang Kim (School of Convergence & Fusion System Engineering, Major in Plant System Engineering, Kyungpook National University) ;
  • Gungyu Kim (School of Convergence & Fusion System Engineering, Major in Plant System Engineering, Kyungpook National University) ;
  • Shinyong Kwag (Department of Civil and Environmental Engineering, Hanbat National University) ;
  • Seunghyun Eem (School of Convergence & Fusion System Engineering, Major in Plant System Engineering, Kyungpook National University)
  • Received : 2022.08.02
  • Accepted : 2023.02.06
  • Published : 2023.03.25
⟨ Previous Next ⟩

Abstract

In recent years, technological developments have rapidly increased the number of complex structures and equipment in the industrial. Accordingly, the prognostics and health monitoring (PHM) technology has become significant. The safety assessment of industrial sites requires data obtained by installing a number of sensors in the structure. Therefore, digital twin technology, which forms the core of the Fourth Industrial Revolution, is attracting attention in the safety field. The research on digital twin technology of structures subjected to seismic loads has been conducted recently. Hence, this study proposes a digital twin system that estimates the responses and arbitrary load in real time by utilizing the minimum sensor to a pipe that receives a seismic and arbitrary load. To construct the digital twin system, a finite-element model was created considering the dynamic characteristics of the pipe system, and then updating the finite-element model. In addition, the calculation speed was improved using a finite-element model that applied the reduced-order modeling (ROM) technology to achieve real-time performance. The constructed digital twin system successfully and rapidly estimated the load and the point where the sensor was not attached. The accuracy of the constructed digital twin system was verified by comparing the response of the digital twin model with that derived by using the load estimated from the digital twin model as input in the finite-element model.

Keywords

Acknowledgement

This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (Ministry of Science and ICT) (No. 2020R1G1A1007570). This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20224000000150).

References

  1. Aivaliotis, P., Georgoulias, K. and Alexopoulos, K. (2019), "Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis", Proceedings of 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Valbonne Sophia-Antipolis, France, June.
  2. Cho, S.H. (2019), "FE model updating of tall buildings using output-only modal data", Transact. Korean Soc. Noise Vib. Eng., 29(1), 131-140. https://doi.org/10.5050/KSNVE.2019.29.1.131
  3. Cho, Y.B., Oh, S.I. and Kim, J.G. (2021), "Visualizing real-time digital twin of structural vibration System Using augmented reality", Korean Soc. Mech. Engrs., pp. 919-920, Jeju, Korea, April.
  4. Craig Jr, R.R. and Bampton, M.C. (1968), "Coupling of substructures for dynamic analyses", AIAA Journal, 6(7), 1313- 1319. https://doi.org/10.2514/3.4741
  5. Hwang, S.B., Jeong, S.J. and Yoon, S.W. (2020), "The design of manufacturing simulation modeling based on digital twin concept", J. Korea Soc. Simul., 29(2), 11-20. https://doi.org/10.9709/JKSS.2020.29.2.011
  6. Hyun, P.S., Wan, S.S., Young, H.P. and Lee, Y.J. (2017), "Building a new culture for quality management in the era of the Fourth Industrial Revolution", Total Quality Manage. Business Excell., 28(9-10), 934-945. https://doi.org/10.1080/14783363.2017.1310703
  7. Lagarias, J.C., Reeds, J.A., Wright, M.H. and Wright, P.E. (1998), "Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions", SIAM J. Optimiz., 9(1), 112-147. https://doi.org/10.1137/S1052623496303470
  8. Lee, I.S. (2021), "A study on geospatial information role in digital twin. Journal of the Korea Academia-Industrial Cooperation Society", J. Korea Academia-Indust. Cooper. Soc., 22(3), 268-278. https://doi.org/10.5762/KAIS.2021.22.3.268
  9. Levine, N.M. and Spencer Jr, B.F. (2022), "Post-earthquake building evaluation using UAVs: A BIM-based digital twin framework", Sensors, 22(3), 873. https://doi.org/10.3390/s22030873
  10. Li, Y., Zhang, Z., Wang, W. and Feng, X. (2022), "Rapid Estimation of Earthquake Fatalities in Mainland China Based on Physical Simulation and Empirical Statistics-A Case Study of the 2021 Yangbi Earthquake", Int. J. Environ. Res. Public Health, 19(11), 6820. https://doi.org/10.3390/ijerph19116820.
  11. Lin, K., Xu, Y.L., Lu, X., Guan, Z. and Li, J. (2021), "Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes", Automat. Constr., 123, 103547. https://doi.org/10.1016/j.autcon.2020.103547
  12. Lin, K., Xu, Y.L., Lu, X., Guan, Z. and Li, J. (2022), "Digital twinbased life-cycle seismic performance assessment of a long-span cable-stayed bridge", Bull. Earthq. Eng., 1-25. https://doi.org/10.21203/rs.3.rs-1775095/v1
  13. Moi, T., Cibicik, A. and Rolvag, T. (2020), "Digital twin based condition monitoring of a knuckle boom crane: An experimental study", Eng. Fail. Anal., 112, 104517. https://doi.org/10.1016/j.engfailanal.2020.104517
  14. Nam, Y.W., Lee, S.H., Lee, D.G., Im, S.J. and Noh, S.D. (2020), "Digital twin-based application for design of human-machine collaborative assembly production lines", J. Korean Inst. Ind. Eng., 46(1), 42-54. https://doi.org/10.7232/JKIIE.2020.46.1.042
  15. NEA (2018), Integrity of Structures, Systems and Components Under Design and Beyond Design Loads in Nuclear Power Plants: Final Report of the Project on Metallic Component Margins Under High Seismic Loads (MECOS), OECD Publishing, Paris.
  16. Newmark, N.M. (1959), "A method of computation for structural dynamics", J. Eng. Mech. Div., 85(3), 67-94. https://doi.org/10.1061/TACEAT.0008448
  17. Oh, S.I., Park, D.U., Baek, H.W., Kim, S.H., Lee, J.K. and Kim, J.G. (2020), "Virtual sensing system of structural vibration using digital twin", Trans. Korean Soc. Noise Vib. Eng., 30(2), 149-160. https://doi.org/10.5050/KSNVE.2020.30.2.149
  18. Rabiepour, M., Chase, J.G. and Zhou, C. (2022), "Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation". https://doi.org/10.21203/rs.3.rs-1772320/v1
  19. Rasheed, A., San, O. and Kvamsdal, T. (2020), "Digital twin: Values, challenges and enablers from a modeling perspective", IEEE Access, 8, 21980-22012. https://doi.org/10.1109/ACCESS.2020.2970143
  20. Setyogroho, B., Muslim, D., Sadewo, M.S., Muslim, G.O., Burhanuddin, S. and Hendarmawan, H. (2022), "Correlation between Building Damages and Losses with the Microzonation Map of Mataram-Case Study: Lombok Earthquake 2018, Indonesia". Sustainability, 14(4), 2028. https://doi.org/10.3390/su14042028
  21. Shin, S.H. and Park, M.C. (2020), "Implementation of digital twin based building control system using wireless sensor box", J. Korea Soc. Comput. Inform., 25(5), 57-64. https://doi.org/10.9708/jksci.2020.25.05.057
  22. Sorooshian, S. and Panigrahi, S. (2020), "Impacts of the 4th Industrial Revolution on Industries", Walailak J. Sci. Technol. (WJST), 17(8), 903-915. https://doi.org/10.48048/wjst.2020.7287
  23. Thompson, M.K. and Thompson, J.M. (2017), ANSYS mechanical APDL for finite element analysis, Butterworth-Heinemann, Kidlington, Oxfordshire, England.
  24. Tian, H., Liang, N., Zhao, P., Wang, X., Zhu, C., Zhang, S., et al. (2017), "Model updating approach for icing forecast of transmission lines by using particle swarm optimization", Proceedings of IOP Conference Series: Materials Science and Engineering, 207(1), pp. 012070. https://doi.org/10.1088/1757-899X/207/1/012070
  25. UNDRR (2020), The human cost of disasters: an overview of the last 20 years (2000-2019). Retrieved from: Human Cost of Disasters (2000-2019), UN Office for Disaster Risk Reduction, Geneva, Switzerland.
  26. Ye, C., Butler, L., Calka, B., Iangurazov, M., Lu, Q., Gregory, A. and Middleton, C. (2019), "A digital twin of bridges for structural health monitoring", Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, 1619-1626. https://doi.org/10.12783/shm2019/32287