Semi-active Control of an Offshore Platform Using Updated Numerical Model and Experimental Laser Doppler Vibrometer Data

Document Type : Original Research Article

Authors

1 Graduated MS Student, Department of Structural Engineering, University of Tabriz, 29 Bahman Blvd., Tabriz, Iran. E-mail: s.mohammadyzadeh@gmail.com

2 Associated Professor, Department of Water Resources Engineering, University of Tabriz, 29 Bahman Blvd., Tabriz, Iran, (corresponding author), E-mail: a.mojtahed@tabrizu.ac.ir

3 Associated Professor, Department of Structural Engineering, University of Tabriz, 29 Bahman Blvd., Tabriz, Iran, E-mail: jkatebi@tabrizu.ac.ir

4 Postdoctoral Research Assistant, Department of Water Resources Engineering, University of Tabriz, 29 Bahman Blvd., Tabriz, Iran. E-mail: h.hokmabady@tabrizu.ac.ir

5 Assistant Professor, Faculty of civil engineering and architecture, Shahid Chamran University of Ahvaz

Abstract

In this study, a semi-active control system is assessed over a numerically updated model to achieve the most promising numerical results and to keep the performance of the numerical model as close to the prototype behavior as possible. Numerical model updating is performed based on the experimentally captured non-contact sensing data considering uncertainties. The elastic modulus of the jacket elements is specified as the calibration parameter. A mathematical function -optimized using Particle Swarm Optimization (PSO) algorithm- is also employed to reduce the structural uncertainties of the numerical model. Eight MR dampers both in X and Y directions are located in a platform numerical model. Modified Newmark-Beta method besides optimized parameters of instantaneous optimal control algorithm are utilized to predict the response of the system. The performance of the updated model is evaluated under environmental loads. The results indicate the importance of model uncertainty reduction in improving the accuracy of simulation results in a complex system. Based on the results using a non-contact sensing technology such as Laser Doppler Vibrometer (LDV) system is strongly recommended in practical cases due to great sensitivity capabilities and also no direct contact requirements.

Keywords


  1. Kandasamya R., Cuia F., Townsend N., Foo C.C., Guo J., Shenoi K., Xiong Y. (2016). A review of vibration control methods for marine offshore structures. Ocean Engineering. 127: 279–297.
  2. Som A., Das D. (2018). Seismic vibration control of offshore jacket platforms using decentralized sliding mode algorithm. Ocean Engineering. 152:377–390.
  3. Fisco N.R., Adeli H. (2011). Smart structures: Part I - Active and semiactive control, Scientia Iranica, 18(3): 275-284.
  4. Housner G.W., Bergman L.A., Gaughey T.K., Chassiakos A.G., Claus R.O., Masri S.F., Skelton R.E., Soong T.T., Spencer B.F., and Yao J. (1997). Structural control: past, present, and future, Engineering Mechanics. 123(9): 897-971.
  5. Hokmabady H., Mohammadyzadeh S., Mojtahedi A., (2019). Suppressing structural vibration of a jacket-type platform employing a novel Magneto-Rheological Tuned Liquid Column Gas Damper (MR-TLCGD). Ocean Engineering. 180:60–70.
  6. Chen D., Huang S., Huang C., Ouyang F. (2021). Passive control of jacket–type offshore wind turbine vibrations by single and multiple tuned mass dampers, Marine Structures, 77:102938.
  7. Ghadimi, B., Taghikhani T. (2021). Dynamic response assessment of an offshore jacket platform with semi-active fuzzy-based controller: A case study, Ocean Engineering, 238:109747.
  8. Dyke S.J., Spencer B.F., Sain M.K., Carlson J.D. (1997). Phenomenological model for magnetorheological dampers, Engineering Mechanics, 123(3):230-238.
  9. Yoshioka H., Ramallo J.C., Spencer B.F. (2002). Smart base isolation strategies employing magnetorheological dampers, Engineering Mechanics. 128(5): 540-551.
  10. Katebi J., MohammadyZadeh S. (2016). Time delay study for semi-active control of coupled adjacent structures using MR damper. Structural Engineering and Mechanics. 58(6):1127-1143.
  11. Sarrafan A., Zareh S.H., Khayyat A.A., Zabihollah A. (2012). Neuro-fuzzy control strategy for an offshore steel jacket platform subjected to wave-induced forces using magnetorheological dampers. Mechanical Science Technology. 26(4): 1179–1196.
  12. Chunyan J., Menglu C., Shanshan L. (2010). Vibration control of jacket platforms with magnetorheological damper and experimental validation. High Technology Letters, 16(2):189–193.
  13. Bitner-Gregersen E.M., Ewans K.C., Johnson M.C. (2014). Some uncertainties associated with wind and wave description and their importance for engineering applications. Ocean Engineering. 86:11–25.
  14. Negro V., López-Gutiérrez J., Esteban M.D., Matutano C. (2014). Uncertainties in the design of support structures and foundations for offshore wind turbines, Renewable Energy. 63:125–132.
  15. Hokmabady H., Mojtahedi A., Lotfollahi Yaghin M.A., Farajpour I. (2019). Calibration and Bias-Correction of the Steel Offshore Jacket Platform Models Using Experimental Data, Waterway, Port Coastal and Ocean Engineering. 145(3):04019008.
  16. Wu J.R., Li Q.S. (2006). Structural parameter identification and damage detection for a steel structure using a two-stage finite element model updating method, Constructional Steel Research. 62: 231–239.
  17. Hokmabady H., Mohammadyzadeh S., Mojtahedi A. (2020). Uncertainty analysis of an offshore jacket-type platform using a developed numerical model updating technique, Ocean Engineering. 211:107608.
  18. Mojtahedi A., Hokmabady H., Yaghubzadeh A., Mohammadyzadeh S. (2020). An improved model reduction-modal based method for model updating and health monitoring of an offshore jacket-type platform, Ocean Engineering. 209:107495.
  19. Christie M.A., Glimm J., Grove J.W., Higdon D.M., Sharp D.H., Wood-Schultz M.M. (2005). Error analysis and simulations of complex phenomena. Los Alamos Science, 29:6–25.
  20. Joghataie A., Mohebbi M. (2012). Optimal control of nonlinear frames by Newmark and distributed genetic algorithms. Tall and Special Buildings. 21(2):77-95.
  21. Wilson J.F. (2003). Dynamics of offshore structures, John Wiley & Sons Inc. Hoboken, New Jersey, USA. pp. 28-29.
  22. Dastan M.A., Mohajernassab S., Seif M.S., Tabeshpour M.R., Mehdigholi H. (2014). Assessment of offshore structures under extreme wave conditions by Modified Endurance Wave Analysis, Marine Structures. 39:50-69.
  23. Chakrabarti S.K. (2005). Handbook of offshore engineering. Elsevier, Plainfield, Illinois, USA, pp. 91-93.