Optimization of Tuned Mass Damper for Submerged Floating Tunnel with Frequency-Domain Dynamics Simulation
DOI:
https://doi.org/10.15377/2409-5761.2022.09.11Keywords:
Optimization, Genetic algorithm, Tuned mass damper, Discrete module beam, Submerged floating tunnelAbstract
In this study, the Tuned Mass Damper (TMD) optimization is carried out to reduce the resonant motion of Submerged Floating Tunnel (SFT) under wave excitations. The SFT dynamics is evaluated in frequency domain; a new approach to cost-effectively optimizing TMD parameters for a moored system is suggested. Discrete-Module-Beam (DMB) method is used to model the Tunnel; mooring lines are included as equivalent stiffness matrix through static-offset tests by the fully coupled model. Since the frequency-domain dynamics simulation model is employed, a significant reduction in optimization time can be achieved. TMD is installed at the tunnel’s mid-length to mitigate the lateral motion of the Tunnel and coupled with the Tunnel with translational and rotational springs and dampers. The optimization process for TMD parameters is performed through the Genetic Algorithm (GA). The GA generates the TMD mass and spring and damping coefficients. The dynamics simulation is performed under wave conditions and this process is repeated until the stopping criteria is satisfied. Results demonstrate that TMD with optimized parameters significantly reduces the lateral motion, especially near the system’s lowest lateral natural frequency. This frequency-domain optimization also works as intended with significantly decreased optimization time.
Downloads
References
Jin C, Kim M, Chung WC, Kwon D-S. Time-domain coupled analysis of curved floating bridge under wind and wave excitations. Ocean Syst Eng. 2020; 10: 399-414.
Jin C, Kim M-H. Tunnel-mooring-train coupled dynamic analysis for submerged floating tunnel under wave excitations. Appl Ocean Res. 2020; 94: 102008. https://doi.org/10.1016/j.apor.2019.102008 DOI: https://doi.org/10.1016/j.apor.2019.102008
Kim G-J, Kwak H-G, Jin C, Kang H, Chung W. Three-dimensional equivalent static analysis for design of submerged floating tunnel. Mar Struct. 2021; 80: 103080. https://doi.org/10.1016/j.marstruc.2021.103080 DOI: https://doi.org/10.1016/j.marstruc.2021.103080
Lee J, Jin C, Kim M. Dynamic response analysis of submerged floating tunnels by wave and seismic excitations. Ocean Syst Eng. 2017; 7: 1-19. https://doi.org/10.12989/ose.2017.7.1.001 DOI: https://doi.org/10.12989/ose.2017.7.1.001
Jin C, Kim M. The effect of key design parameters on the global performance of submerged floating tunnel under target wave and earthquake excitations. CMES-Comput Model Eng Sci. 2021; 128: 315-37. https://doi.org/10.32604/cmes.2021.016494 DOI: https://doi.org/10.32604/cmes.2021.016494
Jin C, Kim M-H. Time-domain hydro-elastic analysis of a SFT (submerged floating tunnel) with mooring lines under extreme wave and seismic excitations. Appl Sci. 2018; 8: 2386. https://doi.org/10.3390/app8122386 DOI: https://doi.org/10.3390/app8122386
Lu W, Ge F, Wang L, Wu X, Hong Y. On the slack phenomena and snap force in tethers of submerged floating tunnels under wave conditions. Mar Struct. 2011; 24: 358-76. https://doi.org/10.1016/j.marstruc.2011.05.003 DOI: https://doi.org/10.1016/j.marstruc.2011.05.003
Yanik A, Aldemir U, Bakioglu M. Seismic vibration control of three-dimensional structures with a simple approach. J Vibrat Eng Technol. 2016; 4: 235-47.
Wu Q, Zhao X, Zheng R, Minagawa K. High response performance of a tuned-mass damper for vibration suppression of offshore platform under earthquake loads. Shock Vibrat. 2016; 7383679: 1-11. https://doi.org/10.1155/2016/7383679 DOI: https://doi.org/10.1155/2016/7383679
Lee H, Wong S-H, Lee R-S. Response mitigation on the offshore floating platform system with tuned liquid column damper. Ocean Eng. 2006; 33: 1118-42. https://doi.org/10.1016/j.oceaneng.2005.06.008 DOI: https://doi.org/10.1016/j.oceaneng.2005.06.008
Wu B, Shi P, Wang Q, Guan X, Ou J. Performance of an offshore platform with MR dampers subjected to ice and earthquake. Struct Cont Health Monit. 2011; 18: 682-97. https://doi.org/10.1002/stc.398 DOI: https://doi.org/10.1002/stc.398
Zribi M, Almutairi N, Abdel-Rohman M, Terro M. Nonlinear and robust control schemes for offshore steel jacket platforms. Nonlinear Dyn. 2004; 35: 61-80. https://doi.org/10.1023/B:NODY.0000017499.49855.14 DOI: https://doi.org/10.1023/B:NODY.0000017499.49855.14
Jin C, Chung WC, Kwon D-S, Kim M. Optimization of tuned mass damper for seismic control of submerged floating tunnel. Eng Struct. 2021; 241: 112460. https://doi.org/10.1016/j.engstruct.2021.112460 DOI: https://doi.org/10.1016/j.engstruct.2021.112460
Den Hartog JP. Mechanical vibrations. New York: Dover Publications 1985.
Warburton G. Optimum absorber parameters for various combinations of response and excitation parameters. Earthquake Eng Struct Dyn. 1982; 10: 381-401. https://doi.org/10.1002/eqe.4290100304 DOI: https://doi.org/10.1002/eqe.4290100304
Bekdaş G, Nigdeli SM. Mass ratio factor for optimum tuned mass damper strategies. Int J Mechan Sci. 2013; 71: 68-84. https://doi.org/10.1016/j.ijmecsci.2013.03.014 DOI: https://doi.org/10.1016/j.ijmecsci.2013.03.014
Lin C-C, Wang J-F, Ueng J-M. Vibration control identification of seismically excited mdof structure-PTMD systems. J Sound Vibrat. 2001; 240: 87-115. https://doi.org/10.1006/jsvi.2000.3188 DOI: https://doi.org/10.1006/jsvi.2000.3188
Bekdaş G, Nigdeli SM. Estimating optimum parameters of tuned mass dampers using harmony search. Eng Struct. 2011; 33: 2716-23. https://doi.org/10.1016/j.engstruct.2011.05.024 DOI: https://doi.org/10.1016/j.engstruct.2011.05.024
Yucel M, Bekdaş G, Nigdeli SM, Sevgen S. Estimation of optimum tuned mass damper parameters via machine learning. J Build Eng. 2019; 26: 100847. https://doi.org/10.1016/j.jobe.2019.100847 DOI: https://doi.org/10.1016/j.jobe.2019.100847
Ma L, Li N, Guo Y, Wang X, Yang S, Huang M, et al. Learning to optimize: reference vector reinforcement learning adaption to constrained many-objective optimization of industrial copper burdening system. IEEE Transact Cybernet. 2021; (e-pub ahead of print). https://doi.org/10.1109/TCYB.2021.3086501 DOI: https://doi.org/10.1109/TCYB.2021.3086501
Ma L, Cheng S, Shi Y. Enhancing learning efficiency of brain-storm optimization via orthogonal learning design. IEEE Transact Syst Man, Cybernet Syst. 2020; 51: 6723-42. https://doi.org/10.1109/TSMC.2020.2963943 DOI: https://doi.org/10.1109/TSMC.2020.2963943
Awad A, Hawash A, Abdalhaq B. A Genetic Algorithm (GA) and Swarm Based Binary Decision Diagram (BDD) Reordering Optimizer Reinforced with Recent Operators. IEEE Transact Evolut Comput. 2022; (e-pub ahead of print). https://doi.org/10.1109/TEVC.2022.3170212 DOI: https://doi.org/10.1109/TEVC.2022.3170212
Alibrahim H, Ludwig SA. Hyperparameter optimization: comparing genetic algorithm against grid search and bayesian optimization. 2021 IEEE Congress Evolut Comput (CEC); 28 June 2021 - 01 July 2021; Kraków, Poland. IEEE: 2021; p. 1551-9. https://doi.org/10.1109/CEC45853.2021.9504761 DOI: https://doi.org/10.1109/CEC45853.2021.9504761
Sadek F, Mohraz B, Taylor AW, Chung RM. A method of estimating the parameters of tuned mass dampers for seismic applications. Earthquake Eng Struct Dyn. 1997; 26: 617-35. https://doi.org/10.1002/(SICI)1096-9845(199706)26:6<617::AID-EQE664>3.0.CO;2-Z DOI: https://doi.org/10.1002/(SICI)1096-9845(199706)26:6<617::AID-EQE664>3.0.CO;2-Z
Jin C, Kim S-J, Kim M. Vibration control of submerged floating tunnel in waves and earthquakes through tuned mass damper. Int J Naval Architect Ocean Eng. 2022; 14: 100483. https://doi.org/10.1016/j.ijnaoe.2022.100483 DOI: https://doi.org/10.1016/j.ijnaoe.2022.100483
Lu D, Fu S, Zhang X, Guo F, Gao Y. A method to estimate the hydroelastic behaviour of VLFS based on multi-rigid-body dynamics and beam bending. Ships Offshore Struct. 2016; 14: 354-62. https://doi.org/10.1080/17445302.2016.1186332 DOI: https://doi.org/10.1080/17445302.2016.1186332
Wei W, Fu S, Moan T, Lu Z, Deng S. A discrete-modules-based frequency domain hydroelasticity method for floating structures in inhomogeneous sea conditions. J Fluids Struct. 2017; 74: 321-39. https://doi.org/10.1016/j.jfluidstructs.2017.06.002 DOI: https://doi.org/10.1016/j.jfluidstructs.2017.06.002
Bakti FP, Jin C, Kim M-H. Practical approach of linear hydro-elasticity effect on vessel with forward speed in the frequency domain. J Fluids Struct. 2021; 101: 103204. https://doi.org/10.1016/j.jfluidstructs.2020.103204 DOI: https://doi.org/10.1016/j.jfluidstructs.2020.103204
Jin C, Bakti FP, Kim M. Multi-floater-mooring coupled time-domain hydro-elastic analysis in regular and irregular waves. Appl Ocean Res. 2020; 101: 102276. https://doi.org/10.1016/j.apor.2020.102276 DOI: https://doi.org/10.1016/j.apor.2020.102276
Orcina. OrcaFlex User Manual Version 11.0 d. 2020.
Jin C, Bakti FP, Kim M. Time-domain coupled dynamic simulation for SFT-mooring-train interaction in waves and earthquakes. Mar Struct. 2021; 75: 102883. https://doi.org/10.1016/j.marstruc.2020.102883 DOI: https://doi.org/10.1016/j.marstruc.2020.102883
Etedali S, Rakhshani H. Optimum design of tuned mass dampers using multi-objective cuckoo search for buildings under seismic excitations. Alexandria Eng J. 2018; 57: 3205-18. https://doi.org/10.1016/j.aej.2018.01.009 DOI: https://doi.org/10.1016/j.aej.2018.01.009
Marano GC, Greco R, Trentadue F, Chiaia B. Constrained reliability-based optimization of linear tuned mass dampers for seismic control. Int J Solids Struct. 2007; 44: 7370-88. https://doi.org/10.1016/j.ijsolstr.2007.04.012 DOI: https://doi.org/10.1016/j.ijsolstr.2007.04.012
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Chungkuk Jin, Sung-Jae Kim, MooHyun Kim
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All the published articles are licensed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
