Acceleration Response-Based Adaptive Strategy for Vibration Control and Location Optimization of Magnetorheological Dampers in Multistoried Structures
Publication: Practice Periodical on Structural Design and Construction
Volume 27, Issue 1
Abstract
Optimization and deployment of control systems with multiple control devices incorporated into a structure is a daunting task. The optimum location of the control device is intrinsically connected to the design parameters of the control algorithm. The positioning technique should be effectively embedded in the control algorithm for efficient structural control employing semiactive control devices. This paper presents an acceleration-response-based adaptive (ARBA) algorithm entrenched with the device placement optimization algorithm. The summation of the overall acceleration response of each floor of the structure is considered as the performance criterion of the proposed control strategy. The versatility of this method stems from the fact that the MR damper control and position design algorithm can be developed and designed to meet the performance needs of the system. Only a 5-story steel frame is deliberated since the numerical simulation is followed with experimental verification of control systems on the shake table. From the results of the numerical simulation, it was concluded that the positions of MR dampers are closely linked to the output goal of the control strategy selected by the designer. Furthermore, the ARBA strategy’s configuration and corresponding structural control outperformed the benchmark controller. For various sets of ground movements, the numerical findings were experimentally tested on a shake table and compared to the corresponding passive control strategies. The findings showed that ARBA strategies outperformed uncontrolled and passive control strategies in mitigating the acceleration response of the structure and thereby enhancing the serviceability performance of the structure during dynamic excitations.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
•
MATLAB/SIMULINK Codes
•
Earthquake Data
Acknowledgments
The authors would like to thank the Indian Institute of Technology Roorkee’s Earthquake Engineering Department and the National Institute of Technology Srinagar for their support and facilities. On behalf of all the authors, the corresponding author states that there is no conflict of interest.
References
Bhaiya, V., S. D. Bharti, M. K. Shrimali, and T. K. Datta. 2018. “Genetic algorithm based optimum semi-active control of building frames using limited number of magneto-rheological dampers and sensors.” J. Dyn. Syst. Meas. Control Trans. ASME 140 (10): 101013. https://doi.org/10.1115/1.4040213.
Das, D., T. K. Datta, and A. Madan. 2012. “Semiactive fuzzy control of the seismic response of building frames with MR dampers.” Earthquake Eng. Struct. Dyn. 41 (1): 99–118. https://doi.org/10.1002/eqe.1120.
Dyke, S. J., B. F. Spencer, P. Quast, M. K. Sain, D. C. Kaspari, and T. T. Soong. 1996a. “Acceleration feedback control of MDOF structures.” J. Eng. Mech. 122 (9): 907–918. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:9(907).
Dyke, S. J., B. F. Spencer, M. K. Sain, and J. D. Carlson. 1996b. “Modeling and control of magnetorheological dampers for seismic response reduction.” Smart Mater. Struct. 5 (5): 565. https://doi.org/10.1088/0964-1726/7/5/012.
Dyke, S. J., B. F. Spencer, M. K. Sain, and J. D. Carlson. 1998. “An experimental study of MR dampers for seismic protection.” Smart Mater. Struct. 7 (5): 693. https://doi.org/10.1088/0964-1726/7/5/012.
Fang, J. Q., Q. S. Li, and A. P. Jeary. 2003. “Modified independent modal space control of m.d.o.f systems.” J. Sound Vib. 261 (3): 421–441. https://doi.org/10.1016/S0022-460X(02)01085-4.
Guan, X. C., P. F. Guo, and J. P. Ou. 2011. “Modeling and analyzing of hysteresis behavior of magneto rheological dampers.” Proc. Eng. 14 (Jan): 2756–2764. https://doi.org/10.1016/j.proeng.2011.07.347.
Hashemi, S. M. A., H. H. Kazemi, and A. Karamodin. 2016. “Localized genetically optimized wavelet neural network for semi-active control of buildings subjected to earthquake.” Struct. Control Health Monit. 23 (8): 1074–1087. https://doi.org/10.1002/stc.1823.
Ibidapo-Obe, O. 1985. “Optimal actuators placements for the active control of flexible structures.” J. Math. Anal. Appl. 105 (1): 12–25. https://doi.org/10.1016/0022-247X(85)90094-0.
Laflamme, S., J. J. E. Slotine, and J. J. Connor. 2011. “Wavelet network for semi-active control.” J. Eng. Mech. 137 (7): 462–474. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000248.
Lindberg, R. E., and R. W. Longman. 1984. “On the number and placement of actuators for independent modal space control.” J. Guidance Control Dyn. 7 (2): 215–221. https://doi.org/10.2514/3.56366.
Lopez Garcia, D., and T. T. Soong. 2002 “Efficiency of a simple approach to damper allocation in MDOF structures.” J. Struct. Control 9 (1): 19–30. https://doi.org/10.1002/stc.3.
Sapiński, B., and J. Filuś. 2003. “Analysis of parametric models of MR linear damper.” J. Theor. Appl. Mech. 41 (2): 215–240.
Simpson, M. T., and C. H. Hansen. 1996. “Use of genetic algorithms to optimize vibration actuator placement for active control of harmonic interior noise in a cylinder with floor structure.” Noise Control Eng. J. 44 (4): 169–184.
Singh, M. P., and L. M. Moreschi. 2002. “Optimal placement of dampers for passive response control.” Earthquake Eng. Struct. Dyn. 31 (4): 955–976. https://doi.org/10.1002/eqe.132.
Takewaki, I. 1997. “Optimal damper placement for minimum transfer functions.” Earthquake Eng. Struct. Dyn. 26 (11): 1113–1124. https://doi.org/10.1002/(SICI)1096-9845(199711)26:11%3C1113::AID-EQE696%3E3.0.CO;2-X.
Wang, D. H., and W. H. Liao. 2005. “Modeling and control of magnetorheological fluid dampers using neural networks.” Smart Mater. Struct. 14 (1): 111. https://doi.org/10.1088/0964-1726/14/1/011/meta.
Wani, Z. R., and M. Tantray. 2021. “Study on integrated response-based adaptive strategies for control and placement optimization of multiple magneto-rheological dampers-controlled structure under seismic excitations.” J. Vib. Control 2021 (1): 10775463211000484. https://doi.org/10.1177/10775463211000483.
Wani, Z. R., M. Tantray, and E. N. Farsangi. 2021. “Shaking table tests and numerical investigations of a novel response-based adaptive control strategy for multi-story structures with magnetorheological dampers.” J. Build. Eng. 44 (Dec): 102685. https://doi.org/10.1016/j.jobe.2021.102685.
Wu, B., J. P. Ou, and T. T. Soong. 1997. “Optimal placement of energy dissipation devices for three-dimensional structures.” Eng. Struct. 19 (2): 113–125. https://doi.org/10.1016/S0141-0296(96)00034-X.
Yadav, A. 2009. “Nyquist-Shannon sampling theorem.” In Digital communication. New Delhi, India: University Science Press.
Yan, G., and L. L. Zhou. 2006. “Integrated fuzzy logic and genetic algorithms for multi-objective control of structures using MR dampers.” J. Sound Vib. 296 (1–2): 368–382. https://doi.org/10.1016/j.jsv.2006.03.011.
Yang, G., B. F. Spencer, H. J. Jung, and J. D. Carlson. 2002. “Phenomenological model of large-scale MR damper systems.” Adv. Build. Technol. 2002 (Jan): 545–552. https://doi.org/10.1016/B978-008044100-9/50070-X.
Yang, G., B. F. Spencer, H. J. Jung, and J. D. Carlson. 2004. “Dynamic modeling of large-scale magnetorheological damper systems for civil engineering applications.” J. Eng. Mech. 130 (9): 1107–1114. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:9(1107).
Yang, J. N., J. C. Wu, A. M. Reinhorn, and M. Riley. 1996. “Control of sliding-isolated buildings using sliding-mode control.” J. Struct. Eng. 122 (2): 179–186. https://doi.org/10.1061/(ASCE)0733-9445(1996)122:2(179).
Yoshida, O., and S. J. Dyke. 2005. “Response control of full-scale irregular buildings using magnetorheological dampers.” J. Struct. Eng. 131 (5): 734–742. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:5(734).
Zhang, R. H., and T. T. Soong. 1992. “Seismic design of viscoelastic dampers for structural applications.” J. Struct. Eng. 118 (5): 1375–1392. https://doi.org/10.1061/(ASCE)0733-9445(1992)118:5(1375).
Information & Authors
Information
Published In
Practice Periodical on Structural Design and Construction
Volume 27 • Issue 1 • February 2022
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Apr 9, 2021
Accepted: Sep 1, 2021
Published online: Oct 12, 2021
Published in print: Feb 1, 2022
Discussion open until: Mar 12, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Sajad Javadinasab Hormozabad, Nathan Jacobs, Mariantonieta Gutierrez Soto, Reinforcement Learning for Integrated Structural Control and Health Monitoring, Practice Periodical on Structural Design and Construction, 10.1061/PPSCFX.SCENG-1455, 29, 3, (2024).
- Manzoor Tantray, A Case Study of Magnetorheological Damper Models with Experimental Confirmation, Practice Periodical on Structural Design and Construction, 10.1061/PPSCFX.SCENG-1288, 28, 3, (2023).
- Zubair Rashid Wani, Model-based adaptive control system for magneto-rheological damper-controlled structures, Seismic Evaluation, Damage, and Mitigation in Structures, 10.1016/B978-0-323-88530-0.00011-8, (381-398), (2023).
- Hoa Thi Truong, Xuan Bao Nguyen, Cuong Mai Bui, Singularity-Free Adaptive Controller for Uncertain Hysteresis Suspension Using Magnetorheological Elastomer-Based Absorber, Shock and Vibration, 10.1155/2022/2007022, 2022, (1-17), (2022).
- Sameer J. Suthar, Veeranagouda B. Patil, Radhey Shyam Jangid, Optimization of MR Dampers for Wind-Excited Benchmark Tall Building, Practice Periodical on Structural Design and Construction, 10.1061/(ASCE)SC.1943-5576.0000733, 27, 4, (2022).