Semi-active control of three-story benchmark structure using a wireless sensor network

Document Type : Original Article

Authors

• Hossein Fazaeli Hosseini Nejad
• abbas karamodin

Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

10.22067/jfcei.2023.79624.1195

Abstract

Control of structures in order to prevent serious damage to structures has become a prominent issue in earthquake engineering. In traditional structural control systems, wires were used to communicate between sensors, actuators, controllers and integrate the entire system as a single network. Using of wireless sensors for measurement, communication and control in structures has increased with the advancement of technology. The use of this technology has attracted the attention of engineers due to the reduction of installation costs and flexible system. In this article, the benchmark nonlinear three-story structure with magnetorheological damper (MR) equipped by wireless sensor network is investigated. The seismically excited building is combined with a wireless sensor network simulated by TOSSIM in the MATLAB simulator environment. For real network simulation, noise and wireless signals collected from a real structure have been used. In this network, a time division multiple access protocol (TDMA) is used. This protocol assigns a specific time to each sensor to send information. The benchmark structure is trained by a fuzzy-genetic controller. Then, the structure equipped with wire and wireless sensors was evaluated under the various earthquakes. Examining the evaluation criteria and time history charts shows the proper performance of the wireless system in reducing structural responses. At the same time, the wireless system has caused a slight increase in the average displacement and acceleration of floors compared to the wired mode.

Keywords

• Benchmark structure
• Wireless sensor
• nonlinear building
• magnetorheological damper
• Semi active control

---

References

1. -H. Loh et al., "Experimental verification of a wireless sensing and control system for structural control using MR dampers," Earthquake Engineering & Structural Dynamics, vol. 36, no. 10, pp. 1303-1328, 2007.
2. R. Farrar, G. Park, D. W. Allen, and M. D. Todd, "Sensor network paradigms for structural health monitoring," Structural Control and Health Monitoring, vol. 13, no. 1, pp. 210-225, 2006.
3. P. Lynch and K. J. Loh, "A summary review of wireless sensors and sensor networks for structural health monitoring," Shock and vibration digest, vol. 38, no. 2, pp. 91-130, 2006.
4. Wang, R. A. Swartz, J. P. Lynch, K. H. Law, K.-C. Lu, and C.-H. Loh, "Application of Decentralized Wireless Sensing and Control in Civil Structures," in US-Taiwan Workshop on Smart Structural Technology for Seismic Hazard Mitigation, Taipei, Taiwan, 2006.
5. P. Lynch and K. H. Law, "Decentralized control techniques for large-scale civil structural systems," in Proc. of the 20th Int. Modal Analysis Conference (IMAC XX), pp. 406-413, February 4, 2002.
6. Sun, B. Li, S. J. Dyke, C. Lu, and L. Linderman, "Benchmark problem in active structural control with wireless sensor network," Structural Control and Health Monitoring, vol. 23, no. 1, pp. 20-34, 2016.
7. E. Linderman, Smart wireless control of civil structures. University of Illinois at Urbana-Champaign, 2013.
8. Y. Fallah and T. Taghikhany, "Time‐delayed decentralized H2/LQG controller for cable‐stayed bridge under seismic loading," Structural Control and Health Monitoring, vol. 20, no. 3, pp. 354-372, 2013.
9. A. Swartz and J. P. Lynch, "Strategic network utilization in a wireless structural control system for seismically excited structures," Journal of structural engineering, vol. 135, no. 5, pp. 597-608, 2009.
10. Ohtori, R. Christenson, B. Spencer Jr, and S. Dyke, "Benchmark control problems for seismically excited nonlinear buildings," Journal of engineering mechanics, vol. 130, no. 4, pp. 366-385, 2004.
11. J. Dyke, F. Yi, S. Frech, and J. D. Carlson, "Application of Magnetorheological Dampers to Seismically Excited Structures, 361," in Proceedings of the 17th International Modal Analysis Conference, vol. 3727, p. 410, March 1999.
12. Spencer Jr, S. Dyke, M. Sain, and J. Carlson, "Phenomenological model for magnetorheological dampers," Journal of engineering mechanics, vol. 123, no. 3, pp. 230-238, 1997.
13. Fazaeli Hosseini Nejad and A. Karamodin, "Semi-active control of three-story benchmark structure using LQG algorithm with a fuzzy-genetic system," Journal of Structural and Construction Engineering, vol. 9, no. 5, pp. 107-123, 2022 .(in Persian)