Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Application of PSO Technique for Seismic Control of Tall Building

Authors: A. Shayeghi, H. Shayeghi, H. Eimani Kalasar


In recent years, tuned mass damper (TMD) control systems for civil engineering structures have attracted considerable attention. This paper emphasizes on the application of particle swarm application (PSO) to design and optimize the parameters of the TMD control scheme for achieving the best results in the reduction of the building response under earthquake excitations. The Integral of the Time multiplied Absolute value of the Error (ITAE) based on relative displacement of all floors in the building is taken as a performance index of the optimization criterion. The problem of robustly TMD controller design is formatted as an optimization problem based on the ITAE performance index to be solved using the PSO technique which has a story ability to find the most optimistic results. An 11- story realistic building, located in the city of Rasht, Iran is considered as a test system to demonstrate effectiveness of the proposed method. The results analysis through the time-domain simulation and some performance indices reveals that the designed PSO based TMD controller has an excellent capability in reduction of the seismically excited example building.

Keywords: TMD, Particle Swarm Optimization, Tall Buildings, Structural Dynamics.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1359


[1] T.K. Datta, Control of dynamic response of structures. Proc. of The Indo-US Symposium on Emerging Trends in Vibration and Noise Engineering, 1996, pp.18-20.
[2] R. Randa, T.T. Soong, Parametric study and simplified design of mass dampers. Engineering Structures, Vol. 20, No. 3, 1998, pp. 193 -204.
[3] M. Aldawod, B. Samali, F. Naghady, CS. Kwok Kenny, Active control of along wind response of tall building using a fuzzy controller, Engineering Structures, Vol. 23, 2001, pp. 1512 - 1522.
[4] TT. Soong, R. Hanson, Recent developments in active and hybrid control research in US. Proc. of the Int. Workshop on Structural Control, 1993, pp.483-490
[5] S. Sarbjeet, TK. Datt, Open closed loop linear control of building frames under seismic excitation, Journal of Structure Engineering, ASCE, Vol. 124, No. 1, 1998, pp. 43-51.
[6] W. M. Jenkins, Towards structural optimization via the genetic algorithm, Engineering Structures, Vol. 19, No. 4, 1997, pp. 302-308.
[7] A. Kareem, S. Kline, Performance of multiple tuned mass dampers under random loading, Journal of Structure Engineering, ASCE, Vol. 121, No. 2, 1995, pp. 348-361.
[8] F. Sadek, B. Mohraj, A.W. Taylor, R.M. Chung, A method of estimating the parameters of tuned mass dampers for seismic application. Earthquake Engineering and Structure Dynamics, Vol. 26, 1997, pp. 617-635.
[9] J.N. Yang, Recent advances in active control of civil engineering structures. Probab. Engineering Mechanics, Vol. 3, No. 4, 1988.
[10] B. Samali, M. Al-Dawod, Performance of a five-storey benchmark model using an active tuned mass damper and a fuzzy controller. Int. Journal of Structure Engineering, Vol. 25, 2003, pp. 1597-1610.
[11] QP. Ha, Active structural control using dynamic out put feed back sliding mode. Proc. of the 2001 Australian Conference on Robotics and Automation, Sydney, 2001, pp. 14-15.
[12] MD. Symans, W. Kelly, Fuzzy logic control of bridge structures using intelligent semi-active seismic isolation systems, Earthquake Engineering and Structure Dynamics, Vol. 28, 1999, pp. 37-60.
[13] S. Sarbjeet, TK. Datta, Nonlinear sliding mode control of seismic response of building frames, Journal of Engineering Mechanics, ASCE, Vol. 126, No. 6, 2000, pp. 340-347.
[14] M.N. Hadi, Y. Arfiadi, Optimum design of absorber for MDOF structure, Journal of Structure Engineering,, Vol. 124, No. 11, 1999, pp. 1272-1279.
[15] S. Pourzeynali, H.H. Lavasani, A.H. Modarayi, Active control of high rise building structures using fuzzy logic and genetic, Journal of Structure Engineering, Vol. 29, 2007, pp. 346-357.
[16] M.N. Hadi, Y.Arfiadi, Optimum direct (static) output feedback controller using real coded genetic algorithm, Computer and Structures, Vol. 79, 2001, pp. 1625-34.
[17] H. Shayeghi, A. Jalili, H. A. Shayanfar, Multi-stage fuzzy load frequency control using PSO, Energy Conversion and Management, Vol. 49, 2008, pp. 2570-80.
[18] J. Kennedy, R. Eberhart, Y. Shi, Swarm intelligence, Morgan Kaufmann Publishers, San Francisco, 2001.
[19] M. Clerc, J. Kennedy, The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE Trans. Evolutionary Computation, 2002, 6 (1): 58-73.
[20] S. H. Zahiria, S. A. Seyedin, Swarm intelligence based classifiers, J. Franklin Institute, 2007, 344: 362-76.
[21] R.W. Clough, J. Penzien, Dynamics of structures, 2nd ed. Mc Graw- Hill; New York: 1993.
[22] K. Kanai, An empirical formula for the spectrum of strong earthquake motions, Bulletin Earthquake Research Institute, University of Tokyo, 1961, 39: 85-95.
[23], MATLAB software, 2009.
[24] H. Shayeghi, H. Eimani, H.A. Shayanfar, A. Shayeghi, PSO based TMD design for vibration control of tall building structures , Proc. of the Int. Conf. on Artificial Intelligence (ICAI 09), Las Vegas, U.S.A., 2009.