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http://dx.doi.org/10.12989/sem.2017.63.2.147

Proposing optimum parameters of TMDs using GSA and PSO algorithms for drift reduction and uniformity  

Mirzai, Nadia M. (School of Civil Engineering, College of Engineering, the University of Tehran)
Zahrai, Seyed Mehdi (Center of Excellence for Engineering and Management of Civil Infrastructures, School of Civil Engineering, College of Engineering, the University of Tehran)
Bozorgi, Fatemeh (School of Civil Engineering, Iran University of Science and Technology)
Publication Information
Structural Engineering and Mechanics / v.63, no.2, 2017 , pp. 147-160 More about this Journal
Abstract
In this study, the optimum parameters of Tuned Mass Dampers (TMDs) are proposed using Gravity Search Algorithm (GSA) and Particle Swarm Optimization (PSO) to reduce the responses of the structures. A MATLAB program is developed to apply the new approach to the benchmark 10 and 40-story structures. The obtained results are compared to those of other optimization methods used in the literature to verify the developed code. To show the efficiency and accuracy of the proposed methods, nine far-field and near-field worldwide earthquakes are applied to the structures. The results reveal that in the 40-story structure, GSA algorithm can reduce the Relative Displacement (RD) and Absolute Acceleration (AA) up to 43% and 21%, respectively while the PSO decreases them by 50% and 25%, respectively. In contrast, both GSA and PSO algorithms reduce the RD and AA about 29% and 21% for the 10-story structure. Furthermore, using the proposed approach the required TMD parameters reduce by 47% and 63% in the 40 and 10-story buildings in comparison with the referenced ones. Result evaluation and related comparison indicate that these methods are more effective even by using smaller TMD parameters resulting in the reduction of acting force from TMD, having smaller stiffness and damping factors while being more cost effective due to its decreased parameters. In other words, the TMD with optimum parameters can play a positive role in both tall and typical structures.
Keywords
GSA algorithm; PSO algorithm; TMD; optimization; vibration reduction;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 Adarsh, S. and Janga Reddy, M. (2015), "Gravitational search algorithm for probabilistic design of HBPS canals", ISH J. Hydraulic Eng., 21(3), 290-297.   DOI
2 Ahmadi, A., Karray, F. and Kamel, M.S. (2010), "Flocking based approach for data clustering", Natural Comput., 9(3), 767-791.   DOI
3 Clough, R.W. and Penzien, J. (1993), Dynamics of Structures, Mcgraw-Hill, New York.
4 Daei, M., Sokhangou, F. and Hejazi, M. (2016), A new intelligent algorithm for damage detection in frames via modal properties, Taylor and Francis Ltd.
5 Desu, N.B., Deb, S.K. and Dutta, A. (2006), "Coupled tuned mass dampers for control of coupled vibrations in asymmetric buildings", Struct. Control Hlth. Monit., 13(5), 897-916.   DOI
6 Duman, S., Guvenc, U., Sonmez, Y. and Yorukeren, N. (2012), "Optimal power flow using gravitational search algorithm", Energy Convers. Manage., 59, 86-95.   DOI
7 Farshidianfar, A. and Soheili, S. (2013), "Ant colony optimization of tuned mass dampers for earthquake oscillations of high-rise structures including soil-structure interaction", Soil Dyn. Earthq. Eng., 51, 14-22.   DOI
8 Frahm, H. (1911), Device for damping of bodies, US Patent. NO: 989,958
9 Ghashochi-Bargh, H. and Sadr, M. (2013), "PSO algorithm for fundamental frequency optimization of fiber metal laminated panels", Struct. Eng. Mech., 47(5), 713-727.   DOI
10 Hadi, M.N.S. and Arfiadi, Y. (1998), "Optimum design of absorber for MDOF structures", J. Struct. Eng., 124(11), 1272-1280.   DOI
11 Kaveh, A., Bakhshpoori, T. and Afshari, E. (2015), "Hybrid PSO and SSO algorithm for truss layout and size optimization considering dynamic constraints", Struct. Eng. Mech., 54(3), 453-474.   DOI
12 Kaveh, A. and Talatahari, S. (2012), "A hybrid CSS and PSO algorithm for optimal design of structures", Struct. Eng. Mech., 42(6), 783-797.   DOI
13 Kennedy, J. and Eberhart, R. (1995), "Particle swarm optimization", IEEE International Conference on Neural Networks-Conference Proceedings.
14 Kennedy, J., Eberhart, R.C. and Shi, Y. (2001), Swarm Intelligence, San Francisco, Morgan Kaufmann Publishers
15 Khajehzadeh, M., Taha, M.R., El-Shafie, A. and Eslami, M. (2012), "Optimization of shallow foundation using gravitational search algorithm", 4(9), 1124-1130.
16 Khajehzadeh, M., Taha, M.R. and Eslami, M. (2013), "Efficient gravitational search algorithm for optimum design of retaining walls", 45(1), 111-127.   DOI
17 Precup, R.E., David, R.C., Petriu, E.M., Preitl, S. and Radac, M.B. (2012), "Novel adaptive gravitational search algorithm for fuzzy controlled servo systems", IEEE Trans. Indust. Inform., 8(4), 791-800.   DOI
18 Khatibinia, M. and Sadegh Naseralavi, S. (2014), "Truss optimization on shape and sizing with frequency constraints based on orthogonal multi-gravitational search algorithm", 333(24), 6349-6369.   DOI
19 Lee, C.L., Chen, Y.T., Chung, L.L. and Wang, Y.P. (2006), "Optimal design theories and applications of tuned mass dampers", Eng. Struct., 28(1), 43-53.   DOI
20 Pourzeynali, S., Lavasani, H.H. and Modarayi, A.H. (2007), "Active control of high rise building structures using fuzzy logic and genetic algorithms", Eng. Struct., 29(3), 346-357.   DOI
21 Ramezani, M., Bathaei, A. and Zahrai, S.M. (2017), "Designing fuzzy systems for optimal parameters of TMDs to reduce seismic response of tall buildings", Smart Syst. Struct., 20(1), 61-74.
22 Randall, S., Halsted, D. and Taylor, D.L. (1981), "Optimum vibration absorbers for linear damped systems", J. Mech. Des., ASME, 103(4), 908-913.   DOI
23 Rashedi, E., Nezamabadi-pour, H. and Saryazdi, S. (2009), "GSA: A gravitational search algorithm", Inform. Sci., 179(13), 2232-2248.   DOI
24 Rashedi, E., Nezamabadi-Pour, H. and Saryazdi, S. (2011), "Filter modeling using gravitational search algorithm", Eng. Appl. Artificial Intel., 24(1), 117-122.   DOI
25 Sabri, N.M., Puteh, M. and Mahmood, M.R. (2013), "A review of gravitational search algorithm", 5(3), 1-39.
26 Thompson, A.G. (1981), "Optimum tuning and damping of a dynamic vibration absorber applied to a force excited and damped primary system", J. Sound Vib., 77(3), 403-415.   DOI
27 Sadek, F., Mohraz, B., Taylor, A.W. and Chung, R.M. (1997), "A method of estimating the parameters of tuned mass dampers for seismic applications", Earthq. Eng. Struct. D., 26(6), 617-635.   DOI
28 Saravanan, M., Slochanal, S.M.R., Venkatesh, P. and Abraham, J.P.S. (2007), "Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability", Electric Pow. Syst. Res., 77(3), 276-283.   DOI
29 Shariatmadar, H. and Razavi, H.M. (2014), "Seismic control response of structures using an ATMD with fuzzy logic controller and PSO method", Struct. Eng. Mech., 51(4), 547-564.   DOI
30 Singh, M.P., Singh, S. and Moreschi, L.M. (2002), "Tuned mass dampers for response control of torsional buildings", Earthq. Eng. Struct. D., 31(4), 749-769.   DOI
31 Tsai, H.C. and Lin, G.C. (1993), "Optimum tuned-mass dampers for minimizing steady-state response of support-excited and damped systems", Earthq. Eng. Struct. D., 22(11), 957-973.   DOI
32 Warburton, G.B. (1982), "Optimum absorber parameters for various combinations of response and excitation parameters", Earthq. Eng. Struct. D., 10(3), 381-401.   DOI
33 Warburton, G.B. and Ayorinde, E.O. (1980), "Optimum absorber parameters for simple systems", Earthq. Eng. Struct. D., 8(3), 197-217.   DOI
34 Yoshida, H., Kawata, K., Fukuyama, Y., Takayama, S. and Nakanishi, Y. (2000), "A particle swarm optimization for reactive power and voltage control considering voltage security assessment", IEEE Trans. Pow. Syst., 15(4), 1232-1239.