Estimating optimum parameters of tuned mass dampers using harmony search


Bekdas G. , Nigdeli S. M.

ENGINEERING STRUCTURES, cilt.33, ss.2716-2723, 2011 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 33 Konu: 9
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.engstruct.2011.05.024
  • Dergi Adı: ENGINEERING STRUCTURES
  • Sayfa Sayıları: ss.2716-2723

Özet

In this paper, the optimum parameters of tuned mass dampers (TMD) are proposed under seismic excitations. Harmony search (HS), a metaheurestic optimization method, which has been successfully applied for several engineering problems, is revised for tuning passive mass dampers. A Matlab program is developed for numerical optimization and time domain simulation. Optimization criteria are the peak values of first storey displacement and acceleration transfer function. In order to find best results, all properties of TMD are searched. For a fast and general optimization, a harmonic loading is utilized for numerical iterations. Also, final TMD parameters are checked under earthquake excitations. This new approach is compared with several other documented methods. Comparisons show that the new approach is more effective than other documented methods and more feasible due to smaller TMD parameters. (c) 2011 Elsevier Ltd. All rights reserved.

In this paper, the optimum parameters of tuned mass dampers (TMD) are proposed under seismic excitations. Harmony search (HS), a metaheurestic optimization method, which has been successfully applied for several engineering problems, is revised for tuning passive mass dampers. A Matlab program is developed for numerical optimization and time domain simulation. Optimization criteria are the peak values of first storey displacement and acceleration transfer function. In order to find best results, all properties of TMD are searched. For a fast and general optimization, a harmonic loading is utilized for numerical iterations. Also, final TMD parameters are checked under earthquake excitations. This new approach is compared with several other documented methods. Comparisons show that the new approach is more effective than other documented methods and more feasible due to smaller TMD parameters.