Metaheuristic Based Optimization for Tuned Mass Dampers Using Frequency Domain Responses

The usage of tuned mass dampers is a practical technique for civil structures under undesired vibrations. Since earthquake or other excitations have random vibration with various frequencies, frequency domain responses of structures can be used in tuning of mass dampers. By the minimization of transfer function of the structure, the amplitude corresponding to the response frequency of the structure is minimized. Thus, the passive control of the structure is provided. The optimization problem is non-linear since the existence of inherent damping of the structure, possible solution range of tuned mass damper (TMD) and multiple modes of multiple degree of freedom structures. For that reason, three metaheuristic algorithms such as harmony search, flower pollination algorithm and teaching learning based optimization are compared in mean of performance and computation effort. All algorithms are feasible with significant possible advantages.

[1]  G. B. Warburton,et al.  Optimum absorber parameters for various combinations of response and excitation parameters , 1982 .

[2]  Rolf Steinbuch,et al.  Bionic optimisation of the earthquake resistance of high buildings by tuned mass dampers , 2011 .

[3]  Mahendra P. Singh,et al.  Tuned mass dampers for response control of torsional buildings , 2002 .

[4]  Gebrail Bekdaş,et al.  Optimum tuned mass damper design for preventing brittle fracture of RC buildings , 2013 .

[5]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[6]  Giuseppe Marano,et al.  A comparison between different optimization criteria for tuned mass dampers design , 2010 .

[7]  Anooshiravan Farshidianfar,et al.  ABC optimization of TMD parameters for tall buildings with soil structure interaction , 2013 .

[8]  Hojjat Adeli,et al.  Tuned Mass Dampers , 2013 .

[9]  Anjan Dutta,et al.  Coupled tuned mass dampers for control of coupled vibrations in asymmetric buildings , 2006 .

[10]  Gebrail Bekdaş,et al.  ESTIMATING OPTIMUM PARAMETERS OF TUNED MASS DAMPERS USING HARMONY SEARCH , 2011 .

[11]  Anoshirvan Farshidianfar,et al.  OPTIMIZATION OF TMD PARAMETERS FOR EARTHQUAKE VIBRATIONS OF TALL BUILDINGS INCLUDING SOIL STRUCTURE INTERACTION , 2013 .

[12]  S. Pourzeynali,et al.  Active control of high rise building structures using fuzzy logic and genetic algorithms , 2007 .

[13]  Chih-Chen Chang,et al.  Mass dampers and their optimal designs for building vibration control , 1999 .

[14]  Andrew Y. T. Leung,et al.  Particle swarm optimization of tuned mass dampers , 2009 .

[15]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[16]  Yoyong Arfiadi,et al.  Optimum Design of Absorber for MDOF Structures , 1998 .

[17]  Haijun Zhang,et al.  Particle swarm optimization of TMD by non‐stationary base excitation during earthquake , 2008 .

[18]  Fahim Sadek,et al.  A METHOD OF ESTIMATING THE PARAMETERS OF TUNED MASS DAMPERS FOR SEISMIC APPLICATIONS , 1997 .

[19]  Gebrail Bekdaş,et al.  Mass ratio factor for optimum tuned mass damper strategies , 2013 .

[20]  Xin-She Yang,et al.  Flower Pollination Algorithm for Global Optimization , 2012, UCNC.

[21]  Anooshiravan Farshidianfar,et al.  Ant colony optimization of tuned mass dampers for earthquake oscillations of high-rise structures including soil–structure interaction , 2013 .

[22]  J. Ormondroyd.  Theory of the Dynamic Vibration Absorber , 1928 .