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AUTHOR(S): 

Sinan Melih Nigdeli, Gebrail Bekdas, Xin-She Yang

 

TITLE

Optimum Tuning of Mass Dampers for Seismic Structures Using Flower Pollination Algorithm

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KEYWORDS

Tuned mass damper, Optimization, Earthquake, Swarm Intelligence, Flower Pollination Algorithm, Structures

ABSTRACT

For the design of damping of vibrations of seismic structures, tuned mass dampers can be used. For efficiency, the implemented mass damper (TMD) must be optimally tuned. The optimum values cannot be found by mathematical methods due to the consideration of multiple structural modes, inherent damping and earthquake excitations with random frequency. In that case, metaheuristic methods and swarm intelligence based algorithms are suitable in searching for the optimum values of tuned mass dampers. In this study, the flower pollination algorithm (FPA) is employed in order to find the optimum mass, period and damping ratio of tuned mass damper positioned on the top of the structure. In the numerical example, the best solution is search under a set of earthquake excitations for a ten story structure and the stroke capacity limit of TMD is considered. The comparisons with the existing approaches show the feasibility of the FPA based method.

Cite this paper

Sinan Melih Nigdeli, Gebrail Bekdas, Xin-She Yang. (2016) Optimum Tuning of Mass Dampers for Seismic Structures Using Flower Pollination Algorithm . International Journal of Theoretical and Applied Mechanics, 1, 264-268

 

 

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