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Finding optimal parameters of tuned mass dampers
Author(s) -
Özsarıyıldız Şaban S.,
Bozer Ali
Publication year - 2014
Publication title -
the structural design of tall and special buildings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 43
eISSN - 1541-7808
pISSN - 1541-7794
DOI - 10.1002/tal.1174
Subject(s) - benchmark (surveying) , differential evolution , damper , tuned mass damper , differential (mechanical device) , function (biology) , control theory (sociology) , process (computing) , measure (data warehouse) , optimal design , optimization problem , transfer function , computer science , mathematical optimization , engineering , structural engineering , algorithm , mathematics , artificial intelligence , data mining , geology , machine learning , control (management) , geodesy , aerospace engineering , evolutionary biology , biology , operating system , electrical engineering
Summary In this paper, optimum design of tuned mass damper for seismically excited structures is discussed. In the design process, a benchmark multi‐degree of freedom system is considered, and the performance measure of the optimization criterion is selected as the H 2 and H ∞ norms of the transfer function of the combined tuned mass damper and building system. Differential evolution algorithm is then utilized to minimize these objective functions. The objective function choice on performance and the effectiveness of differential evolution optimization algorithm in comparison with other algorithms in the literature are investigated through numerical simulations. Copyright © 2014 John Wiley & Sons, Ltd.