Abstract
In this article, the charged system search (CSS) optimization method is improved to identify the parameters of a non-linear hysteretic Bouc-Wen differential model. The CSS is suitable for those optimization problems involving non-smooth or non-convex domains. Bouc-Wen is a well-established non-linear model which has been used to portray the hysteretic and high non-linear real behavior of numerous physical and mechanical systems. To improve the effectiveness and adaptability of the CSS algorithm, it is combined with sub-optimization mechanism. The obtained results show that the adaptive CSS embodies great robustness and accuracy to be successfully employed in such highly non-linear identification problems.
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Siamak Talatahari is an assistant professor of Structural Engineering in University of Tabriz. Dr. Talatahari is recognized as “Elite” by Iranian Elites Organization and as the “Distinguished Researcher” in 2010. He is the author of more than 40 papers published in international journals and more than 20 other papers presented at international conferences. He is also the editor of two international books which will be published by “Elsevier” in the end of 2012.
Ali Kaveh received his M.S., DIC and Ph.D degrees from Imperial College of Science and Technology at London University in 1970 and 1974, respectively. He then joined the Iran University of Science and Technology in Tehran. Prof. Kaveh is the author of 450 papers published in international journals or presented at international conferences, 26 books in Farsi and English. He was the supervisor of 20 PhD and more than 160 MSc students. Professor Kaveh has been lecturing for more than 37 years in different national and international universities.
Nima Mohajer Rahbari has received his M.Sc. degree in civil engineering in the field of earthquake engineering from the University of Tabriz in 2010 and currently works as a structural engineer at NARGAN Engineers & Constructors Company. His general research interests include smart structures, structural control systems, seismic structures, non-linear analysis, optimization and finite element method.
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Talatahari, S., Kaveh, A. & Mohajer Rahbari, N. Parameter identification of Bouc-Wen model for MR fluid dampers using adaptive charged system search optimization. J Mech Sci Technol 26, 2523–2534 (2012). https://doi.org/10.1007/s12206-012-0625-y
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DOI: https://doi.org/10.1007/s12206-012-0625-y