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Published by VDM Verlag 2009-04-15, 2009
ISBN 10: 3639145526 ISBN 13: 9783639145526
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Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639145526 ISBN 13: 9783639145526
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Taschenbuch. Condition: Neu. Mechanical System Identification | Experimental Sensitivity Analysis | Chulho Yang | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639145526 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639145526 ISBN 13: 9783639145526
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang ChulhoChulho Yang is an associate professor at Oklahoma State nUniversity in USA. He received a Ph.D. degree in Mechanical nEngineering from Purdue University IN USA. He has performed nresearch in the areas of system identificat.
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639145526 ISBN 13: 9783639145526
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An experimental sensitivity method for analyzing forced vibration data is developed and applied in this book. It is shown that if a set of measured mechanical system input-output functions is available in vibrating systems, an appropriate analytical linear parameterization of these functions leads to algebraic relationships between the measured data. These functions are solely a function of experimental frequency response function data and determine the linear forced response sensitivity to physical perturbations in the system mechanical properties. Applications in three key areas of mechanical dynamic systems are examined to verify and further study the requirements of the embedded sensitivity function approach in experimental sensitivity analysis. First, this technique is used to examine the forward problem of identifying optimal design modifications for reducing linear vibration resonance problems. Second, it is applied to characterize nonlinear mechanical systems and identify nonlinear input-output models for those systems. Third, it is applied to examine the inverse problem of identifying structural perturbations or damage.