Smart Methodology of Stiffness Nonlinearity Identification Vibration System

Nonlinear identification is a very popular topic in the area of structural dynamics. Detection, localisation and quantification of nonlinearities are very important steps for assessing faults or damages in engineering structures. There have been many studies of identifying structural nonlinearities...

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Main Authors: M. S. M., Sani, Ouyang, H., Cooper, J.E., Che Ku Eddy Nizwan, Che Ku Husin
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:http://umpir.ump.edu.my/id/eprint/4062/1/P132.pdf
http://umpir.ump.edu.my/id/eprint/4062/
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Institution: Universiti Malaysia Pahang
Language: English
id my.ump.umpir.4062
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spelling my.ump.umpir.40622018-01-23T00:59:50Z http://umpir.ump.edu.my/id/eprint/4062/ Smart Methodology of Stiffness Nonlinearity Identification Vibration System M. S. M., Sani Ouyang, H. Cooper, J.E. Che Ku Eddy Nizwan, Che Ku Husin TJ Mechanical engineering and machinery Nonlinear identification is a very popular topic in the area of structural dynamics. Detection, localisation and quantification of nonlinearities are very important steps for assessing faults or damages in engineering structures. There have been many studies of identifying structural nonlinearities based on vibration data but most methods are only suitable for a small number of degrees of freedom and few nonlinear terms. In this paper, a procedure that utilises the restoring force surface method is developed in order to identify the parameters of nonlinear properties such as cubic stiffness, bilinear stiffness or free play. This method employs measured vibration data, and can be applied to structures of many degrees-of-freedom. In this paper, NASTRAN is used to compute the frequencies and modes of the structure under study. The simulated nonlinear model is formulated in modal space with additional terms representing nonlinear behaviour. Nonlinear curve fitting then enables interpretation of the nonlinear stiffness via the restoring force surface. The method is shown by MATLAB simulations to yield quite accurate identification of stiffness nonlinearity. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4062/1/P132.pdf M. S. M., Sani and Ouyang, H. and Cooper, J.E. and Che Ku Eddy Nizwan, Che Ku Husin (2013) Smart Methodology of Stiffness Nonlinearity Identification Vibration System. In: International Conference on Mechanical Engineering Research (ICMER2013), 1-3 July 2013 , Bukit Gambang Resort City, Kuantan, Pahang, Malaysia. pp. 1-10.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
M. S. M., Sani
Ouyang, H.
Cooper, J.E.
Che Ku Eddy Nizwan, Che Ku Husin
Smart Methodology of Stiffness Nonlinearity Identification Vibration System
description Nonlinear identification is a very popular topic in the area of structural dynamics. Detection, localisation and quantification of nonlinearities are very important steps for assessing faults or damages in engineering structures. There have been many studies of identifying structural nonlinearities based on vibration data but most methods are only suitable for a small number of degrees of freedom and few nonlinear terms. In this paper, a procedure that utilises the restoring force surface method is developed in order to identify the parameters of nonlinear properties such as cubic stiffness, bilinear stiffness or free play. This method employs measured vibration data, and can be applied to structures of many degrees-of-freedom. In this paper, NASTRAN is used to compute the frequencies and modes of the structure under study. The simulated nonlinear model is formulated in modal space with additional terms representing nonlinear behaviour. Nonlinear curve fitting then enables interpretation of the nonlinear stiffness via the restoring force surface. The method is shown by MATLAB simulations to yield quite accurate identification of stiffness nonlinearity.
format Conference or Workshop Item
author M. S. M., Sani
Ouyang, H.
Cooper, J.E.
Che Ku Eddy Nizwan, Che Ku Husin
author_facet M. S. M., Sani
Ouyang, H.
Cooper, J.E.
Che Ku Eddy Nizwan, Che Ku Husin
author_sort M. S. M., Sani
title Smart Methodology of Stiffness Nonlinearity Identification Vibration System
title_short Smart Methodology of Stiffness Nonlinearity Identification Vibration System
title_full Smart Methodology of Stiffness Nonlinearity Identification Vibration System
title_fullStr Smart Methodology of Stiffness Nonlinearity Identification Vibration System
title_full_unstemmed Smart Methodology of Stiffness Nonlinearity Identification Vibration System
title_sort smart methodology of stiffness nonlinearity identification vibration system
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/4062/1/P132.pdf
http://umpir.ump.edu.my/id/eprint/4062/
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