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
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/4062/ http://umpir.ump.edu.my/id/eprint/4062/1/P132.pdf

id	ump-4062
recordtype	eprints
spelling	ump-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)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/4062/1/P132.pdf
first_indexed	2023-09-18T21:58:34Z
last_indexed	2023-09-18T21:58:34Z
_version_	1777414244600381440

Smart Methodology of Stiffness Nonlinearity Identification Vibration System

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