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H. Rice, J. Fitzpatrick (1991)
A procedure for the identification of linear and non-linear multi-degree-of-freedom systemsJournal of Sound and Vibration, 149
M. Ratcliffe, N. Lieven (2000)
A generic element-based method for joint identificationMechanical Systems and Signal Processing, 14
R.M. Lin, D.J. Ewins
Model updating using FRF data
M. Hajj, J. Fung, A. Nayfeh (2000)
Damping Identification Using Perturbation Techniques and Higher-Order SpectraNonlinear Dynamics, 23
K. Yasuda, S. Kawamura, Koutaro Watanabe (1988)
Identification of Nonlinear Multi-Degree-of-Freedom Systems : Presentation of an Identification TechniqueJsme International Journal Series C-mechanical Systems Machine Elements and Manufacturing, 31
M. Thothadri, R. Casas, F. Moon, R. D’Andrea, C. Johnson (2003)
Nonlinear System Identification of Multi-Degree-of-Freedom SystemsNonlinear Dynamics, 32
K. Yasuda, S. Kawamura, Koutaro Watanabe (1988)
Identification of nonlinear multi-degree-of-freedom systems. Identification under noisy measurements.Jsme International Journal Series C-mechanical Systems Machine Elements and Manufacturing, 31
J.R.F. Arruda, J.M.C. Santos, S.H.S. Carneiro
Experimental estimation of mechanical joint parameters using frequency response function and modal parameters
G. Kerschen, K. Worden, A. Vakakis, J. Golinval (2006)
Past, present and future of nonlinear system identification in structural dynamicsMechanical Systems and Signal Processing, 20
H. Rice, J. Fitzpatrick (1991)
The Measurement of Nonlinear Damping in Single-Degree-of-Freedom SystemsJournal of Vibration and Acoustics, 113
W. Li (2002)
A NEW METHOD FOR STRUCTURAL MODEL UPDATING AND JOINT STIFFNESS IDENTIFICATIONMechanical Systems and Signal Processing, 16
Animesh Chatterjee, N. Vyas (2004)
Non-linear parameter estimation in multi-degree-of-freedom systems using multi-input Volterra seriesMechanical Systems and Signal Processing, 18
D. Adams, R. Allemang (2000)
A FREQUENCY DOMAIN METHOD FOR ESTIMATING THE PARAMETERS OF A NON-LINEAR STRUCTURAL DYNAMIC MODEL THROUGH FEEDBACKMechanical Systems and Signal Processing, 14
C. Richards, Rajendra Singh (1998)
IDENTIFICATION OF MULTI-DEGREE-OF-FREEDOM NON-LINEAR SYSTEMS UNDER RANDOM EXCITATIONS BY THE “REVERSE PATH” SPECTRAL METHODJournal of Sound and Vibration, 213
K. Jahani, A. Nobari (2008)
Identification of Dynamic (Young’s and Shear) Moduli of a Structural Adhesive Using Modal Based Direct Model Updating MethodExperimental Mechanics, 48
F. Thouverez, L. Jezequel (1998)
Identification of a localized non-linearityInternational Journal of Non-linear Mechanics, 33
Purpose – The purpose of this paper is to consider the dynamic characteristics identification of local structural nonlinearities. Design/methodology/approach – Proposed identification method is based on minimum error linear frequency response function (MELF). Two different techniques are developed to extract nonlinear element's dynamic behavior from MELF. The first method, in which no pre‐assumed model is considered for the nonlinearity mechanism behavior, is called “direct identification method.” The second method is “model based identification method.” Findings – Cubic stiffness dynamic characteristics are identified using the proposed techniques as a case study. Originality/value – The paper shows that the proposed identification technique is simple and free of any sophisticated measurement hardwares and constraints, which is required by most of the methods proposed so far.
Aircraft Engineering and Aerospace Technology – Emerald Publishing
Published: Oct 16, 2009
Keywords: Frequency response; Aerospace engineering; Modelling
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