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See detailConception et réalisation du système de déploiement des antennes du nanosatellite OUFTI-1
Wertz, Jérôme ULg; Lenaerts, Vincent; Bruls, Olivier ULg et al

in Coudyser, A. (Ed.) Revue Scientifique des Instituts Supérieurs Industriels Libres Francophones, volume 24 (2010)

The OUFTI-1 satellite is a CubeSat (a standard cubic satellite of 10cm edge and 1 kg mass maximum) developed at University of Liège. The subject of the master thesis is the design and realization of its ... [more ▼]

The OUFTI-1 satellite is a CubeSat (a standard cubic satellite of 10cm edge and 1 kg mass maximum) developed at University of Liège. The subject of the master thesis is the design and realization of its antennas, and also of their deployment system. The thesis result is a prototype including all the system functions and which has been vacuum-tested. [less ▲]

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See detailProper Orthogonal modes for the characterisation of nonlinear dynamic systems
Kerschen, Gaëtan ULg; Lenaerts, Vincent; Golinval, Jean-Claude ULg et al

in Euromech Colloquim on Nonlinear Modes of Vibrating Systems, Frejus, 2004 (2004)

Modal analysis is extensively used for the analysis and design of structures. However, a major concern for structural dynamicists is that its validity is limited to systems showing a linear behaviour. New ... [more ▼]

Modal analysis is extensively used for the analysis and design of structures. However, a major concern for structural dynamicists is that its validity is limited to systems showing a linear behaviour. New developments have thus been proposed in order to tackle nonlinear systems among which the theory based on the nonlinear normal modes is indubitably the most appealing. In this study, a different approach is adopted and the modes extracted from the proper orthogonal decomposition are considered for the characterization of nonlinear systems. [less ▲]

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See detailECL benchmark: Application of the proper orthogonal decomposition
Lenaerts, Vincent; Kerschen, Gaëtan ULg; Golinval, Jean-Claude ULg

in Mechanical Systems & Signal Processing (2003), 17(1), 237-242

The aim of this paper is to apply the proper orthogonal decomposition method to a non-linear system consisting of an experimental cantilever beam with a geometrical non-linearity. (C) 2003 Elsevier ... [more ▼]

The aim of this paper is to apply the proper orthogonal decomposition method to a non-linear system consisting of an experimental cantilever beam with a geometrical non-linearity. (C) 2003 Elsevier Science Ltd. All rights reserved. [less ▲]

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See detailEuropean COST action F3 on structural dynamics. Working group 3: identification of non-linear systems. Introduction and conclusions
Golinval, Jean-Claude ULg; Kerschen, Gaëtan ULg; Lenaerts, Vincent et al

in Mechanical Systems & Signal Processing (2003)

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See detailA frequency domain versus a time domain identification technique for nonlinear parameters applied to wire rope isolators
Kerschen, Gaëtan ULg; Lenaerts, Vincent; Marchesiello, Stefano et al

in Journal of Dynamic Systems Measurement and Control-Transactions of the Asme (2001), 123(4), 645-650

The present paper aims to compare two techniques for identification of nonlinear dynamical systems. The Conditioned Reverse Path method, which is a frequency domain technique, is considered together with ... [more ▼]

The present paper aims to compare two techniques for identification of nonlinear dynamical systems. The Conditioned Reverse Path method, which is a frequency domain technique, is considered together with the Restoring Force Surface method, a time domain technique. Both methods are applied for experimental identification of wire rope isolators and the results are compared. Finally, drawbacks and advantages of each technique are underlined. [less ▲]

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See detailExperimental identification of a non-linear beam, conditionned reverse path method
Kerschen, Gaëtan ULg; Lenaerts, Vincent; Golinval, Jean-Claude ULg

in International Conference on Structural Systems Identification, Kassel, 2001 (2001, September)

A new spectral approach for identification of multi-degree-of-freedom nonlinear systems, called the conditioned reverse path method, has recently been introduced. The key idea of this method is to ... [more ▼]

A new spectral approach for identification of multi-degree-of-freedom nonlinear systems, called the conditioned reverse path method, has recently been introduced. The key idea of this method is to eliminate the distortions caused by the presence of non-linearities in frequency response functions. Conditioned frequency responses are then computed and yield the underlying linear properties without influence of non-linearities. The non-linear coefficient is estimated in a second step. The aim of the paper is twofold. Firstly, the conditioned reverse path method is described in details together with the spectral conditioning techniques. Secondly, the ability of this technique to identify the behaviour of an experimental cantilever beam with a geometrical non-linearity is tested. [less ▲]

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See detailIdentification of wire rope isolators using the restoring force surface method
Kerschen, Gaëtan ULg; Lenaerts, Vincent; Golinval, Jean-Claude ULg

in International Conference on Structural Systems Identification, Kassel, 2001 (2001)

The restoring force surface method offers an efficient and reliable identification of non-linear single-degree-of-freedom systems. The method may be extended to multidegree-of-freedom systems but by ... [more ▼]

The restoring force surface method offers an efficient and reliable identification of non-linear single-degree-of-freedom systems. The method may be extended to multidegree-of-freedom systems but by loosing the key advantage of the method which lies in the two-dimensional representation for single-degree-of-freedom systems. An experimental application of the restoring force surface method is considered in the present paper. The structure investigated consists of wire rope isolators mounted between a load mass and a base mass. These helical isolators were found to be characterised by a non-linear behaviour. The results obtained are discussed in details and the advantages and drawbacks of the method are underlined. [less ▲]

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See detailExperimental identification of a non-linear beam, proper othogonal decomposition
Lenaerts, Vincent; Kerschen, Gaëtan ULg; Golinval, Jean-Claude ULg

in International Conference on Structural Systems Identification, Kassel, 2001 (2001)

The aim of the paper is twofold

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See detailDetection, localisation and identification of nonlinearities in structural dynamics
Lenaerts, Vincent; Kerschen, Gaëtan ULg; Trandafilova, Irina et al

in International Conference on noise and vibration Engineering, Leuven, 2000 (2000)

This paper discusses procedures for nonlinearity detection, localisation and identification in structures from time domain vibration measurements. The detection and the localisation techniques use pattern ... [more ▼]

This paper discusses procedures for nonlinearity detection, localisation and identification in structures from time domain vibration measurements. The detection and the localisation techniques use pattern recognition tools and are based on a dissimilarity measure between the signals coming from a linear structure and the corresponding nonlinear one. The detection procedure distinguishes between linear structures and structures with a nonlinearity employing nearest neighbour techniques. The localisation procedure combines substructuring with a nonlinearity detection procedure. This technique is useful for cases of local nonlinearity, when its localisation can be of value for the consequent understanding and modelling of the structure. The identification procedure makes use of the Karhunen-Loeve transform, known also as Proper Orthogonal Decomposition (POD). It is a powerful tool for solving inverse problems in nonlinear structural dynamics. The identification procedure works on the basis of the minimisation of a difference function between the experimental and the simulated proper orthogonal modes (POM). The proposed techniques are demonstrated on a beam test case with a local damping type nonlinearity. [less ▲]

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See detailProper Orthogonal Decomposition and Model Reduction of Nonlinear Systems
Kerschen, Gaëtan ULg; Lenaerts, Vincent; Golinval, Jean-Claude ULg

in European Cost F3 Conference on system Identification & Structural Health Monitoring, Madrid, 2000 (2000)

This work deals with the application of the proper orthogonal decomposition (POD) to structural dynamics. On one hand, a physical interpretation of the proper orthogonal modes (POM) is given using the ... [more ▼]

This work deals with the application of the proper orthogonal decomposition (POD) to structural dynamics. On one hand, a physical interpretation of the proper orthogonal modes (POM) is given using the singular value decomposition (SVD). It is shown that the POM converge to the normal modes under some circumstances. On the other hand, the POM are exploited for model reduction purposes. The efficiency of the reduced model for the prediction of the response is tested on a nonlinear beam. The comparison with another reduced model obtained via the normal modes of the linearised system points out that the POM are optimal for the reconstruction of the dynamics of a system. [less ▲]

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See detailExperimental Validation of Two Nonlinear Identification Techniques on a Single Degree of Freedom System
Lenaerts, Vincent; Golinval, Jean-Claude ULg; Ruzzene, M. et al

Conference given outside the academic context (1999)

The identification of a single degree of freedom non-linear system is performed on experimental data using two different techniques : a method based on the Wavelet transform and a Direct Parameter ... [more ▼]

The identification of a single degree of freedom non-linear system is performed on experimental data using two different techniques : a method based on the Wavelet transform and a Direct Parameter estimation method. Both techniques are based on the analysis of the system free responses and result in the estimation of linear and non-linear physical parameters. The agreement between the two methods was found to be encouraging and opens to the possibility of extending them to the analysis of more complicated systems. [less ▲]

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