References of "Golinval, Jean-Claude"
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See detailPrincipal component analysis of Piezo-Sensor Array for damage localization
De Boe, Pascal; Golinval, Jean-Claude ULiege

in Structural Health Monitoring (2003), 2(2), 137-144

This paper focuses on applying statistical process control techniques, based on principal component analysis, to vibration-based damage diagnosis. It is well known that localized structural damages with ... [more ▼]

This paper focuses on applying statistical process control techniques, based on principal component analysis, to vibration-based damage diagnosis. It is well known that localized structural damages with relative small amplitude do not affect much the global modal response of the structure, at least at low frequencies. Nevertheless, it can be expected that the local dynamic behavior of a damaged structural subcomponent is significantly affected. Assuming that each structural subcomponent is monitored, local structural damage, with relative small amplitude, will only affect a particular sensor without affecting significantly the response of the others. By applying a principal component analysis on the sensor time responses, it is possible to see that any change of one particular sensor will affect the subspace spanned by the complete sensor response set. The subspace corresponding to the damaged structure can then be compared with the subspace of an initial state in order to diagnose possible damage. The principal component analysis may also be performed for every potential subset of damaged sensors in order to identify the involved sensor, and, therefore, the damaged structural component. The spatial information given by the distributed sensors (e.g. piezoelectric laminates) can be used to forecast structural damages on a critical area but damage localization is also possible with classical sensors (e.g. accelerometers). The damage may be located as the errors attain the maximum at the sensors instrumented in the damaged substructures. [less ▲]

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See detailVTT benchmark: Application of the restoring force surface method
Kerschen, Gaëtan ULiege; Lenaerts, V.; Golinval, Jean-Claude ULiege

in Mechanical Systems & Signal Processing (2003), 17(1), 189-193

The restoring force surface method is an efficient and reliable technique for the identification of non-linear mechanical systems. The objective of this paper is to demonstrate its utility for the ... [more ▼]

The restoring force surface method is an efficient and reliable technique for the identification of non-linear mechanical systems. The objective of this paper is to demonstrate its utility for the identification of the VTT benchmark. (C) 2003 Elsevier Science Ltd. All rights reserved. [less ▲]

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See detailOn the exploitation of chaos to build reduced-order models
Kerschen, Gaëtan ULiege; Feeny, B. F.; Golinval, Jean-Claude ULiege

in Computer Methods in Applied Mechanics & Engineering (2003), 192(13-14), 1785-1795

The present study focuses on the model reduction of non-linear systems. The proper orthogonal decomposition is exploited to compute eigenmodes from time series of displacement. These eigenmodes, called ... [more ▼]

The present study focuses on the model reduction of non-linear systems. The proper orthogonal decomposition is exploited to compute eigenmodes from time series of displacement. These eigenmodes, called the proper orthogonal modes, are optimal with respect to energy content and are used to build a low-dimensional model of the non-linear system. For this purpose, the proper orthogonal modes obtained from a chaotic orbit are considered. Indeed, such an orbit is assumed to cover a portion of the phase space of higher dimension, and hence of greater measure. This higher dimensional data is further assumed to contain more information about the system dynamics than data of a lower-dimensional periodic orbit. In an example, it is shown that the modes for this particular behaviour are more representative of the system dynamics than any other set of modes extracted from a non-chaotic response. This is applied to a buckled beam with two permanent magnets and the reduced-order model is validated using both qualitative and quantitative comparisons. (C) 2003 Elsevier Science B.V. 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 ULiege; Kerschen, Gaëtan ULiege; Lenaerts, Vincent et al

in Mechanical Systems & Signal Processing (2003)

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See detailComparison of the Severity of Standards Used for the Vibration Testing of Luminaires
Marin, Frédéric; Golinval, Jean-Claude ULiege; Marville, Christian et al

Conference given outside the academic context (2003)

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See detailStructural integral monitoring by vibration measurements
Yan, Ai-Min; De Boe, Pascal; Golinval, Jean-Claude ULiege

in FM2003 - Structural Integrity and Materials Aging (2003)

This paper presents a comparative study on several approaches of structural damage diagnosis based on vibration measurements. Stochastic subspace identification method is used to identify modal parameters ... [more ▼]

This paper presents a comparative study on several approaches of structural damage diagnosis based on vibration measurements. Stochastic subspace identification method is used to identify modal parameters and to generate a Kalman prediction model, which are taken as damage-sensitive features for structural damage detection. A statistical process control technique based on principal component analysis (PCA) is also presented. An improvement and enhancement of PCA are proposed. It is assumed that without damage, structural responses should remain approximately in a hyperplane defined by the principal directions of data. Damage localization is explored with these methods. As only the measured output signals are needed, the methods are convenient for an on-line monitoring. The efficiency and limitation of the proposed methods are illustrated by a practical application. [less ▲]

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See detailStructural Integrity Monitoring by Vibration Measurements
Yan, Ai-Min; De Boe, Pascal; Golinval, Jean-Claude ULiege

Conference given outside the academic context (2003)

This paper presents a comparative study on several approaches of structural dam-age diagnosis based on vibration meas-urements. Stochastic subspace identifica-tion method is used to identify modal pa ... [more ▼]

This paper presents a comparative study on several approaches of structural dam-age diagnosis based on vibration meas-urements. Stochastic subspace identifica-tion method is used to identify modal pa-rameters and to generate a Kalman predic-tion model, which are taken as damage-sensitive features for structural damage detection. A statistical process control technique based on principal component analysis (PCA) is also presented. An im-provement and enhancement of PCA is proposed. It is assumed that without dam-ages, structural responses should remain approximately in a hyperplane defined by the principal directions of data. Damage localization is explored with these meth-ods. As only the measured output signals are needed, the methods are convenient for on-line monitoring. The efficiency and limitation of the proposed methods are illustrated by numerical and practical ap-plications. [less ▲]

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See detailModel Updating Based on Frequency Response Functions Using A General Finite Element Code
Yan, Ai-Min; Golinval, Jean-Claude ULiege

in European Journal of Mechanical and Environmental Engineering (2003), 48(3), 149-162

Model updating techniques using frequency response function (FRF) data are studied in this paper. The numerical techniques are discussed for implementation with a large commercial finite element (FE ... [more ▼]

Model updating techniques using frequency response function (FRF) data are studied in this paper. The numerical techniques are discussed for implementation with a large commercial finite element (FE ) code. System equivalent reduction expansion process is adopted to reduce the complete FE solutions onto the experimental degrees of freedom. The rank-deficiency difficulty with this method is overcome using either of two numerical techniques: diagonal perturbation and singular value decomposition. This second technique is also used in solving the updating equation. Experimental FRF data are compared with the FE solutions, and the updated model parameters are obtained via an iteration procedure. A simplified frequency domain assurance criterion is proposed to evaluate the correlation between the FE model and the measured structure at the chosen frequencies. After verifying the efficiency of the methods with several benchmark tests, the program is applied to an aeroplane model test. Some conclusions are given and remaining problems illustrated. [less ▲]

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See detailUse of Whole-Field Displacement Measurements for Model Updating of Blades
SIMON, Daniel; Golinval, Jean-Claude ULiege

Conference given outside the academic context (2003)

Non-contacting measurement techniques such as modal holographic interferometry look very promising for finite element (F.E.) model updating or error localization of plate-like structures in the field of ... [more ▼]

Non-contacting measurement techniques such as modal holographic interferometry look very promising for finite element (F.E.) model updating or error localization of plate-like structures in the field of structural dynamics. The purpose of this work is to investigate a way to better exploit the high spatial resolution of optical techniques in order to correct FE meshing discretization errors and/or model parameter errors. The key idea developed in this paper is to calculate successively two error estimators using only measurement data. The experimental field is first used for the detection of singular regions corresponding to high deformation (or stress) gradients. This estimator indicates the regions where a mesh refinement is required. Thus a second estimator is calculated and used for parameter error detection. [less ▲]

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See detailSubstructure Damage Detection by Principal Component Analysis : Application to Environmental Vibration Testing
De Boe, Pascal; Yan, Ai-Min; Golinval, Jean-Claude ULiege

Conference given outside the academic context (2003)

This paper deals with the application of statistical process control techniques based on principal component analysis to vibration-based damage diagnosis of structures. It is well known that localized ... [more ▼]

This paper deals with the application of statistical process control techniques based on principal component analysis to vibration-based damage diagnosis of structures. It is well known that localized structural damages with relative small amplitude may not much affect the global modal response of the structure, at least at low frequencies. Nevertheless, it can be expected that the local dynamic behavior of the damaged structural component is significantly affected. By applying principal component analysis on the sensor time responses, it may be shown that any change of a particular sensor will affect the subspace spanned by the response of the complete sensor set. The subspace corresponding to the damaged structure can then be compared with the subspace of an initial state in order to diagnose possible damages. The problem of structural damage detection is addressed in the case of a fatigue test by means of an electro-dynamic shaker. In this example, monitoring of the structural responses is performed during a qualification test in order to detect any structural damage. [less ▲]

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See detailAuto-associative neural networks, Part II: Feacture extraction for non-linear model updating
Kerschen, Gaëtan ULiege; Golinval, Jean-Claude ULiege

in 8th Internationale Conference on Recent Advances in Structural Dynamics, Southampton, 2003 (2003)

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See detailValidating structural models in non-linear dynamics
Kerschen, Gaëtan ULiege; Golinval, Jean-Claude ULiege

in 6ème congrès national de Mécanique Th. et App., Gent, 2003 (2003)

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See detailAuto-associantive neural networks, Part I: Replacement of missing sensor values,
Kerschen, Gaëtan ULiege; Golinval, Jean-Claude ULiege

in 8th Internationale Conference on Recent Advances in Structural Dynamics, Southampton, 2003 (2003)

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See detailModeling of the influence of electric forces on mechanical structures
Rochus, Véronique ULiege; Duysinx, Pierre ULiege; Golinval, Jean-Claude ULiege

Conference (2003)

This paper is a summary concerning the modeling of the strong electro-mechanical coupling appearing in micro-electro-mechanical systems (MEMS). These systems are very small devices (typical size of a few ... [more ▼]

This paper is a summary concerning the modeling of the strong electro-mechanical coupling appearing in micro-electro-mechanical systems (MEMS). These systems are very small devices (typical size of a few microns), in which electric phenomena as well as mechanical and dynamical phenomena exist. The finite element method is used to discretize simultaneously the electrostatic and mechanical fields. The formulation is consistently derived from variational principles based on the electro-mechanical free energy. In classical weakly coupled formulations staggered iteration is used between the electrostatic and the mechanical domain. Therefore, in those approaches, linear stiffness is evaluated by finite differences and equilibrium is reached typically by relaxation techniques. The strong coupling formulation presented here allows to derive exact tangent matrices of the electro-mechanical system. Thus it allows to compute non-linear equilibrium positions using Newton- Raphson type iterations combined with adaptive meshing in case of large displacements. Furthermore, the tangent matrix obtained in the method considered in this paper greatly simplifies the computation of vibration modes and frequencies of the coupled system around equilibrium configurations. The non-linear variation of frequencies with respect to voltage and stiffness can then be investigated until pull-in appears. In order to illustrate the effectiveness of the proposed formulation numerical results are shown first for the reference problem of a simple flexible cap acitor, then for the model of a micro-bridge. [less ▲]

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See detail"European Cost action F3 on structural dynamics. WG3: identification of non-linear systems.Activities and Results"
Golinval, Jean-Claude ULiege; Kerschen, Gaëtan ULiege; Lenaerts, V. et al

in International Conference on Noise and Vibration Engineering, Leuven, 2002 (2002, September)

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See detailOn the exploitation of chaos to build reduced-order models
Kerschen, Gaëtan ULiege; Feeny, B. F.; Golinval, Jean-Claude ULiege

in International Conference on Noise and Vibration Engineering, Leuven, 2002 (2002, September)

The present study focuses on the model reduction of non-linear systems. The proper orthogonal decomposition is exploited to compute eigenmodes from time series of displacement. These eigenmodes, called ... [more ▼]

The present study focuses on the model reduction of non-linear systems. The proper orthogonal decomposition is exploited to compute eigenmodes from time series of displacement. These eigenmodes, called the proper orthogonal modes, are optimal with respect to energy content and are used to build a low-dimensional model of the non-linear system. For this purpose, the proper orthogonal modes obtained from a chaotic orbit are considered. Indeed, such an orbit is assumed to cover the phase space more uniformly. It is shown that the modes for this particular behaviour are more representative of the system dynamics than any other set of modes extracted from a non-chaotic response. This is applied to a buckled beam with two permanent magnets and the reduced-order model is validated using both qualitative and quantitative comparisons. [less ▲]

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See detailAn Adaptation of the Newmark Scheme for the Integrated Simulation of Mechatronic Systems
Bruls, Olivier ULiege; Duysinx, Pierre ULiege; Golinval, Jean-Claude ULiege

in Proceeding of 6th Int. Conf. on Motion and Vibration Control (MOVIC) (2002, August)

A methodology is developed to simulate flexible multibody systems subject to the action of a digital control system. The mechanical model is built in the formalism of flexible multibody dynamics using the ... [more ▼]

A methodology is developed to simulate flexible multibody systems subject to the action of a digital control system. The mechanical model is built in the formalism of flexible multibody dynamics using the Finite Element Method. At the begining of each sampling period, the model of the control system is used to compute the control forces and torques applied to the mechanism. A second-order system with a direct velocity feedback controller is considered to study the performances of the method. A modification of the classical Newmark algorithm yields outstanding improvements in the results quality. [less ▲]

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See detailNon-linear generalization of principal component analysis: From a global to a local approach
Kerschen, Gaëtan ULiege; Golinval, Jean-Claude ULiege

in Journal of Sound & Vibration (2002), 254(5), 867-876

Principal component analysis (PCA), also known as proper orthogonal decomposition or Karhunen-Loeve transform, is commonly used to reduce the dimensionality of a data set with a large number of ... [more ▼]

Principal component analysis (PCA), also known as proper orthogonal decomposition or Karhunen-Loeve transform, is commonly used to reduce the dimensionality of a data set with a large number of interdependent variables. PCA is the optimal linear transformation with respect to minimizing the mean square reconstruction error but it only considers second-order statistics. If the data have non-linear dependencies, an important issue is to develop a technique which takes higher order statistics into account and which can eliminate dependencies not removed by PCA. Recognizing the shortcomings of PCA, researchers in the field of statistics and neural networks have developed non-linear extensions of PCA. The purpose of this paper is to present a non-linear generalization of PCA, called VQPCA. This algorithm builds local linear models by combining PCA with clustering of the input space. This paper concludes by observing from two illustrative examples that VQPCA is potentially a more effective tool than conventional PCA. (C) 2002 Elsevier Science Ltd. All rights reserved. [less ▲]

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See detailFeature extraction for non-linear model updating
Kerschen, Gaëtan ULiege; Golinval, Jean-Claude ULiege

in International Conference on Structural Dynamics Modelling, Funchal, 2002 (2002, June)

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