HapticV1, PascalFrancis, Corpus, bibRecord, 000D13

Real-time deformation of structure using finite element and neural networks in virtual reality applications

Identifieur interne : 000D13 ( PascalFrancis/Corpus ); précédent : 000D12; suivant : 000D14

Real-time deformation of structure using finite element and neural networks in virtual reality applications

Auteurs : Ridha Hambli ; Abdessalam Chamekh ; HEDI BEL HADJ SALAH

Source :

Finite elements in analysis and design [ 0168-874X ] ; 2006.

RBID : Pascal:06-0289868

Descripteurs français

Pascal (Inist)
- Temps réel, Grande déformation, Réseau virtuel, Choc mécanique, Boucle réaction, Simulateur, Tennis, Analyse circuit, Sensibilité tactile, Méthode élément fini, Modélisation, Réseau neuronal, Réalité virtuelle, Analyse temporelle, ..

English descriptors

KwdEn :
- Feedback, Finite element method, High strain, Mechanical shock, Modeling, Network analysis, Neural network, Real time, Simulator, Tactile sensitivity, Tennis, Time analysis, Virtual network, Virtual reality.

Abstract

In this paper, an approach for 'virtual' real-time deformation of complex structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant deformation changes in a virtual environment. A tennis racket and ball are used to illustrate the capability of the proposed method. Because real time deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball deformation. The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the deformation of the ball/strings and the impact force-feedback value. The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the deformation.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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C01	`01`		`ENG`	@0 In this paper, an approach for 'virtual' real-time deformation of complex structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant deformation changes in a virtual environment. A tennis racket and ball are used to illustrate the capability of the proposed method. Because real time deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball deformation. The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the deformation of the ball/strings and the impact force-feedback value. The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the deformation.
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C03	`09`	`X`	`FRE`	`@0 Sensibilité tactile @5 20`
C03	`09`	`X`	`ENG`	`@0 Tactile sensitivity @5 20`
C03	`09`	`X`	`SPA`	`@0 Sensibilidad tactil @5 20`
C03	`10`	`X`	`FRE`	`@0 Méthode élément fini @5 23`
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Format Inist (serveur)

NO :	PASCAL 06-0289868 INIST
ET :	Real-time deformation of structure using finite element and neural networks in virtual reality applications
AU :	HAMBLI (Ridha); CHAMEKH (Abdessalam); HEDI BEL HADJ SALAH
AF :	ISTIA, LASQUO, 62, Avenue Notre Dame du Lac/49000 Angers/France (1 aut.); Laboratoire Génie Mécanique, Ecole Nationale d'Ingénieurs de Monastir/Tunisie (2 aut., 3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Finite elements in analysis and design; ISSN 0168-874X; Coden FEADEU; Pays-Bas; Da. 2006; Vol. 42; No. 11; Pp. 985-991; Bibl. 35 ref.
LA :	Anglais
EA :	In this paper, an approach for 'virtual' real-time deformation of complex structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant deformation changes in a virtual environment. A tennis racket and ball are used to illustrate the capability of the proposed method. Because real time deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball deformation. The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the deformation of the ball/strings and the impact force-feedback value. The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the deformation.
CC :	001B40F30M; 001D02B04; 001B00B70D
FD :	Temps réel; Grande déformation; Réseau virtuel; Choc mécanique; Boucle réaction; Simulateur; Tennis; Analyse circuit; Sensibilité tactile; Méthode élément fini; Modélisation; Réseau neuronal; Réalité virtuelle; Analyse temporelle; .
ED :	Real time; High strain; Virtual network; Mechanical shock; Feedback; Simulator; Tennis; Network analysis; Tactile sensitivity; Finite element method; Modeling; Neural network; Virtual reality; Time analysis
SD :	Tiempo real; Gran deformación; Red virtual; Choque mecánico; Retroalimentación; Simulador; Tenis; Análisis circuito; Sensibilidad tactil; Método elemento finito; Modelización; Red neuronal; Realidad virtual; Análisis temporal
LO :	INIST-20867.354000142535210070
ID :	06-0289868

Links to Exploration step

Pascal:06-0289868

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, an approach for 'virtual' real-time deformation of complex structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant deformation changes in a virtual environment. A tennis racket and ball are used to illustrate the capability of the proposed method. Because real time deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball deformation. The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the deformation of the ball/strings and the impact force-feedback value. The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the deformation.</div>
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<s5>26</s5>
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<fC03 i1="13" i2="X" l="SPA"><s0>Realidad virtual</s0>
<s5>26</s5>
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<fC03 i1="14" i2="X" l="FRE"><s0>Analyse temporelle</s0>
<s5>27</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Time analysis</s0>
<s5>27</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Análisis temporal</s0>
<s5>27</s5>
</fC03>
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<s4>INC</s4>
<s5>82</s5>
</fC03>
<fN21><s1>184</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
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<fN82><s1>OTO</s1>
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<server><NO>PASCAL 06-0289868 INIST</NO>
<ET>Real-time deformation of structure using finite element and neural networks in virtual reality applications</ET>
<AU>HAMBLI (Ridha); CHAMEKH (Abdessalam); HEDI BEL HADJ SALAH</AU>
<AF>ISTIA, LASQUO, 62, Avenue Notre Dame du Lac/49000 Angers/France (1 aut.); Laboratoire Génie Mécanique, Ecole Nationale d'Ingénieurs de Monastir/Tunisie (2 aut., 3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Finite elements in analysis and design; ISSN 0168-874X; Coden FEADEU; Pays-Bas; Da. 2006; Vol. 42; No. 11; Pp. 985-991; Bibl. 35 ref.</SO>
<LA>Anglais</LA>
<EA>In this paper, an approach for 'virtual' real-time deformation of complex structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant deformation changes in a virtual environment. A tennis racket and ball are used to illustrate the capability of the proposed method. Because real time deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball deformation. The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the deformation of the ball/strings and the impact force-feedback value. The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the deformation.</EA>
<CC>001B40F30M; 001D02B04; 001B00B70D</CC>
<FD>Temps réel; Grande déformation; Réseau virtuel; Choc mécanique; Boucle réaction; Simulateur; Tennis; Analyse circuit; Sensibilité tactile; Méthode élément fini; Modélisation; Réseau neuronal; Réalité virtuelle; Analyse temporelle; .</FD>
<ED>Real time; High strain; Virtual network; Mechanical shock; Feedback; Simulator; Tennis; Network analysis; Tactile sensitivity; Finite element method; Modeling; Neural network; Virtual reality; Time analysis</ED>
<SD>Tiempo real; Gran deformación; Red virtual; Choque mecánico; Retroalimentación; Simulador; Tenis; Análisis circuito; Sensibilidad tactil; Método elemento finito; Modelización; Red neuronal; Realidad virtual; Análisis temporal</SD>
<LO>INIST-20867.354000142535210070</LO>
<ID>06-0289868</ID>
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Real-time deformation of structure using finite element and neural networks in virtual reality applications

Real-time deformation of structure using finite element and neural networks in virtual reality applications

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