Ircam-Centre Pompidou

Recherche

  • Recherche simple
  • Recherche avancée

    Panier électronique

    Votre panier ne contient aucune notice

    Connexion à la base

  • Identification
    (Identifiez-vous pour accéder aux fonctions de mise à jour. Utilisez votre login-password de courrier électronique)

    Entrepôt OAI-PMH

  • Soumettre une requête

    Consulter la notice détailléeConsulter la notice détaillée
    Version complète en ligneVersion complète en ligne
    Version complète en ligne accessible uniquement depuis l'IrcamVersion complète en ligne accessible uniquement depuis l'Ircam
    Ajouter la notice au panierAjouter la notice au panier
    Retirer la notice du panierRetirer la notice du panier

  • English version
    (full translation not yet available)
  • Liste complète des articles

  • Consultation des notices


    Vue détaillée Vue Refer Vue Labintel Vue BibTeX  

    %0 Journal Article
    %A Hélie, Thomas
    %A Roze, David
    %T Sound synthesis of a nonlinear string using Volterra series
    %D 2008
    %B Journal of Sound and Vibration
    %V 314
    %P 275-306
    %F Helie08a
    %K string
    %K nonlinear model
    %K Volterra series
    %K analytic solution
    %K modal decomposition
    %K sound synthesis
    %X This paper proposes to solve and simulate various Kirchhoff models of nonlinear strings using Volterra series. Two nonlinearities are studied: the string tension is supposed to depend either on the global elongation of the string (first model), or on the local strain located at $x$ (second, and more precise, model). The boundary conditions are simple Dirichlet homogeneous ones or general dynamic conditions (allowing the string to be connected to any system; typically a bridge). For each model, a Volterra series is used to represent the displacement as a functional of excitation forces. The Volterra kernels are solved using a modal decomposition: the first kernel of the series yields the standard modes of the linearized problem while the next kernels introduce the nonlinear dynamics. As a last step, systematic identification of the kernels lead to a structure composed of linear filters, sums, and products which are well-suited to the sound synthesis, using standard signal processing techniques. The nonlinear dynamic introduced through this simulation is significant and perceptible in sound results for sufficiently large excitations.
    %1 1
    %2 3
    %U http://articles.ircam.fr/textes/Helie08a/

    © Ircam - Centre Pompidou 2005.