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Eléments finis en transformations finies à base d'ondelettes

Abstract : The numerical modelling with the finite element method conventionally uses functions of polynomial form which, by their regularity, hardly represent singular evolutions such as those observed in the phenomena of localization in mechanics. To solve the issue, the aim of this thesis was to propose a new adaptive approximation support coupling the wavelet representation with the classical finite element method. In the field of signal processing, the wavelet method shows a real capacity to treat singular phenomena. This research study deals with the creation of a hybrid discretisation support, including a polynomial interpolation and a wavelet interpolation formulated with the scaling function of the Daubechies wavelet. The regular part of the solution is represented with the polynomial support and the singularities are visualised with the wavelet support. The adaptation of the hybrid support is carried out with the multiresolution contribution, which adjusts the support according to the importance of observed singularities. An automatic detection and enrichment method is carried out in order to obtain the optimum support. The Daubechies wavelet being known only in discrete points, a particular integration method is proposed. A modification of the not nodal naturally interpolated wavelet interpolation is also introduced, in order to impose classical nodal boundary conditions. An illustration of the method and its computer implementation is presented via a 1D academic study.
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Erwan Kergourlay. Eléments finis en transformations finies à base d'ondelettes. Analyse numérique [math.NA]. Université de Bretagne Sud, 2017. Français. ⟨NNT : 2017LORIS472⟩. ⟨tel-01948571⟩

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