Frequency range non-Lipschitz parametric optimization of a noise absorption - Hub Intelligence Artificielle de CentraleSupélec
Preprints, Working Papers, ... Year : 2024

Frequency range non-Lipschitz parametric optimization of a noise absorption

Abstract

In the framework of the optimal wave energy absorption, we solve theoretically and numerically a parametric shape optimization problem to find the optimal distribution of absorbing material in the reflexive one defined by a characteristic function in the Robin-type boundary condition associated with the Helmholtz equation. Robin boundary condition can be given on a part or the all boundary of a bounded (ε, ∞)-domain of R n . The geometry of the partially absorbing boundary is fixed, but allowed to be non-Lipschitz, for example, fractal. It is defined as the support of a d-upper regular measure with d ∈]n -2, n[. Using the well-posedness properties of the model, for any fixed volume fraction of the absorbing material, we establish the existence of at least one optimal distribution minimizing the acoustical energy on a fixed frequency range of the relaxation problem. Thanks to the shape derivative of the energy functional, also existing for non-Lipschitz boundaries, we implement (in the two-dimensional case) the gradient descent method and find the optimal distribution with 50% of the absorbent material on a frequency range with better performances than the 100% absorbent boundary. The same type of performance is also obtained by the genetic method.

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Dates and versions

hal-04691541 , version 1 (08-09-2024)

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Frederic Magoules, Mathieu Menoux, Anna Rozanova-Pierrat. Frequency range non-Lipschitz parametric optimization of a noise absorption. 2024. ⟨hal-04691541⟩
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