An inverse problem for estimating effective parameters in asymptotic elastodynamics with non-periodic roughness
Published in Book of Abstracts, The 17th International Conference on Mathematical and Numerical Aspects of Wave Propagation (WAVES 2026), 2026
We consider the problem of elastic wave propagation in a two-dimensional domain where part of the boundary is defined by a non-periodic rough perturbation. We assume that the maximum amplitude of this perturbation is small compared to the minimum wavelength. Standard discretization procedures in this context can be computationally intensive. Therefore, we seek an approximate model whose numerical complexity is robust with respect to this roughness. In this context, asymptotic expansions are well-known tools for providing effective models. Although a priori estimates exist for certain cases, most asymptotic models suffer from a modeling error proportional to the amplitude of the perturbation. In our work, we aim to reduce this modeling error by introducing a modification of the effective coefficients in the boundary condition. This modification is automatically adjusted by solving an inverse problem formulated as a minimization problem. In this minimization procedure, the data fidelity term is informed by synthetic data generated from a single run of the complete model. We il- lustrate our approach with two-dimensional numerical simulations.
Recommended citation: R. Zelada, A. Imperiale, and P. Moireau, “An inverse problem for estimating effective parameters in asymptotic elastodynamics with non-periodic roughness,” in Book of Abstracts, The 17th International Conference on Mathematical and Numerical Aspects of Wave Propagation (WAVES 2026), 2026.
Download Paper
