On Sampling Methods for Inverse Biharmonic Scattering Problems in Supported Plates
This work addresses a specific inverse scattering problem in elasticity, providing incremental improvements in stability and efficiency for domain-specific applications.
The paper tackled the inverse problem of recovering a cavity in a supported elastic plate using far-field measurements, deriving theoretical foundations and showing that both linear and direct sampling methods robustly recover the obstacle's location and convex hull, with direct sampling offering improved stability and reduced computational cost.
We study the inverse problem of qualitatively recovering a supported cavity in a thin elastic plate governed by the flexural (biharmonic) wave equation, using far-field pattern measurements. We derive a reciprocity principle and a factorization of the far-field operator for the supported plate boundary conditions, and we analyze its range properties to justify both the linear sampling method (LSM) and the direct sampling method (DSM). Numerical experiments assess the performance of LSM and DSM under noise, a limited amount of data, multiple scattering, and variations in the Poisson's ratio. The results show that both methods robustly recover the obstacle's location and convex hull, with DSM offering improved stability and reduced computational cost.