Regularizing sequential subspace optimization for the identification of the stored energy of a hyperelastic structureMS6

We consider the nonlinear dynamic inverse problem of identifying the stored energy function of hyperelastic materials from surface sensor measurements. In connection with the detection of damages in structures consisting of such materials this task is highly interesting since all mechanical properties are hidden in the stored energy function. This problem has already been solved using the attenuated Landweber method. Since this process is extremely time-consuming, we use sequential subspace optimiziation as a regularization technique.

This presentation is part of Minisymposium “MS6 - Time-dependent problems in imaging (2 parts)
organized by: Thomas Schuster (Saarland University) , Anne Wald (Saarland University) .

Rebecca Klein (Saarland University)
inverse problems, parameter identification, regularization methods