Ester Creixell Mediante (DTU/Oticon) presents An adaptive model order reduction technique for optimization of vibroacoustic problems”. See abstract below.
Finite Element models of complex structural-acoustic coupled systems can require a large number of degrees of freedom in order to capture their physical behaviour. This is the case when modelling hearing aid devices, where the strong interaction between the light-weight parts and the inner and outer air can lead to unexpected acoustic-mechanical feedback paths. Parametric optimization can be used to obtain the desired vibroacoustic response of the device during the design phase; however, it becomes highly time consuming for large systems since the model must be solved iteratively for multiple frequencies at different parameter values. Parametric Model Order Reduction (pMOR) techniques aim at reducing the computational cost associated with each solve by projecting the full system into a reduced space; however, most of the existing techniques require solving the system at a sample of parameter values previous to the optimization in order to build a suitable projection basis, which can also become highly time consuming. In this work, we present an adaptive pMOR technique where the projection basis is updated on-the-fly during the optimization, based on an error estimator. The performance of the proposed method is evaluated for a 4-parameter optimization of a simplified hearing aid model, where the total time is reduced by a factor of 50 compared to using the full system.