Coupled Simulation With Two Coupling Approaches On Parallel Systems

Neda Ebrahimi Pour (Univ. of Siegen)

The reduction of noise is one of the challenging tasks in the field of engineering. The interaction between flow, structure, and an acoustic field involves multiple scales. Yet, their effect can be spatially separated into different domains, which then need to interact at their coupling interfaces. In this work mainly the different interpolation methods at the coupling interfaces are reviewed. The methods include the nearest-neighbor interpolation (1st order), the nearest-projection interpolation (2nd order), the radial-basis function (2nd order) as well as the direct evaluation of the state representation at the requested points. We show which interpolation method provides less error, when compared to the analytical solution of the result.

We present how the two coupling approaches preCICE and APESmate can be used. The coupling tool preCICE is based on a black box coupling, where just the point values at the surface of the coupling domains are known. In contrast APESmate has knowledge about the numerical schemes within the domain. Thus, preCICE needs to interpolate values, while APESmate can evaluate the high order polynomials of the underlying Discontinous Galerkin scheme. Hence, the preCICE approach is more generally applicable, while the APESmate approach is more efficient, especially in the context of high order schemes.