Coupled Simulation with Two Coupling Approaches on Parallel Systems

Neda Ebrahimi Pour (), Verena Krupp (), Harald Klimach () and Sabine Roller ()
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Neda Ebrahimi Pour: University of Siegen
Verena Krupp: University of Siegen
Harald Klimach: University of Siegen
Sabine Roller: University of Siegen

A chapter in Sustained Simulation Performance 2017, 2017, pp 151-164 from Springer

Abstract: Abstract 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. Simulating the whole domain with one solver is not feasible and out of range on todays supercomputer. Since the involving physics appear on different scales, the effects can be spatially separated into different domains. The interaction between the domains is realised with coupling approaches via boundaries. Different interpolation methods at the coupling interfaces are reviewed in this paper. The methods include the Nearest-Neighbor Interpolation (first order), the Radial-Basis Function (second order) as well as the direct evaluation of the state representation at the requested points (arbitrary order). We show which interpolation method provides less error, when compared to the monolithic solution of the result. We present how the two coupling approaches p r e C I C E and A P E S m a t e can be used. The coupling tool p r e C I C E is based on a black box coupling, where just the point values at the surface of the coupling domains are known. In contrast A P E S m a t e has knowledge about the numerical schemes within the domain. Thus, p r e C I C E needs to interpolate values, while A P E S m a t e can evaluate the high order polynomials of the underlying Discontinous Galerkin scheme. Hence, the p r e C I C E approach is more generally applicable, while the A P E S m a t e approach is more efficient, especially in the context of high order schemes.

Date: 2017
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DOI: 10.1007/978-3-319-66896-3_10

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