Coupling and Simulation of Fluid-Structure Interaction Problems for Automotive Sun-roof on Graphics Processing Unit

TL;DR

This paper presents a GPU-accelerated coupled simulation approach for fluid-structure interaction in automotive sun-roofs, demonstrating efficient and accurate analysis of acoustic responses in complex car cavity environments.

Contribution

The paper introduces a GPU-based coupled fluid-structure simulation method for acoustic analysis of automotive sun-roofs, combining Krylov and domain decomposition techniques.

Findings

GPU acceleration improves simulation speed and robustness.

The coupled approach accurately predicts frequency response functions.

Numerical results validate the efficiency of the proposed methods.

Abstract

In this paper, the authors propose an analysis of the frequency response function in a car compartment, subject to some fluctuating pressure distribution along the open cavity of the sun-roof at the top of a car. Coupling of a computational fluid dynamics and of a computational acoustics code is considered to simulate the acoustic fluid-structure interaction problem. Iterative Krylov methods and domain decomposition methods, tuned on Graphic Processing Unit (GPU), are considered to solve the acoustic problem with complex number arithmetics with double precision. Numerical simulations illustrate the efficiency, robustness and accuracy of the proposed approaches.