Investigation of Fluid-Structure Interaction in Aerodynamic Flows using Coupled Computational Methods

Fluid-structure interaction is a challenging problem in computational fluid dynamics and has gained significant attention in recent years. In this review paper, we investigate the fluid-structure interaction in aerodynamic flows using coupled computational methods. We begin by providing an overview of the background and motivation for this study. We then discuss the different computational methods used to simulate fluid-structure interaction and review recent advances in coupled computational methods. Next, we derived the governing equations for fluid and structure mechanics and describe the numerical methods used to solve the coupled equations. Finally, we summarize the main findings of the study and provide suggestions for future research.

I. Introduction

Fluid-Structure Interaction (FSI) refers to the dynamic interaction between a fluid flow and a solid structure that it is in contact with. FSI is a critical area of study in aerodynamics as it plays a vital role in the behavior and performance of many aerospace systems, such as aircraft wings, helicopter rotors, and wind turbines. In the context of aerodynamic flows, coupled computational methods are used to simulate FSI. These methods involve solving the equations of fluid motion (Navier-Stokes equations) and the equations of structural mechanics simultaneously. The fluid and structure domains are treated as separate entities and are coupled using interface boundary conditions. The computational fluid dynamics (CFD) solver computes the fluid flow, while the computational structural mechanics (CSM) solver computes the structural deformation. The use of coupled computational methods for FSI simulations offers several advantages over traditional experimental methods. Firstly, it allows for detailed insight into the complex interaction between the fluid and structure, which is difficult to achieve experimentally. Secondly, it enables the optimization of system design parameters and reduces the need for expensive and time-consuming physical testing. However, the use of coupled computational methods for FSI simulations also presents several challenges. These challenges include the need for high-performance computing resources, the need for accurate numerical methods, and the need for robust and efficient coupling algorithms.