Evaluation of Computational Algorithms Suitable for Fluid-Structure Interactions

This is the authors' abstract. We don't add key points for this paper.

The objective was to identify and mathematically evaluate suitable methods to transfer information between nonlinear computational fluid dynamics (CFD) and computational structural dynamics (CSD) grids. This data transfer is vital in the field of computational aeroelasticity, where the interpolation method between the two grids can easily be the limiting factor in the accuracy of an aeroelastic simulation. The data to be transferred can include a variety of field variables, such as deflections, loads, pressure, and temperature. For a method to be suitable, it is important that it provide a smooth, yet accurate transfer of data for a wide variety of functional forms that the data may represent. An extensive literature survey was completed that identified current algorithms in use, as well as other candidate algorithms from different implementations, such as mapping and CAD/CAM. The performance of the various methods was assessed on a number of analytical functions, followed by a series of applications that have been or are currently being studied using nonlinear CFD methods coupled with linear representations of the CSD equations (equivalent plate/shell mode shapes and influence coefficient matrices). Two methods, multiquadric-biharmonic and thin-plate spline, are shown to be the most robust, cost-effective, and accurate of all of the methods tested.