A gust simulation and modeling capability will support the aircraft certification process and therefore reduces the development cost. Two different gust modeling techniques are considered in this article: 1) a user-defined boundary condition available in the commercial flow solver of Cobalt and 2) a field-velocity method implemented in the open-source flow solver of FlowPsi. Specifically, this article describes implementation of gust models in the FlowPsi code including a new time-stepping scheme and a new grid-motion capability that could be used in the simulation of responding vehicles to wind gusts. In more detail, the three stage time-stepping scheme, as here developed, provides much better convergence properties than the Crank–Nicolson scheme available in the code. The grid motion using an external code, as here implemented, is a part of larger development plans to make FlowPsi communicate with external processes such as a finite element code. In addition, the FlowPsi code uses a field-velocity approach to simulate the wind gust which offers a reduced computational expense for simulating wind gust responses when compared to Cobalt. Instead of propagating the gust perturbation from the far inflow boundary as used in Cobalt, an artificial velocity profile is imposed on the grid cells to induce the gust effects on the vehicle. This article aims to determine the accuracy of FlowPsi in predicting gust responses when compared to Cobalt which has already been verified to produce accurate results. The two methods in different codes are compared for a number of gust profiles such as one-minus-cosine, step (sharp-edged), and a random gust profile. FlowPsi shows close convergence and agreement to Cobalt predictions for smooth gust profiles such as the one-minus-cosine, however, the code produces a numerical oscillation pattern at low free-stream Mach numbers when modeling gusts with a rapid change of velocity such as the step gust.
Read full abstract