Convergence acceleration by varying time-step size using Bi-CGSTAB method for turbulent flow computation

A design of varying step size approach both in time span and spatial coordinate systems to achieve fast convergence is demonstrated in this study. This method is based on the concept of minimization of residuals by the Bi-CGSTAB algorithm, so that the convergence can be enforced by varying the time-step size. The numerical results show that the time-step size determined by the proposed method improves the convergence rate for turbulent computations using advanced turbulence models in low Reynolds-number form, and the degree of improvement increases with the degree of the complexity of the turbulence models. © 2001 John Wiley & Sons. Inc.