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Convergence And Robustness Issues In Computational Fluids, Xiaoqiang Zeng
Convergence And Robustness Issues In Computational Fluids, Xiaoqiang Zeng
Doctoral Dissertations
The present research develops two methods to improve the convergence and robustness of CFL algorithm, the triple time method and error- limited time step ramping method.
A general formulation of the triple time scheme is developed by introducing three pseudo time-marching steps to control three preconditionings for artificial dissipation, non-linear equation iteration convergence and linear equation iteration convergence separately. It is proven that the triple time method can be degenerated to the single time method and the multiple DDLGS iteration method at special cases.
Stability analysis is used to choose the optimum combination of three preconditionings from the steady preconditioning, …