The high-order and robustness of our algorithm are illustrated by considering two-dimensional airfoil problems with different geometrical configurations and different free-stream configurations.
Accuracy, second-order grid convergence and robustness of the method is demonstrated for several test cases: inclined channel flow at Re = 20, flow over a square cylinder at Re = 100, flow over a circular cylinder at Re = 40, Re = 100 and Re = 3900, as well as turbulent channel flow with periodic constrictions at Re = 10,595.
In order to demonstrate the effectiveness and robustness of the framework, we choose medical and texture images as examples.
Furthermore, numerically simulated measurement errors, based on Gaussian distribution, are also considered in order to verify the stability and robustness of the methodology.
In order to verify the accuracy and robustness of the proposed method we compare the results between this splitting velocity-pressure algorithm and the coupled one.
In order to improve the efficiency and robustness of the TLISMNI method, the simple iteration and the Jacobian-Free Newton−Krylov approaches are used in this investigation.
In order to evaluate the effectiveness and robustness of this mechanism, this study employs micro- and macro-simulation experiments to confer and analyze its performance.
In order to demonstrate the abilities and robustness of the Variation of Reference Strategy several numerical examples considering different kind of materials are presented.
In order to evaluate the stability and robustness of this mixed fuzzy controller, the state-space approach of fuzzy control systems stability analysis is employed for further expansion.
The aggregate model can be applied in a sequence of steps in order to improve the reliability and robustness of the solution procedure.
In order to evaluate the performance and robustness of this identification technique, the sensitivity to noise and error in grid positioning is investigated numerically.
