Recent Progresses in Verification, Validation and Uncertainly Analysis in Computational Fluid Dynamic

Verification and validation (V&V) are indispensable tools to evaluate the accuracy and reliability in computational simulations. This paper highlights guidelines, related works, as well as recent progresses for evaluating the credibility of model and simulation in computational fluid dynamics (CFD). Herein, detailed definitions of V&V that aims to help researchers to distinguish between the term verification and the term validation, define the conceptual sources of error and uncertainty as well as understanding the difference between them. Then, we discuss related works to V&V for CFD simulations, the most useful methodologies and algorithms have been introduced, problems have been faced as well as solutions has been proposed. Finally, an outlook and perspectives for future challenges in V&V for CFD Simulation have been proposed. For verification assessment, in order to assure the accuracy, the computational solution is compared with an analytical solution or a highly accurate solution. The main strategy of validation is to reflect the accuracy between the computational results and the experimental data, as well as the quantification and estimation of both error and uncertainty. It is hoped from this review to help in research, development as well as the use of CFD simulations by establishing robust methodologies and terminologies for V&V.