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The Performance of a Gradient-Based Method to Estimate the Discretization Error in Computational Fluid Dynamics
| Content Provider | MDPI |
|---|---|
| Author | Harinaldi, Satyadharma, Adhika |
| Copyright Year | 2021 |
| Description | Although the grid convergence index is a widely used for the estimation of discretization error in computational fluid dynamics, it still has some problems. These problems are mainly rooted in the usage of the order of a convergence variable within the model which is a fundamental variable that the model is built upon. To improve the model, a new perspective must be taken. By analyzing the behavior of the gradient within simulation data, a gradient-based model was created. The performance of this model is tested on its accuracy, precision, and how it will affect a computational time of a simulation. The testing is conducted on a dataset of 36 simulated variables, simulated using the method of manufactured solutions, with an average of 26.5 meshes/case. The result shows the new gradient based method is more accurate and more precise then the grid convergence index(GCI). This allows for the usage of a coarser mesh for its analysis, thus it has the potential to reduce the overall computational by at least by 25% and also makes the discretization error analysis more available for general usage. |
| Starting Page | 10 |
| e-ISSN | 20793197 |
| DOI | 10.3390/computation9020010 |
| Journal | Computation |
| Issue Number | 2 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-01-24 |
| Access Restriction | Open |
| Subject Keyword | Computation Mechanical Engineering Computational Fluid Dynamics Verification and Validation Discretization Error Uncertainty Quantification Grid Convergence Index |
| Content Type | Text |
| Resource Type | Article |
