Five questions about the computational grid

: Last Updated: 10 August 2021

Article Index

Page 2 of 6

HOW TO CONSTRUCT A COMPUTATIONAL GRID IN FLOWVISON?

Generating the initial grid in FlowVision is easy. The grid is constructed automatically in accordance with the specified parameters which can be either the number of lines of uniform division in each Cartesian direction, or the cell size and the position of refinement lines for higher grid density.

You can see the ease of meshing in FlowVision for yourself in this vi deo about working with the Initial Mesh Editor.

After building the initial mesh, adaptations can be used to refine it locally in order to improve the accuracy of the results. Alternatively, a boundary-layer grid can be applied: it is constructed based on the mesh present at the time of construction and then does not change throughout the simulation.

For local and parallel (MPI) computations, building the initial mesh requires different approaches

For calculations on a local computer, you can set a coarse initial grid, and then locally refine it during the calculation process. However, this means that in order to achieve the appropriate cell size near surfaces, a high level of adaptation (6-8) may be required.

For calculations via MPI, on the contrary, it is recommended to set a finer initial grid and then use an adaptation of no more than 3-4 levels. This is due to the fact that the distribution of the computational grid among processors is performed along the initial grid. Local refinement may then fall into one processor, resulting in an uneven load distribution among the processors which will slow down the parallel computation. Even so, FlowVision has a dynamic balancing function that reallocates cells across processors, ensuring that they have the same degree of utilization.

Five questions about the computational grid

Article Index

HOW TO CONSTRUCT A COMPUTATIONAL GRID IN FLOWVISON?

About FlowVision

Customer support

Contacts

FV in social networks