1 / 15

Adaptive Meshing using STAR-CCM+

Adaptive Meshing using STAR-CCM+. Weekly meeting – 05.12.2010 Victor Pépin. Plan. Curriculum Problem Software presentation Solution Results Next steps. Curriculum. Student at Ecole Centrale Paris French engineering school Non-specialized school 6 months internship in Manchester

vmolinar
Download Presentation

Adaptive Meshing using STAR-CCM+

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Adaptive Meshingusing STAR-CCM+ Weekly meeting – 05.12.2010 Victor Pépin

  2. Plan • Curriculum • Problem • Software presentation • Solution • Results • Next steps

  3. Curriculum • Student at Ecole Centrale Paris • French engineering school • Non-specialized school • 6 months internship in Manchester • February to mid-July

  4. Problem • How to improve the use of computation resources over the geometry of the simulation ? • Particularly, how to share resources relevantly, depending on the interest each area of the simulation represents ? • A solution : adaptive meshing

  5. Software presentation • Star-CCM+, v4.04.011 (CD-Adapco) • Allows the use of macros, written in Java • A macro is a list of instructions, forming an algorithm • It interacts with the software via the user interface • The software is seen like a “black box”

  6. Example of macro instructions // Define the simulation as a variable Simulation simulation_0 = getActiveSimulation(); // Define the Stopping Criterion as a variable StepStoppingCriterion stepStoppingCriterion_0 = ((StepStoppingCriterion) simulation_0. getSolverStoppingCriterionManager(). getSolverStoppingCriterion("Maximum Steps")); // Set the value of the Stopping Criterion to 1000 stepStoppingCriterion_0.setMaximumNumberSteps(1000); // Run the simulation simulation_0.getSimulationIterator().run();

  7. Solution Scheme 1/2 • Choose a quantity of interest, which will be the criterion of your refinement: e.g. velocity • Launch the simulation with a coarse mesh • Export a table containing the velocity in each cell of the mesh • Consider each cell, and compare its velocity with a reference velocity • Vref = Vmin + percentage x (Vmax – Vmin)

  8. Solution 2/2 • If V > Vref : • Create a box (Volume Shape), centred on the cell, whose size is approximately the size of the cell • Add the Volume Shape to a Source Volume • Set a smaller base size for the mesh upon the Source Volume • Re-mesh the simulation • Run the simulation • Repeat the process

  9. Results 1/3 • 2D lid-driven cavity test case • Re = 50 • Steady state of the flow

  10. Results 1/3

  11. Results 2/3 • 2D turbulent lid-driven cavity • Re = 15 000 • Establishing flow • The mesh follows the flow

  12. Results 3/3 • 3D cylinder • Re = 10 • Flow entering the pipe on the left

  13. Other features of the macro • Adapt easily to any case (shape, boundaries, type of mesh…) • Take user-defined field functions as a criterion for mesh refinement • Gradients, • Convergence between 2 times steps… • Refine the mesh considering several field functions

  14. Next steps • Measure the gains and loss of accuracy • Measure the benefits in terms of time, and memory

  15. The end • Thank you for listening !

More Related