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DeepFlame v0.3.0
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@pkuLmq pkuLmq released this 29 Aug 02:17
· 1048 commits to master since this release
v0.3.0
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Learn about vigilant mode.

Deepflame v0.3.0 is a pre-release version and the following developments are included:

  • Added adaptive mesh refinement (the library is based on SOFTX_2018_143 ). The codes are located in src/dynamicMesh and src/dynamicFvMesh. This work aims to realize 1D, 2D and 3D AMR. The gif below is the variation of p over time in the case of 1D detonation.
    AMR_1D_gif
    As the result shown in the table below, the computational speedup in this 1D detonation case is significant when using AMR and the required time is reduced to almost 1/10 of the original when combined with DLB.
    table

  • Added two LES turbulent models: dynamicSmagorinsky (ref) and Sigma (ref)

  • Adapted functionObjects/field library to avoid duplicate entry

  • Add case reactiveShockTube as new example for dfHighSpeedFoam

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