CFD Events Calendar, Event Record #29789
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Large-Eddy Simulation Detached-Eddy & Simulations using an in-House Python source code: an Online course on Zoom
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During the course, the participants will learn and work with an in-house LES/DES code called pyCALC-LES, written by the lecturer. It is a finite volume code written in Python.
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| Date: |
June 28, 2021 - July 2, 2021
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| Location: |
Sweden
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| Web Page: |
http://www.cfd-sweden.se/
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| Contact Email: |
lada@flowsim.se
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| Organizer: |
Lars Davidson
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| Application Areas: |
General CFD
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| Special Fields: |
Turbulence - Hybrid RANS-LES Methods
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| Softwares: |
Python
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| Type of Event: |
Course, International
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| Description: |
Unfortunately, most engineers and many researchers have limited knowledge of what a LES/DES CFD code is doing. The object of this on-line course is to close that knowledge gap. During the course, the participants will learn and work with an in-house LES/DES code called pyCALC-LES, written by the lecturer. It is a finite volume code written in Python. Currently, it includes two zero-equation SGS models (Smagorinsky and WALE) and two two-equation model (the PANS model and the k-omega DES moddl). It is rather small (1600 lines). The numerical procedure is based on an implicit, fractional step technique with pyamg -- an AMG multigrid pressure Poisson solver -- and a non-staggered grid arrangement.
The Python code is fully vectorized and it only includes two DO-loops (the time loop and the global iteration loop). It is reasonably fast. Up to now, it has been used to compute the following three flows:
- Channel flow. DNS (Reτ=500) using a 96x96x96 mesh. 20 000 timesteps (10 000 to reach fully-developed conditions
+ 10 000 for time-averaging). The CPU time on a PC is 11 hours
- Channel flow. DES (Reτ=5200) with a k-omega-DES model using a 32x96x32 mesh.
20000 timestep (10000 + 10000). The CPU time on a PC is 3.5 hours.
- Periodic hill flow. DES (Re=10500) wtth a k-omega-DES model using a 160x80x32 mesh. 20000 timestep (10000 + 10000).
The CPU time on a PC is 9.5 hours.
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Event record first posted on November 12, 2020, last modified on November 19, 2020
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