Laminar-turbulent transition simulation in aFJR High efficiency fan technology development
JAXA Supercomputer System Annual Report April 2020-March 2021
Report Number: R20EA2180
Subject Category: Aeronautical Technology
- Responsible Representative: Tatsuya Ishii, Aeronautical Technology Directorate, Propulsion Research Unit
- Contact Information: Shunji ENOMOTO(enomoto.shunji@jaxa.jp)
- Members: Shunji Enomoto
Abstract
One of the goals of the aFJR project is to reduce the fuel consumption of aero-engines. In the aFJR project, we have attempted to estimate the transitions in the boundary layer of the fan blade surface using LES analysis. This year, in order to reduce the computational load, a trial calculation of a method to reduce the computational domain by using sponge boundaries was performed.
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
The numerical simulation for predicting the turbulent flow transition is difficult to execute without a supercomputer due to the large amount of calculation.
Achievements of the Year
The target of the calculation is the shape of a single blade installed in a wind tunnel. Until last year, we used a grid that simulated the entire wind tunnel as shown in Fig. 1. Fig. 2 shows the location of the sponge boundary and the distribution of the flow field. The gray grid shows the actual calculation area. Fig. 3 shows the results of the calculation under these conditions. The sponge boundary and the computational domain are almost perfectly connected, which shows that the calculation can be done in this way.
Fig.1: conventional computing domain
Fig.2: Sponge boundary and flow distribution
Fig.3: the result of sponge boundary method
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: OpenMP
- Number of Processes: 36
- Elapsed Time per Case: 120 Hour(s)
Resources Used(JSS2)
Fraction of Usage in Total Resources*1(%): 0.08
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
| System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
|---|---|---|
| SORA-MA | 0.00 | 0.00 |
| SORA-PP | 66,428.16 | 0.52 |
| SORA-LM | 0.00 | 0.00 |
| SORA-TPP | 26,269.70 | 2.48 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 9.72 | 0.01 |
| /data | 3,192.61 | 0.06 |
| /ltmp | 638.52 | 0.05 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 11.02 | 0.36 |
*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
Resources Used(JSS3)
Fraction of Usage in Total Resources*1(%): 0.00
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
| System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
|---|---|---|
| TOKI-SORA | 0.00 | 0.00 |
| TOKI-RURI | 0.00 | 0.00 |
| TOKI-TRURI | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 12.98 | 0.01 |
| /data | 5,696.62 | 0.10 |
| /ssd | 566.38 | 0.30 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 11.02 | 0.36 |
*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report April 2020-March 2021