Innovation for Design, Data-acquisition, Trouble-shoot and Certification in Aircraft Development: Aerodynamic Optimization
JAXA Supercomputer System Annual Report April 2017-March 2018
Report Number: R17EA3202
Subject Category: Aeronautical Technology
- Responsible Representative: Takeshi Ito, Aeronautical Technology Directorate, Next Generation Aeronautical Innovation Hub Center
- Contact Information: Shigeru Kuchi-Ishi shigeruk@chofu.jaxa.jp
- Members: Shigeru Kuchiishi, Takashi Ishida, Atsushi Hashimoto, Masahiro Kanazaki, Suzuki Kohji, Takatoshi Nakayama, Minoru Yoshimoto, Shinsuke Nishimura, Yukinori Morita, Takuya Ogura, Kazufumi Uwatoko
Abstract
An aerodynamic optimization tool using the unstructured CFD code FaSTAR is develped and its validity and efficiency are examined. A Multi-Objective Evolutionary Algorithm (MOEA) is employed as an aerodynamic optimization method. This tool is aimed to enable the direct evolutionary computing to perform within a practical computational time by utilizing the high speed performance of FaSTAR. In the present project, basic programs are developed and validated using JSS2.
Reference URL
N/A
Reasons for using JSS2
Aerodynamic optimization using an evolutionary algorithm requires a number of high-fidelity and large-scaled computations (3D RANS analysis) and needs to use the supercomputer.
Achievements of the Year
For the Multi-Objective Evlutionary Algorithm (MOEA), the program was extended to the Non-dominated Sorting Genetic Algorithms-II (NSGA-II) that enables to produce more equable and diversified parate-optimal solutions. Also the directed mating algorithm was introduced to enhance robustness of the program for problems including constraint conditions. The program was applied to a constrained optimization problem for the NASA Common Research Model (CRM) and it was found that the present program can produce optimal solutions more effectively compared to the foregoing program.
Publications
■ Presentations
1) Kanazaki, M., Kuchi-Ishi, S., and Suzuki K., “Development of an Aerodynamic Optimization Library by Evolutionary Algorithm,” FaSTAR User’s Conference, Akihabara Convention Hall, 2017.
Usage of JSS2
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 96 – 512
- Elapsed Time per Case: 240.00 hours
Resources Used
Fraction of Usage in Total Resources*1(%): 0.10
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 | 356,995.84 | 0.05 |
SORA-PP | 55,829.90 | 0.70 |
SORA-LM | 0.02 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 587.53 | 0.41 |
/data | 24,481.17 | 0.45 |
/ltmp | 8,646.34 | 0.65 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.32 | 0.01 |
*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 2017-March 2018