High-speed rotorcrafts technology trainning
JAXA Supercomputer System Annual Report April 2020-March 2021
Report Number: R20ETET04
Subject Category: Skills Acquisition System
- Responsible Representative: Kaito Hayami, Graduate student, Tokyo University of Agriculture and Techonology
- Contact Information: Kaito Hayami(k-hayami@st.go.tuat.ac.jp)
- Members: Yasutada Tanabe, Hideaki Sugawara, Kaito Hayami, Yusuke Hamamoto
Abstract
Analysis of the Effect of Lift Offset on Aerodynamical Characteristics of a Coaxial Rotor
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
In order to perform a rotorcraft analysis tool.
Achievements of the Year
Numerical analyses are performed using a rotorcraft CFD tool to research a coaxial rotor utilized in the next-generation rotorcraft. These numerical analyses aim to elucide the effect of rotor parameters on the aerodynamic performance of a coaxial rotor. The numerical results suggest that a rotor parameter, lift offset improves the rotor aerodynamic performance. Lift offset setting depending on the flight conditions can optimize the rotor efficiency. This effect is achieved by a slight increase in rotor drag and a huge reduction of rotor power.
Publications
– Non peer-reviewed papers
Hayami, K., Sugawara, H., Tanabe, Y., and Kameda, M., “Analysis of the Effect of Lift Offset on Aerodynamical Characteristics of a Coaxial Rotor.”, 58th Aircraft Symposium, (2020).
– Oral Presentations
Hayami, K., Sugawara, H., Tanabe, Y., and Kameda, M., “Analysis of the Effect of Lift Offset on Aerodynamical Characteristics of a Coaxial Rotor.”, 58th Aircraft Symposium, (2020).
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 140 Hour(s)
Resources Used(JSS2)
Fraction of Usage in Total Resources*1(%): 0.06
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 | 34,240.92 | 0.27 |
SORA-LM | 0.00 | 0.00 |
SORA-TPP | 22,762.70 | 2.15 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 287.27 | 0.26 |
/data | 12,292.40 | 0.24 |
/ltmp | 2,280.92 | 0.19 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.00 | 0.00 |
*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(%): 0.09
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 | 131,684.72 | 0.75 |
TOKI-TRURI | 699.53 | 0.06 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 287.27 | 0.20 |
/data | 13,180.19 | 0.22 |
/ssd | 546.60 | 0.29 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.00 | 0.00 |
*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