Aeroelastic Analysis for Helicopter Rotor Blades
JAXA Supercomputer System Annual Report February 2025-January 2026
Report Number: R25EDA201E20
Subject Category: Aeronautical Technology
- Responsible Representative: Kanako Yasue, Aviation Technology Directorate, Aviation Integration Innovation Hub
- Contact Information: Hideaki Sugawara(sugawara.hideaki@jaxa.jp)
- Members: Tomoya Karasawa, Kohei Konishi, Hideaki Sugawara, Kazuma Tsujimura, Yuuka Tsurumaki, Shunsuke Takeuchi
Abstract
Aeroelastic deformation of helicopter rotor blades plays a significant role in vibration and noise generation. Accurate prediction of these effects through numerical simulation is essential in rotorcraft development. The objective of this study is to improve the prediction accuracy of aeroelastic deformation in rotor blades. This study focuses on developing methods for estimating blade structural properties and numerical simulation techniques to accurately predict aeroelastic deformation.
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
Supercomputer is required to capture the detailed vortex structures around the rotor blades.
Achievements of the Year
CFD/CSD analyses, as shown in Fig. 1, were performed using blade structural properties derived from static load tests. Based on the test results, the in-plane and torsional stiffness, as well as the elastic axis, were updated from the original design values. The simulation results were compared with blade elastic deformation measured in wind tunnel tests. The results indicate that the use of revised structural properties improves the prediction accuracy of elastic deformation in the CFD/CSD analyses.
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 336 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.15
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
| System Name | CPU Resources Used(Core x Hours) | Fraction of Usage*2(%) |
|---|---|---|
| TOKI-SORA | 314962.72 | 0.01 |
| TOKI-ST | 1226164.24 | 1.27 |
| TOKI-GP | 0.00 | 0.00 |
| TOKI-XM | 0.00 | 0.00 |
| TOKI-LM | 0.00 | 0.00 |
| TOKI-TST | 0.00 | 0.00 |
| TOKI-TGP | 0.00 | 0.00 |
| TOKI-TLM | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 0.00 | 0.00 |
| /data and /data2 | 102400.00 | 0.67 |
| /ssd | 0.00 | 0.00 |
| 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.
ISV Software Licenses Used
| ISV Software Licenses Used(Hours) | Fraction of Usage*2(%) | |
|---|---|---|
| ISV Software Licenses(Total) | 82.15 | 0.06 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2025-January 2026

