| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 04045 | |
| Number of page(s) | 5 | |
| Section | MEA2020-Mechanical Engineering and Automation | |
| DOI | https://doi.org/10.1051/e3sconf/202123304045 | |
| Published online | 27 January 2021 | |
Parallel Computing for Numerical Analysis of a Fan Assembly Subjected to a SPH Bird
1 School of mechanical engineering, Shanghai Jiao Tong University, 200240 Shanghai, China
2 Department of Structural Design, Aerospace System Engineering, 201109 Shanghai, China
* Corresponding author: jxlong@sjtu.edu.cn
Smoothed Particle Hydrodynamics (SPH) is widely adopted to predict bird strike events. To improve the parallel computing efficiency of the SPH approach, parallel computing was performed on the process of a bird striking the fan assembly. Since the cube-shaped domains aligned along the coordinate axes that are inherent in the decomposition algorithm may result in low computational efficiency, the effect of customized data partitioning on the efficiency is investigated. The results show that customized decompositions can minimize communication between processors and ensure the load balance during the simulation process. Besides, distributed computing with domain decompositions can present reasonable predictions at soft-impact damage, achieving consistent results within a range of less than 7% of the reference data derived from shared memory computing.
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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