Volume 49 Issue 6
Jun.  2023
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TAN J F,HAN S,WANG C,et al. Accelerated computational method of helicopter brownout based on DEM[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(6):1352-1361 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0450
Citation: TAN J F,HAN S,WANG C,et al. Accelerated computational method of helicopter brownout based on DEM[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(6):1352-1361 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0450

Accelerated computational method of helicopter brownout based on DEM

doi: 10.13700/j.bh.1001-5965.2021.0450
Funds:

National Natural Science Foundation of China (12172165); Natural Science Foundation of Jiangsu Province (BK20211259); Rotor Aerodynamics Key Laboratory Foundation (RAL20200302); Outstanding Young Backbone Teacher Project of Jiangsu Qinglan Project 

More Information
  • Corresponding author: E-mail:Jianfengtan@njtech.edu.cn
  • Received Date: 09 Aug 2021
  • Accepted Date: 27 Aug 2021
  • Publish Date: 16 Sep 2021
  • Numerical simulation of helicopter brownout is a major analysis method to investigate the evolution characteristics of helicopter brownout. However, the sand cloud is composed by many sand particles with complex characteristics resulting in a large computational cost. Based on a discrete element method (DEM) and dynamic equations of sand particles, a background grid mapping-splitting model is proposed, where sand particles are mapped in background grids to accelerate the numerical simulation and the background grids are divided into several zones to reaccelerate the numerical simulation. Coupling the model with contact model of particle-particle interaction, model of particle-fluid interaction, model of rotor/ground unsteady flow, an accelerated computational method of helicopter brownout based on DEM is established, and is compared with the flight test of US Army EH-60L brownout in an approaching flight. The results show that the present numerical method has ability to accurately capture the process of helicopter brownout. Compared to the numerical simulation with direct method, the present computational cost is significantly reduced. Additionally, the computational cost of the direct method increases as a parabola, whereas that of the present method is a linear growth. The computational cost of the present method is reduced by 70.29% when compared with the just background mapping method for a 1×107 particles case.

     

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