|
Numerical Modeling of Geotechnical Centrifuge Based on CFD Method |
|
View Full Text View/Add Comment Download reader |
DOI:10.7643/issn.1672-9242.2022.10.015 |
KeyWord:geotechnical centrifuge CFD wind resistance power turbulence model SRF MRF |
Author | Institution |
SHAO Wen-bo |
Wuxi Institute of Applied Technology Tsinghua University, Jiangsu Wuxi , China |
REN Xiao-dong |
Key Laboratory of Thermal Science and Power Engineering, Ministry of Education, Department of Energy and Power Engineering, Tsinghua Universit, Beijing , China |
HU Bo |
Key Laboratory of Thermal Science and Power Engineering, Ministry of Education, Department of Energy and Power Engineering, Tsinghua Universit, Beijing , China |
|
Hits: |
Download times: |
Abstract: |
The paper aims to study the influence of turbulence model and rotation domain division on the numerical calculation of geotechnical centrifuge, and establish a numerical model suitable for the calculation of geotechnical centrifuge. A geotechnical centrifuge model with measured wind resistance moment is used in this paper. The SRF and the MRF method are used to model, and the standard k-ε, RNG k-ε and SST k-Omega turbulence models are selected to simulate operating condition of geotechnical centrifuge at different speeds. The wind resistance moment, flow field and temperature field distribution of geotechnical centrifuge are compared after calculation complete. It is found that the wind resistance moment obtained by standard k-ε and the SST k-Omega is larger than RNG k-ε because of former over-prediction of the turbulent viscosity. There is little difference of flow field and temperature field obtained by SRF and MRF at low and medium speeds, but the wind resistance moment obtained by SRF is closer to the experimental value. Finally, a more reliable numerical model was established for the calculation of the geotechnical centrifuge by comparing the experimental results, and the reason of the calculation error caused by the selection of the turbulence model was analyzed by comparing the flow field distribution, which provided an idea for the numerical simulation of the geotechnical centrifuge. |
Close |
|
|
|