Fluid-structure Interaction Simulation and Data-driven Modeling of Tube Bundle Based on OpenFOAM

Feng Zhipeng; Zhang Yixiong; Huang Xuan; Liu Shuai; Qi Huanhuan; Cai Fengchun

doi:10.13832/j.jnpe.2022.S2.0158

Volume 43 Issue S2

Dec. 2022

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Article Navigation > Nuclear Power Engineering > 2022 > 43(S2): 158-164

Feng Zhipeng, Zhang Yixiong, Huang Xuan, Liu Shuai, Qi Huanhuan, Cai Fengchun. Fluid-structure Interaction Simulation and Data-driven Modeling of Tube Bundle Based on OpenFOAM[J]. Nuclear Power Engineering, 2022, 43(S2): 158-164. doi: 10.13832/j.jnpe.2022.S2.0158

Citation:

Feng Zhipeng, Zhang Yixiong, Huang Xuan, Liu Shuai, Qi Huanhuan, Cai Fengchun. Fluid-structure Interaction Simulation and Data-driven Modeling of Tube Bundle Based on OpenFOAM[J]. Nuclear Power Engineering, 2022, 43(S2): 158-164. doi: 10.13832/j.jnpe.2022.S2.0158

Citation:

Feng Zhipeng, Zhang Yixiong, Huang Xuan, Liu Shuai, Qi Huanhuan, Cai Fengchun. Fluid-structure Interaction Simulation and Data-driven Modeling of Tube Bundle Based on OpenFOAM[J]. Nuclear Power Engineering, 2022, 43(S2): 158-164. doi: 10.13832/j.jnpe.2022.S2.0158

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Fluid-structure Interaction Simulation and Data-driven Modeling of Tube Bundle Based on OpenFOAM

doi: 10.13832/j.jnpe.2022.S2.0158

Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2022-07-20
Rev Recd Date: 2022-09-26
Publish Date: 2022-12-31

Abstract

Abstract

In order to realize the application of open-source tool OpenFOAM in the prediction of tube bundle fluid-structure interaction, in view of the lack of comprehensive benchmark cases for large eddy simulation verification in OpenFOAM, the lack of parameter identification methods and data-driven modeling methods based on OpenFOAM simulation data, this study first quantitatively compares the performance of large eddy simulation in OpenFOAM by studying benchmark problems, focusing on the effects of statistical time length, size and shape of calculation domain, meshing method, and wall function on the results, and verifies the numerical results with experimental data to obtain a reasonable flow field analysis model; Then, this study couples the motion equation with the flow field calculation, solves the unsteady Navier-Stokes (uRANS) equation with moving boundary, realizes the fluid-structure interaction simulation of the tube bundle, and successfully captures the fluid-structure interaction characteristics of the tube bundle. Taking the flow-cell model as an example, this study realizes the key parameter identification and data-driven modeling. The results show that at least 180 vortex shedding cycles are required to achieve statistical convergence in large eddy simulation; The lift and recirculation length are sensitive to the grid resolution, while the vortex shedding frequency and cylinder surface pressure are sensitive to the calculation domain; For the statistical distribution of the wake zone, the effect of grid resolution is more significant, the effect of the shape of the calculation domain can be ignored, and the critical velocity calculated by data-driven modeling is in good agreement with the experimental data.
- Fluid-structure interaction,
- Large eddy simulation,
- OpenFOAM,
- Tube bundle

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References(10)

References

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