Analysis of Turbulent Structures Based on Large Eddy Simulation in Rod Bundle Channels With Mixing Vanes

Abstract The refinement of thermal-hydraulic calculations for reactors is crucial for both the economy and safety of reactors. However, the spacer grids and mixing vanes will affect the turbulence and vortices. In particular, the prediction of near-wall turbulence using computational fluid dynamics (CFD) is more difficult due to the strong shear stress and anisotropic properties near the coolant channel walls. By studying the turbulent coherent structures in the core coolant channel, it is possible to better predict the turbulent flow and obtain more accurate core thermal-hydraulic parameters. This paper focuses on the experimental objects of AFA-2G spacer grids and mixing vanes and establishes a model that meets the requirements of Large Eddy Simulation (LES) to study turbulent structures. The parameters of the flow field acquired from LES were in good agreement with the experimental results. By comparing with the Reynolds time-averaged model, it was found that its mean field is more accurate. This paper quantitatively analyzed the anisotropic characteristics of coherent structures and visualizes their spatial distribution using barycentric map. The visualization of vortices was performed using Ω criterion, and the dynamic analysis of vortices was conducted to investigate the effects of spacer girds and mixing vanes on the generation and evolution of vortices, as well as their mutual interactions.

Authors

Institutions

Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1115/icone31-135545
Primary Topic
Heat transfer and supercritical fluids
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Turbulent Structures Based on Large Eddy Simulation in Rod Bundle Channels With Mixing Vanes

Lixuan Zhang, Hao Qian, Yuhang Zhang, Zhaofei Tian et al.
Heat transfer and supercritical fluids
article

Analysis of Turbulent Structures Based on Large Eddy Simulation in Rod Bundle Channels With Mixing Vanes

Lixuan Zhang, Hao Qian, Yuhang Zhang, Zhaofei Tian, Guangliang Chen
article en

Abstract

Abstract The refinement of thermal-hydraulic calculations for reactors is crucial for both the economy and safety of reactors. However, the spacer grids and mixing vanes will affect the turbulence and vortices. In particular, the prediction of near-wall turbulence using computational fluid dynamics (CFD) is more difficult due to the strong shear stress and anisotropic properties near the coolant channel walls. By studying the turbulent coherent structures in the core coolant channel, it is possible to better predict the turbulent flow and obtain more accurate core thermal-hydraulic parameters. This paper focuses on the experimental objects of AFA-2G spacer grids and mixing vanes and establishes a model that meets the requirements of Large Eddy Simulation (LES) to study turbulent structures. The parameters of the flow field acquired from LES were in good agreement with the experimental results. By comparing with the Reynolds time-averaged model, it was found that its mean field is more accurate. This paper quantitatively analyzed the anisotropic characteristics of coherent structures and visualizes their spatial distribution using barycentric map. The visualization of vortices was performed using Ω criterion, and the dynamic analysis of vortices was conducted to investigate the effects of spacer girds and mixing vanes on the generation and evolution of vortices, as well as their mutual interactions.

Harbin Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Heat transfer and supercritical fluids
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.