OpenFOAM data for a circular cylinder wake flow (Re=3900)
收藏DataCite Commons2025-05-16 更新2025-05-18 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/6LG9AS
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资源简介:
The current dataset contains numerical results from openfoam simulation of a cylinder wake at reynolds number Re=3900. The geometry has been constructed using blockMesh followed by snappyHexMesh tools : the 3D domain is a [0:20]x[-10:10]x[0:3.14] box crossed by a Z axis cylinder centered at Ccyl=(5,0) with a radius Rcyl=0.5. As for the simulation, the pimpleFoam solver of openfoam 21.12 has been used, followed with parafoam for post treatment visualization, and ITHACA-FV for POD The code has been run on a cluster with almost 28 CPUs with commands like : RUNNING (LES) decomposePar -decomposeParDict system/decomposeParDict -force mpirun -n 28 pimpleFoam -parallel mpirun -n 28 redistributePar -parallel -reconstruct -overwrite POST treatment In current directory, Iso Q generation for visualization : postProcess -func Q -time "500:600" In POD-* directory, POD using ITHACA-FV library and ANR code RedLUM. POD is performed on 500:1000 (train set) using the snapshot method. Temporal modes are also evaluated on 1000:1100 (test set) by snapshot projection.
本数据集包含雷诺数Re=3900工况下圆柱尾流的openfoam(openfoam)数值模拟结果。几何模型通过blockMesh与snappyHexMesh工具构建:三维计算域为尺寸[0:20]×[-10:10]×[0:3.14]的长方体,中心位于Ccyl=(5,0)、半径Rcyl=0.5的Z轴方向圆柱贯穿该计算域。本次模拟采用openfoam 21.12版本的pimpleFoam求解器,后处理可视化借助parafoam完成,本征正交分解(POD)则通过ITHACA-FV库实现。模拟代码运行于集群环境,共使用约28个CPU核心,相关运行命令如下:
# 大涡模拟(LES)相关命令
decomposePar -decomposeParDict system/decomposeParDict -force
mpirun -n 28 pimpleFoam -parallel
mpirun -n 28 redistributePar -parallel -reconstruct -overwrite
后处理流程如下:
在当前工作目录中,执行`postProcess -func Q -time "500:600"`生成用于可视化的等值Q面;
在POD-*目录下,借助ITHACA-FV库与ANR代码RedLUM开展POD分析:训练集选取500至1000时刻的流场数据,通过快照法构建本征正交模态;测试集选取1000至1100时刻的流场数据,通过快照投影法计算时域模态。
提供机构:
Recherche Data Gouv
创建时间:
2025-05-12
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供了雷诺数为3900的圆柱尾流OpenFOAM模拟结果,包含从t=500到t=1100的时间序列数据,适用于流体动力学研究。数据生成使用了高性能计算集群,并包含后处理分析结果。
以上内容由遇见数据集搜集并总结生成



