Fast fluid dynamics simulation of airflow around a single bluff body under different turbulence models and discretization schemes

离散化 计算流体力学 气流 湍流 虚张声势 雷诺平均Navier-Stokes方程 流量(数学) 计算机科学 应用数学 模拟 数学优化 机械 数学 气象学 工程类 物理 数学分析 机械工程
作者
Ruibin Li,Zhanpeng Liu,Yi Zhao,Yan Wu,Jianlei Niu,Liangzhu Wang,Naiping Gao
出处
期刊:Building and Environment [Elsevier]
卷期号:219: 109235-109235 被引量:6
标识
DOI:10.1016/j.buildenv.2022.109235
摘要

Fast and accurate simulation of outdoor airflow distribution is important for studying urban microclimate. Choosing a reasonable turbulence model and discretization scheme is not only related to the computational accuracy but also to efficiency. However, conventional CFD methods are computationally intensive and slow for unsteady problems, and thus cannot meet the demand for fast simulation of urban microclimate. In this paper, three pressure-correction schemes (i.e., NIPC, SIPC, and NSPF) for solving the N–S equation item by item are implemented in OpenFOAM, and then the differences are compared when applying different turbulence models and discretization schemes to quickly simulate the airflow distribution around a single 1:1:2 bluff body. All pressure-correction schemes can accurately predict the main airflow characteristics around the bluff body. The three schemes are about 2.5–3.5 times faster than the PISO algorithm, and they take the shortest computational time when applying RKE, followed by SQKE and RNG, while the longest computational time is required when applying SKE and LBKE. NIPC and SIPC have similar computational speeds, while NSPF is about 10–16% faster than them. The pressure-correction scheme with the first-order upwind scheme is about 6–10% faster than the second-order discretization scheme. Considering both computational accuracy and efficiency, the combination of NSPF with RNG or SQKE turbulence model and first-order upwind scheme may be a reasonable choice to quickly simulate the urban airflow distributions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sheya_hsu发布了新的文献求助10
刚刚
小陈发布了新的文献求助10
1秒前
hhy发布了新的文献求助10
2秒前
3秒前
FashionBoy应助现实的南珍采纳,获得10
4秒前
4秒前
4秒前
莫尔蓝完成签到,获得积分20
4秒前
俏皮的板凳完成签到,获得积分10
4秒前
Skuld应助小温小温采纳,获得10
5秒前
Rasink发布了新的文献求助10
5秒前
学医的S完成签到,获得积分10
7秒前
7秒前
文艺蛋挞发布了新的文献求助10
7秒前
一指墨发布了新的文献求助10
8秒前
情怀应助标致的乐双采纳,获得10
9秒前
七柚发布了新的文献求助10
10秒前
小Q含完成签到,获得积分10
11秒前
11秒前
充电宝应助牙牙采纳,获得10
12秒前
JamesPei应助勤奋曼雁采纳,获得10
13秒前
13秒前
文艺蛋挞完成签到,获得积分10
14秒前
sheya_hsu完成签到,获得积分10
14秒前
14秒前
一指墨完成签到,获得积分10
14秒前
14秒前
sammi米完成签到,获得积分10
15秒前
15秒前
情怀应助VV采纳,获得10
17秒前
Pearl应助lh233采纳,获得10
18秒前
18秒前
orixero应助加油采纳,获得10
19秒前
山雀发布了新的文献求助10
19秒前
22秒前
22秒前
顺鑫发布了新的文献求助10
24秒前
大大怪完成签到 ,获得积分10
24秒前
薛雨佳发布了新的文献求助10
24秒前
英姑应助居居子采纳,获得10
24秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1500
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 550
Decision Theory 500
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2988017
求助须知:如何正确求助?哪些是违规求助? 2649071
关于积分的说明 7157302
捐赠科研通 2283096
什么是DOI,文献DOI怎么找? 1210513
版权声明 592454
科研通“疑难数据库(出版商)”最低求助积分说明 591139