A technical review of computational fluid dynamics (CFD) applications on wind design of tall buildings and structures: Past, present and future

计算流体力学 建筑CFD 空气动力学 范围(计算机科学) 计算机科学 建筑工程 湍流 工程类 海洋工程 机械工程 航空航天工程 机械 物理 程序设计语言
作者
K. Wijesooriya,Damith Mohotti,Chi King Lee,Priyan Mendis
出处
期刊:Journal of building engineering [Elsevier BV]
卷期号:74: 106828-106828 被引量:2
标识
DOI:10.1016/j.jobe.2023.106828
摘要

Over the past two decades, an upsurge in using Computational Fluid Dynamics (CFD) for wind design on tall buildings has been observed. An extensive amount of work has been performed, where validation has been at the forefront of most of these studies. Challenges associated with CFD and different methodologies used in the analysis haven't been well articulated within the scope of tall building design. Also, there is a lack of critical best practice guidelines in using CFD for wind analysis of structures which can be readily adopted by practitioners and researchers alike. To this end, this paper presents a comprehensive technical review of the application of Computational Fluid Dynamics (CFD) on tall buildings and structures. A thorough discussion of CFD and its concerning design challenges specific to tall building design, such as turbulence modelling, inflow turbulence and domain & mesh configurations, are discussed in detail. Furthermore, a comprehensive literature of CFD studies on tall buildings is presented, covering all important topics from basic bluff body aerodynamics to complex Fluid-Structure Interaction (FSI) studies. Where applicable, the literature is critically evaluated (impartially) in this paper and compared with supportive arguments from the author's extensive experience. Finally, the manuscript concludes with potential upcoming numerical methods such as the Lattice-Boltzmann Method (LBM) and the use of Artificial Intelligence (AI) to design tall buildings.
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
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
俏皮汉堡发布了新的文献求助10
刚刚
BoBO发布了新的文献求助20
1秒前
南橘完成签到 ,获得积分10
1秒前
平淡的天奇完成签到 ,获得积分10
1秒前
1秒前
dwj发布了新的文献求助10
1秒前
糕糕发布了新的文献求助10
2秒前
3秒前
林林完成签到,获得积分20
3秒前
月半完成签到,获得积分10
4秒前
4秒前
Daniel完成签到,获得积分10
4秒前
kai898发布了新的文献求助10
4秒前
ZZZZXXXX完成签到,获得积分20
4秒前
阳光总在风雨后完成签到,获得积分10
5秒前
王彤彤发布了新的文献求助20
5秒前
海城好人完成签到,获得积分10
5秒前
zqy完成签到,获得积分20
5秒前
动听月饼发布了新的文献求助10
6秒前
小海发布了新的文献求助10
6秒前
6秒前
科研通AI5应助卡司采纳,获得10
6秒前
7秒前
高高完成签到,获得积分10
8秒前
阿网完成签到,获得积分10
8秒前
虚心半莲完成签到,获得积分20
8秒前
脑洞疼应助棖0921采纳,获得10
8秒前
cetomacrogol完成签到,获得积分10
8秒前
9秒前
大美女完成签到,获得积分10
9秒前
air完成签到 ,获得积分10
10秒前
monoklatt完成签到,获得积分10
10秒前
虚心半莲发布了新的文献求助10
11秒前
海阔天空发布了新的文献求助10
11秒前
11秒前
飞鱼发布了新的文献求助10
12秒前
哄哄完成签到,获得积分10
12秒前
Hello应助Yw zhang采纳,获得10
12秒前
Hello应助哼哼哈嘿采纳,获得10
12秒前
13秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Essentials of Performance Analysis in Sport 500
Measure Mean Linear Intercept 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3729613
求助须知:如何正确求助?哪些是违规求助? 3274653
关于积分的说明 9987684
捐赠科研通 2989926
什么是DOI,文献DOI怎么找? 1640809
邀请新用户注册赠送积分活动 779408
科研通“疑难数据库(出版商)”最低求助积分说明 748217