已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Improving the pedestrian-level wind comfort by lift-up factors of panel residence complex: Field-measurement and CFD simulation

行人 计算流体力学 Lift(数据挖掘) 风速 环境科学 海洋工程 风洞 风向 热舒适性 气流 气象学 工程类 模拟 航空航天工程 计算机科学 土木工程 机械工程 地理 数据挖掘
作者
Xiaotong Zhang,Yafeng Gao,Qiuhua Tao,Yunran Min,Juntao Fan
出处
期刊:Building and Environment [Elsevier BV]
卷期号:229: 109947-109947 被引量:15
标识
DOI:10.1016/j.buildenv.2022.109947
摘要

High-rise buildings in modern cities can hinder airflow and cause a weak local wind condition that intensifies pedestrian-level thermal discomfort. The lift-up design has been recognized as an effective way to improve wind comfort at pedestrian height levels due to its wind amplification effect. However, previous research has focused mainly on isolated buildings, while the influences of lift-up factors and their interactions on the pedestrian-level wind comfort have not been studied comprehensively enough. Therefore, this study aims to investigate the effects of lift-up ratio and positions of lift-up design on the pedestrian-level wind environments around a residence complex by combining field measurement and Computational Fluid Dynamics (CFD) simulation. An array of 12 panel buildings located in Chongqing was selected to collect relevant environmental parameters, including the mean wind velocity ratio (MVR) for model validation. Different simulation scenarios were set to quantitatively analyze the wind condition improvement in both the lift-up layer and the target research area of the residence complex. Results show that the lift-up position at both ends or in the middle has the most significant effect—about 94.83% and 96.03%—on improving lift-up layer MVR. In addition, the target area MVR of the optimal condition is 36.35% higher than that of the basic condition and continues steady growth with the increasing lift-up ratio. Findings in this study provide scientific references for city planners to improve pedestrian-level wind comfort.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
JamesPei应助oo采纳,获得10
1秒前
2秒前
等待的香魔应助jimoon采纳,获得10
2秒前
littletown发布了新的文献求助100
8秒前
Ava应助小鱼采纳,获得10
9秒前
大知闲闲完成签到 ,获得积分10
9秒前
yyy完成签到,获得积分10
12秒前
领导范儿应助khan采纳,获得10
12秒前
聪明萤完成签到 ,获得积分10
13秒前
18秒前
19秒前
tjnksy完成签到,获得积分10
19秒前
Crisp完成签到 ,获得积分10
19秒前
张燕完成签到,获得积分10
20秒前
苹果发布了新的文献求助10
23秒前
lxd发布了新的文献求助10
24秒前
26秒前
dddd完成签到,获得积分10
28秒前
Cosmosurfer完成签到,获得积分10
29秒前
lxd完成签到,获得积分10
31秒前
G_CURVE发布了新的文献求助10
34秒前
蜜HHH完成签到 ,获得积分10
38秒前
tuanheqi应助科研通管家采纳,获得30
45秒前
Lucas应助科研通管家采纳,获得30
45秒前
浮游应助科研通管家采纳,获得10
45秒前
浮游应助科研通管家采纳,获得10
45秒前
浮游应助科研通管家采纳,获得10
45秒前
CipherSage应助科研通管家采纳,获得10
45秒前
xxfsx应助科研通管家采纳,获得10
46秒前
王者归来完成签到,获得积分10
46秒前
心心完成签到 ,获得积分10
47秒前
李爱国应助日落采纳,获得10
51秒前
彭于晏应助khan采纳,获得30
1分钟前
1分钟前
严逍遥应助Pattis采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
日落发布了新的文献求助10
1分钟前
番茄鱼完成签到 ,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
A Half Century of the Sonogashira Reaction 1000
Artificial Intelligence driven Materials Design 600
Investigation the picking techniques for developing and improving the mechanical harvesting of citrus 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5185715
求助须知:如何正确求助?哪些是违规求助? 4371117
关于积分的说明 13611844
捐赠科研通 4223406
什么是DOI,文献DOI怎么找? 2316401
邀请新用户注册赠送积分活动 1315015
关于科研通互助平台的介绍 1263947