Experimental and numerical research on the characteristics of heavy gas leakage and diffusion

泄漏(经济) 计算流体力学 液化石油气 计算机模拟 扩散过程 石油工程 环境科学 气体扩散 扩散 机械 模拟 工程类 热力学 物理 废物管理 计算机科学 创新扩散 化学工程 经济 宏观经济学 知识管理 燃料电池
作者
Baojun Shi,Hui Wang,Shi‐Ming Nie,Cheng Cheng,Tiejun Li
出处
期刊:Process Safety Progress [Wiley]
卷期号:41 (3): 567-580 被引量:10
标识
DOI:10.1002/prs.12371
摘要

Abstract Once a hazardous gas leaks, it will pose a serious threat to the safety of people's lives and property. This paper aims to investigate the flow characteristics of heavy gas leakage and diffusion to deal with sudden accidents caused by hazardous gas leakage. First, an experimental platform for the leakage and diffusion of heavy gas is built, and the tracer technique is adopted to visualize the experimental phenomena during the process of gas leakage and diffusion. Second, a computational fluid dynamics (CFD) model is built based on the experimental platform to simulate and analyze the gas leakage and diffusion process. The CFD model is verified by comparing the numerical results with those of experiments using an authoritative evaluation standard procedure. The comparison shows that the related statistical performance measures are all reasonable. Third, a three‐dimensional numerical model of a real tank farm is created in full scale and the heavy gas (liquefied petroleum gas) leakage process is simulated and analyzed considering also the effect of wind. Experimental and numerical results show that the heavy gas leakage and diffusion process can be divided into three stages: gas concentration rising stage, gravity sedimentation stage, and gas passive diffusion stage, in which different flow phenomena are observed with different flow characteristics for each of the stages. The phenomena observed in experiment are further analyzed and clarified using fluid dynamics by numerical simulation. The full‐scale modeling and simulation of the real tank farm is helpful for taking possible measures once a gas leakage occurs.
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
量子星尘发布了新的文献求助10
刚刚
hehe0086完成签到,获得积分10
1秒前
1秒前
摇摆小狗发布了新的文献求助10
1秒前
professor_J发布了新的文献求助30
1秒前
充电宝应助小猫围子采纳,获得10
1秒前
Xq321pX发布了新的文献求助10
1秒前
2秒前
木木发布了新的文献求助10
2秒前
梦or夢完成签到,获得积分10
2秒前
Vintoe发布了新的文献求助10
3秒前
3秒前
3秒前
铱铱的胡萝卜完成签到,获得积分10
3秒前
chen完成签到,获得积分10
4秒前
4秒前
1314526发布了新的文献求助30
4秒前
4秒前
沉默天宇发布了新的文献求助10
4秒前
5秒前
Hx发布了新的文献求助10
5秒前
小李发布了新的文献求助10
5秒前
5秒前
粥游天下完成签到,获得积分10
6秒前
我是哑巴发布了新的文献求助10
6秒前
6秒前
11111发布了新的文献求助10
6秒前
6秒前
科研通AI6.1应助MNZZ采纳,获得10
7秒前
FashionBoy应助professor_J采纳,获得20
7秒前
7秒前
WCY完成签到,获得积分10
7秒前
234445完成签到,获得积分10
7秒前
科研顺利发布了新的文献求助10
7秒前
FashionBoy应助YYANG采纳,获得10
8秒前
哈哈哈哈发布了新的文献求助10
8秒前
大模型应助LL采纳,获得10
8秒前
隐形曼青应助Waundzy采纳,获得10
8秒前
灰色头像完成签到,获得积分10
8秒前
9秒前
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
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6154801
求助须知:如何正确求助?哪些是违规求助? 7983315
关于积分的说明 16587783
捐赠科研通 5265241
什么是DOI,文献DOI怎么找? 2809589
邀请新用户注册赠送积分活动 1789790
关于科研通互助平台的介绍 1657447