Modelling study of the spread of liquid fuel spill fires using shallow water equations

环境科学 飞溅 浅水方程 液体燃料 气象学 燃烧 机械 地理 化学 物理 有机化学
作者
Yuntao Li,Yuan Meng,Xiping Song,Laibin Zhang,Jian Shuai
出处
期刊:Journal of Loss Prevention in The Process Industries [Elsevier BV]
卷期号:87: 105227-105227 被引量:1
标识
DOI:10.1016/j.jlp.2023.105227
摘要

In oil spill–fire accidents, the spread of burning fuel from petroleum product containers may increase accident losses and trigger further accidents. Studying the spreading process of spill fires is important to prevent accidents and mitigate losses. Herein, a spill-fire spread model was proposed to predict the spread rate and time varying burning area of liquid fuel spill fires. The model was developed using one-dimensional nonlinear shallow water equations. Fuel consumption was used as the source term in the equations. To ensure numerical stability and accuracy, the third-order TVD Runge–Kutta method and the second-order MUSCL scheme were used for time advancement and numerical space reconstruction, respectively. Numerical flux was calculated by using the HLL approximate Riemann solver. The algorithm of the shallow water equations was modified in accordance with the spread characteristics of spill fires. Using the developed spread model, the dynamic burning area and dynamic fuel thickness of a spill fire were calculated. The simulation results were verified using the experimental results on continuously released n-heptane spill fires, and the two results were in good agreement.
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
瓜子发布了新的文献求助20
刚刚
李健的小迷弟应助lanmo采纳,获得10
2秒前
keyanxiaobai发布了新的文献求助10
2秒前
可爱的函函应助LNN采纳,获得10
2秒前
ColinWine发布了新的文献求助10
2秒前
2秒前
3秒前
SciGPT应助武雨寒采纳,获得10
3秒前
5秒前
6秒前
橙子发布了新的文献求助10
7秒前
懒洋洋发布了新的文献求助20
7秒前
orixero应助徐福采纳,获得10
7秒前
小小K发布了新的文献求助10
8秒前
8秒前
9秒前
10秒前
10秒前
yeahsawyou发布了新的文献求助10
10秒前
13秒前
scsc完成签到,获得积分10
13秒前
初夏发SCI发布了新的文献求助10
14秒前
orixero应助澡雪采纳,获得10
14秒前
JamesPei应助小小K采纳,获得10
15秒前
CodeCraft应助glitter采纳,获得30
15秒前
20秒前
Ava应助大白采纳,获得10
20秒前
21秒前
洗刷刷发布了新的文献求助10
21秒前
彭于晏应助jc哥采纳,获得10
21秒前
nlyk完成签到,获得积分10
24秒前
彩色橘子完成签到 ,获得积分10
24秒前
大模型应助huhu采纳,获得10
24秒前
阳光项链发布了新的文献求助10
25秒前
桐桐应助初夏发SCI采纳,获得10
25秒前
Emma完成签到 ,获得积分10
25秒前
Lily发布了新的文献求助10
26秒前
26秒前
you998308完成签到,获得积分20
26秒前
武雨寒发布了新的文献求助10
29秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Effective Learning and Mental Wellbeing 400
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 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3975836
求助须知:如何正确求助?哪些是违规求助? 3520174
关于积分的说明 11201364
捐赠科研通 3256576
什么是DOI,文献DOI怎么找? 1798362
邀请新用户注册赠送积分活动 877539
科研通“疑难数据库(出版商)”最低求助积分说明 806426