Elastic Water Column Model for Hydraulic Transient Analysis of Pipe Networks

水锤 管网分析 瞬态(计算机编程) 网络模型 管道运输 管道(软件) 压缩性 代表(政治) 计算机科学 控制理论(社会学) 机械 模拟 工程类 机械工程 数据挖掘 人工智能 政治 操作系统 物理 程序设计语言 法学 控制(管理) 政治学
作者
Wei Zeng,Aaron C. Zecchin,Martin F. Lambert
出处
期刊:Journal of Hydraulic Engineering [American Society of Civil Engineers]
卷期号:148 (12) 被引量:8
标识
DOI:10.1061/(asce)hy.1943-7900.0002028
摘要

The transient behavior of pipe systems is typically simulated using water hammer models [such as the method of characteristics (MOC)], or rigid water column (RWC) models depending on whether the hydraulic transition is fast or gradual. In this paper, an elastic water column (EWC) model for analyzing hydraulic transients in pipe networks is formulated using a novel graph-theoretic approach. The new method of modeling a network with a state-space representation inherits the advantages of the RWC model, such as its high computational efficiency and potential to integrate with modern control theory and signal analysis algorithms. Meanwhile, the proposed method incorporates water compressibility and is therefore significantly more accurate than the standard RWC models, and is shown to be equivalent to MOC models below a critical frequency. Another advantage of the new model is its elegantly simple formulation for an arbitrarily configured pipe network. The accuracy of the model was validated numerically on 6- and 51-pipe networks. The simulated results of the 51-pipe network demonstrate that the transient pressures in a large-scale pipe network dominate in the low-frequency range where the EWC model has high accuracy. These results demonstrate the utility of the proposed method to provide a flexible solution to optimize accuracy and efficiency for simulating hydraulic transient events in pipeline networks. The EWC model has great potential to be combined with other control and signal analysis techniques because of its state-space representation of a water network.

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
JJS完成签到 ,获得积分10
1秒前
1秒前
SciGPT应助洋洋采纳,获得10
1秒前
2秒前
2秒前
3秒前
古往今来完成签到,获得积分10
3秒前
tangz发布了新的文献求助10
4秒前
黑森林完成签到,获得积分10
4秒前
4秒前
追寻怀亦发布了新的文献求助10
5秒前
Gauss应助段晓倩采纳,获得30
5秒前
congcong发布了新的文献求助10
5秒前
Cchoman完成签到,获得积分10
5秒前
lwh发布了新的文献求助10
6秒前
orixero应助mzd采纳,获得10
6秒前
充电宝应助mzd采纳,获得10
6秒前
石头完成签到,获得积分10
7秒前
DKJ应助light采纳,获得10
7秒前
7秒前
8秒前
小虫子完成签到,获得积分10
8秒前
8秒前
打打应助曾经的冰之采纳,获得10
9秒前
英姑应助lenetivy采纳,获得10
9秒前
天天快乐应助任浩采纳,获得10
9秒前
Guo Xu发布了新的文献求助10
10秒前
Urrr完成签到,获得积分10
10秒前
congcong完成签到,获得积分10
10秒前
sheryl发布了新的文献求助10
11秒前
11秒前
12秒前
zaozao发布了新的文献求助10
12秒前
善良枫叶完成签到,获得积分10
13秒前
彭晓雅完成签到,获得积分10
13秒前
13秒前
123456完成签到,获得积分0
13秒前
地球完成签到,获得积分10
14秒前
arniu2008发布了新的文献求助10
14秒前
Dharma_Bums发布了新的文献求助10
15秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6719761
求助须知:如何正确求助?哪些是违规求助? 8456665
关于积分的说明 18053973
捐赠科研通 5970994
什么是DOI,文献DOI怎么找? 2995771
邀请新用户注册赠送积分活动 1971806
关于科研通互助平台的介绍 1925048