Reducing linearization errors in the frequency domain analysis of fluid transients due to pipeline burst

The frequency domain analysis (FDA) offers greater computational efficiency than the method of characteristic (MOC) in simulating transient flow in pressurized pipes. However, its accuracy is hindered by linearisation errors. Violations of the assumptions for linearisation in friction term and valve equations during water distribution systems (WDSs) burst simulations make the FDA results meaningless. Linearisation procedures are modified as follows using the Heaviside property of pipeline bursts to address this problem: (1) the linearization of the friction term is adjusted, and (2) the valve equation is approximated using a three-step approach. The higher-order term dropped by the original FDA is linearly approximated to achieve better accuracy. The modified FDA is compared to the MOC in a real-life WDS by numerical experiment. Excellent precision can be observed even for a highly nonlinear case where the burst flow is 20% of the initial total demand. The simulation time is significantly shorter than when using the MOC. The proposed modification dramatically improves the applicability of the FDA for solving the nonlinear error issue during the simulation of the pipeline burst. This result implies the potential for its application in quick inverse analysis of pipeline bursts.

Authors

Institutions

Publication Details

Journal
Engineering Applications of Computational Fluid Mechanics
Published
2024-08-30
DOI
https://doi.org/10.1080/19942060.2024.2397005
Citations
3
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reducing linearization errors in the frequency domain analysis of fluid transients due to pipeline burst

Yali Guo, Ziyuan Liao, Shuming Liu
3 citations
Engineering Applications of Computational Fluid Mechanics
Water Systems and Optimization
0.78
article

Reducing linearization errors in the frequency domain analysis of fluid transients due to pipeline burst

Yali Guo, Ziyuan Liao, Shuming Liu
article en
3 citations

Abstract

The frequency domain analysis (FDA) offers greater computational efficiency than the method of characteristic (MOC) in simulating transient flow in pressurized pipes. However, its accuracy is hindered by linearisation errors. Violations of the assumptions for linearisation in friction term and valve equations during water distribution systems (WDSs) burst simulations make the FDA results meaningless. Linearisation procedures are modified as follows using the Heaviside property of pipeline bursts to address this problem: (1) the linearization of the friction term is adjusted, and (2) the valve equation is approximated using a three-step approach. The higher-order term dropped by the original FDA is linearly approximated to achieve better accuracy. The modified FDA is compared to the MOC in a real-life WDS by numerical experiment. Excellent precision can be observed even for a highly nonlinear case where the burst flow is 20% of the initial total demand. The simulation time is significantly shorter than when using the MOC. The proposed modification dramatically improves the applicability of the FDA for solving the nonlinear error issue during the simulation of the pipeline burst. This result implies the potential for its application in quick inverse analysis of pipeline bursts.

Engineering Applications of Computational Fluid MechanicsVol. 18(1)
SGIDI Engineering Consulting (China) (CN), Tsinghua University (CN)
Openalex Percentile: Top 31%
Water Systems and Optimization
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reducing linearization errors in the frequency domain analysis of fluid transients due to pipeline burst — Yali Guo, Ziyuan Liao, et al. · Engineering Applications of Computational Fluid Mechanics (2024) | TGRS Research Map | TGRS