LAPSE:2023.10811
Published Article
LAPSE:2023.10811
Research on Method for Detecting Pipeline Blockages Based on Fluid Oscillation Theory
Kai Wu, Yujie Feng, Ying Xu
February 27, 2023
Abstract
To address the problem of pipeline blockage detection, a mathematical model of pipeline blockage detection is established based on fluid oscillation theory. This paper proposes a governing equation of the water hammer of fluid motion in a pipeline with a blockage point, and The Dirac function is introduced for dimensionlessness and linearization. The amplitude of the harmonic of each component in different periods is expressed by a Fourier series. The blocking position can be determined by the ratio of the two-component harmonics, and the blocking magnitude can be determined by the blocking attenuation parameters of each component’s harmonics. The numerical simulation and experimental results show that the application of fluid oscillation theory to detect the location and magnitude of pipeline blockages is effective, and the accuracy of the detection method is verified, which lays a theoretical foundation for the application of the proposed method in engineering practice.
Keywords
blockage detection, fluid oscillation theory, Fourier series analysis, individual component harmonic, pipeline
Suggested Citation
Wu K, Feng Y, Xu Y. Research on Method for Detecting Pipeline Blockages Based on Fluid Oscillation Theory. (2023). LAPSE:2023.10811
Author Affiliations
Wu K: State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, School of Environment, Huanghe Road No. 73, Harbin 150090, China [ORCID]
Feng Y: State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, School of Environment, Huanghe Road No. 73, Harbin 150090, China
Xu Y: School of Energy and Architecture Engineering, Harbin University of Commerce, Xuehai Street No. 1, Harbin 150028, China
Journal Name
Energies
Volume
15
Issue
15
First Page
5373
Year
2022
Publication Date
2022-07-25
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15155373, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.10811
This Record
External Link

https://doi.org/10.3390/en15155373
Publisher Version
Download
Files
Feb 27, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
208
Version History
[v1] (Original Submission)
Feb 27, 2023
 
Verified by curator on
Feb 27, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.10811
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version