Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow
Accurate measurement of pipeline flow is of great significance for industrial and environmental monitoring. Traditional intrusive methods have the disadvantages of high cost and damage to pipeline structure, while non-intrusive techniques can circumvent such issues. Although Taylor’s frozen hypothes...
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MDPI AG
2025-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/13/3840 |
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| author | Shu Dai Lei Liang Ke Jiang Hui Wang Chengyi Zhong |
| author_facet | Shu Dai Lei Liang Ke Jiang Hui Wang Chengyi Zhong |
| author_sort | Shu Dai |
| collection | DOAJ |
| description | Accurate measurement of pipeline flow is of great significance for industrial and environmental monitoring. Traditional intrusive methods have the disadvantages of high cost and damage to pipeline structure, while non-intrusive techniques can circumvent such issues. Although Taylor’s frozen hypothesis has a theoretical advantage in non-intrusive velocity detection, current research focuses on planar flow fields, and its applicability in turbulent circular pipes remains controversial. Moreover, there is no precedent for combining it with distributed acoustic sensing (DAS) technology. This paper constructs a circular pipe turbulence model through large eddy simulation (LES), revealing the spatiotemporal distribution characteristics of turbulent kinetic energy and the energy propagation rules of FK spectra. It proposes a dispersion feature enhancement algorithm based on cross-correlation, which combines a rotatable elliptical template with normalized cross-correlation coefficients to suppress interference from non-target directions. An experimental circulating pipeline DAS measurement system was set up to complete signal denoising and compare two principles of flow velocity verification. The results show that the vortex structure of turbulent flow in circular pipes remains stable in the convection direction, conforming to theoretical premises; the relative error of average flow velocity by this method is ≤3%, with significant improvements in accuracy and stability in high-flow zones. This study provides innovative methods and experimental basis for non-intrusive flow detection using DAS. |
| format | Article |
| id | doaj-art-d16e1b5944c44b70a79d717ca7b0992d |
| institution | Matheson Library |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj-art-d16e1b5944c44b70a79d717ca7b0992d2025-07-11T14:42:43ZengMDPI AGSensors1424-82202025-06-012513384010.3390/s25133840Validation of Taylor’s Frozen Hypothesis for DAS-Based FlowShu Dai0Lei Liang1Ke Jiang2Hui Wang3Chengyi Zhong4National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, ChinaAccurate measurement of pipeline flow is of great significance for industrial and environmental monitoring. Traditional intrusive methods have the disadvantages of high cost and damage to pipeline structure, while non-intrusive techniques can circumvent such issues. Although Taylor’s frozen hypothesis has a theoretical advantage in non-intrusive velocity detection, current research focuses on planar flow fields, and its applicability in turbulent circular pipes remains controversial. Moreover, there is no precedent for combining it with distributed acoustic sensing (DAS) technology. This paper constructs a circular pipe turbulence model through large eddy simulation (LES), revealing the spatiotemporal distribution characteristics of turbulent kinetic energy and the energy propagation rules of FK spectra. It proposes a dispersion feature enhancement algorithm based on cross-correlation, which combines a rotatable elliptical template with normalized cross-correlation coefficients to suppress interference from non-target directions. An experimental circulating pipeline DAS measurement system was set up to complete signal denoising and compare two principles of flow velocity verification. The results show that the vortex structure of turbulent flow in circular pipes remains stable in the convection direction, conforming to theoretical premises; the relative error of average flow velocity by this method is ≤3%, with significant improvements in accuracy and stability in high-flow zones. This study provides innovative methods and experimental basis for non-intrusive flow detection using DAS.https://www.mdpi.com/1424-8220/25/13/3840circular pipe turbulenceTaylor’s frozen hypothesisdistributed optical fiber acoustic sensingdispersion feature enhancementnon-intrusive flow measurement |
| spellingShingle | Shu Dai Lei Liang Ke Jiang Hui Wang Chengyi Zhong Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow Sensors circular pipe turbulence Taylor’s frozen hypothesis distributed optical fiber acoustic sensing dispersion feature enhancement non-intrusive flow measurement |
| title | Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow |
| title_full | Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow |
| title_fullStr | Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow |
| title_full_unstemmed | Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow |
| title_short | Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow |
| title_sort | validation of taylor s frozen hypothesis for das based flow |
| topic | circular pipe turbulence Taylor’s frozen hypothesis distributed optical fiber acoustic sensing dispersion feature enhancement non-intrusive flow measurement |
| url | https://www.mdpi.com/1424-8220/25/13/3840 |
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