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Validation of Taylor's Frozen Hypothesis for DAS-Based Flow
Shu Dai1, Lei Liang1, Ke Jiang1
1National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China.
Sensors (Basel, Switzerland)
|July 12, 2025
Summary
This study validates Taylor's frozen hypothesis for non-intrusive flow velocity measurement in circular pipes using distributed acoustic sensing (DAS). The novel method achieves high accuracy (≤3% error) for industrial and environmental monitoring.
Area of Science:
- Fluid dynamics
- Acoustic sensing technology
- Computational fluid dynamics
Background:
- Non-intrusive flow measurement is crucial for industrial and environmental monitoring.
- Traditional intrusive methods are costly and can damage pipelines.
- Taylor's frozen hypothesis is promising for non-intrusive velocity detection but its application in turbulent circular pipes and with distributed acoustic sensing (DAS) is unexplored.
Purpose of the Study:
- To investigate the applicability of Taylor's frozen hypothesis in turbulent circular pipes using DAS.
- To develop and validate a novel non-intrusive flow velocity measurement technique.
- To enhance the accuracy and stability of flow detection in pipeline systems.
Main Methods:
- Constructed a circular pipe turbulence model using large eddy simulation (LES).
- Developed a dispersion feature enhancement algorithm utilizing cross-correlation and a rotatable elliptical template.
- Established an experimental circulating pipeline DAS measurement system for validation.
Main Results:
- Turbulent flow vortex structures in circular pipes exhibit stability along the convection direction, aligning with theoretical expectations.
- The proposed method achieved a relative error of ≤3% in average flow velocity measurements.
- Significant improvements in accuracy and stability were observed, particularly in high-flow zones.
Conclusions:
- The study confirms the viability of Taylor's frozen hypothesis for non-intrusive flow velocity measurement in turbulent circular pipes via DAS.
- The developed algorithm and experimental system offer an innovative and effective approach for pipeline monitoring.
- This research provides a strong experimental basis for advancing non-intrusive flow detection technologies.
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