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Estimating acoustic wave dispersion in water pipelines using a single spatial measurement
Wenjie Wang1, Zhao Li2, Pedro Lee2
1Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
The Journal of the Acoustical Society of America
|June 4, 2020
Summary
This study introduces a new, simplified method for measuring acoustic wave dispersion in water-filled pipelines. The technique uses a single spatial measurement, improving upon previous multi-measurement approaches.
Area of Science:
- Acoustics
- Materials Science
- Fluid Dynamics
Background:
- Acoustic wave dispersion in pipelines is crucial for understanding wave propagation.
- Existing experimental methods for dispersion estimation require multiple spatial measurements, posing practical challenges.
- Accurate dispersion estimation is vital for pipeline integrity assessment and material characterization.
Purpose of the Study:
- To develop a novel, simplified experimental method for estimating acoustic wave dispersion in water-filled pipelines.
- To reduce the complexity of dispersion measurements by utilizing a single spatial measurement.
- To validate the proposed method using laboratory experiments on a high-density polyethylene pipeline.
Main Methods:
- Theoretical analysis of acoustic wave propagation in pipelines.
- Development of a singular value decomposition (SVD)-based approach for dispersion estimation.
- Experimental validation using a cylindrical high-density polyethylene pipeline filled with water.
Main Results:
- The proposed method successfully estimates acoustic wave dispersion using only one spatial measurement.
- Experimental results confirm the effectiveness and accuracy of the SVD-based approach.
- The method demonstrates significant simplification compared to traditional multi-measurement techniques.
Conclusions:
- The developed single-measurement method offers a more practical and efficient way to estimate acoustic wave dispersion.
- This approach has potential applications in non-destructively estimating pipeline size and material properties.
- The findings contribute to improved pipeline monitoring and characterization techniques.
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