Acoustic wave propagation (up to 50 kHz) within a water-filled steel pipeline is studied using laboratory experiments. The experiments were carried out in a 6 m length of cylindrical stainless steel pipeline using acoustic transducers to acquire signals from 100 locations uniformly spaced along the longitudinal axis of the pipe. By applying the iterative quadratic maximum likelihood algorithm (IQML) to the experimental results, parameters such as wave numbers, attenuations and mode amplitudes were accurately extracted for individual modes from the measurement data. We found that the IQML algorithm could extract these parameters more accurately in situations where the measurement data had low signal to noise ratio as compared to other algorithms such as Prony’s method. A very good match was obtained between the experimental results and predictions from an analytical waveguide model for the wave number dispersion curves, attenuations and acoustic power characteristics of the axisymmetric and non-axisymmetric modes. Additional physical explanations of the propagation phenomena in the pipeline waveguide were obtained using the experimental results and analytical model.
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7 May 2018
175th Meeting of the Acoustical Society of America
7–11 May 2018
Minneapolis, Minnesota
Physical Acoustics: Paper 3aPA3
July 30 2018
Measurement and analysis of wave propagation in water-filled steel pipeline using iterative quadratic maximum likelihood algorithm
Zhao Li
;
Zhao Li
1Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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Liwen Jing;
Liwen Jing
1Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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Wenjie Wang;
Wenjie Wang
1Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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Yue Li;
Yue Li
1Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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Amartansh Dubey;
Amartansh Dubey
1Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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Pedro Lee;
Pedro Lee
2Department of Civil and Natural Resources Engineering,
University of Canterbury
, Christchurch, NEW ZEALAND
; [email protected]
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Ross Murch
Ross Murch
1Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
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Zhao Li
1
Liwen Jing
1
Wenjie Wang
1
Yue Li
1
Amartansh Dubey
1
Pedro Lee
2
Ross Murch
1
1
Department of Electronic and Computer Engineering,
Hong Kong University of Science and Technology
, Hong Kong, 999077, HONG KONG
; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
2
Department of Civil and Natural Resources Engineering,
University of Canterbury
, Christchurch, NEW ZEALAND
; [email protected]Proc. Mtgs. Acoust. 33, 045001 (2018)
Article history
Received:
May 28 2018
Accepted:
July 11 2018
Citation
Zhao Li, Liwen Jing, Wenjie Wang, Yue Li, Amartansh Dubey, Pedro Lee, Ross Murch; Measurement and analysis of wave propagation in water-filled steel pipeline using iterative quadratic maximum likelihood algorithm. Proc. Mtgs. Acoust. 7 May 2018; 33 (1): 045001. https://doi.org/10.1121/2.0000827
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