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Author:

Qi, Y. (Qi, Y..) | Wang, X. (Wang, X..) | Sun, T. (Sun, T..) | Rasool, G. (Rasool, G..) | Ali, A. (Ali, A..) | Guo, Z. (Guo, Z..) | Zheng, H. (Zheng, H..)

Indexed by:

EI Scopus SCIE

Abstract:

Polyethylene (PE) pipes have been widely utilized in urban water supply and gas transportation fields due to their corrosion resistance, high impact resistance, and long lifespan. However, the non-metallic nature of PE pipes poses challenges for precise positioning and maintenance, rendering traditional metal pipeline detection techniques unsuitable. This paper proposes a pipeline excitation method based on acoustic waveguide resonance for locating buried PE pipes. The study first introduces the theoretical basis of acoustic waveguide, including the physical laws of sound vibration and the wave equation of sound waves in ideal homogeneous fluid media. Through finite element simulation, the resonance characteristics of sound waves in straight pipes and T-junction pipes are analyzed, along with the influence of different pipe diameters, pressure levels, and propagation distances on resonance peak values. In the experimental section, a complete excitation source system and data acquisition system are constructed, and experiments are conducted by burying PE pipes for signal collection under various burial depths and conditions. The results indicate that the horizontal orientation of the pipe can be determined by observing the maximum signal amplitude, while an algorithm based on frequency-selective depth positioning can effectively estimate the burial depth of the pipe. While the experiments were conducted on a buried PE pipeline with a depth of 1 m and a diameter of 110 cm, the proposed method demonstrates potential for the detection of various types of pipelines buried at greater depths. IEEE

Keyword:

Finite element analysis Acoustics Resonance Sensors Acoustic waveguides Acoustic waveguide Resonant frequency Pipelines Waveguide theory Pipeline positioning Buried PE pipe

Author Community:

  • [ 1 ] [Qi Y.]College of Mechanical &
  • [ 2 ] Energy Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang X.]College of Mechanical &
  • [ 4 ] Energy Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Sun T.]College of Mechanical &
  • [ 6 ] Energy Engineering, Beijing University of Technology, Beijing, China
  • [ 7 ] [Rasool G.]College of Mechanical &
  • [ 8 ] Energy Engineering, Beijing University of Technology, Beijing, China
  • [ 9 ] [Ali A.]College of Mechanical &
  • [ 10 ] Energy Engineering, Beijing University of Technology, Beijing, China
  • [ 11 ] [Guo Z.]College of Mechanical &
  • [ 12 ] Energy Engineering, Beijing University of Technology, Beijing, China
  • [ 13 ] [Zheng H.]College of Mechanical &
  • [ 14 ] Energy Engineering, Beijing University of Technology, Beijing, China

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2024

Issue: 14

Volume: 24

Page: 1-1

4 . 3 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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