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Author:

Qi, Y. (Qi, Y..) | Wang, X. (Wang, X..) | Yang, L. (Yang, L..) | Wang, Y. (Wang, Y..) | Guo, Z. (Guo, Z..)

Indexed by:

EI Scopus SCIE

Abstract:

This paper proposed a method for locating buried polyethylene (PE) pipelines based on three-dimensional time-domain stacking focusing on elastic wave reflections. Research is conducted on the elastic wave propagation mechanism in solids. A finite element model of the propagation of elastic waves in a pipe-soil coupling system excited by a vertically oriented source is established. The transverse wave energy component below the excitation source is zero for elastic waves excited by a vertically oriented source. Based on this characteristic, an elastic wave probe array is first used, circularly distributed around the excitation source. The symmetry of the probe array is utilized to locate the buried PE pipes in the horizontal direction. Then, interference from the transverse waves is reduced by placing the excitation source directly above the buried PE pipeline. A three-dimensional image of the buried PE pipeline is formed using high-frequency elastic wave reflection signals and three-dimensional time-domain stacking. The results show that the proposed method can determine the horizontal position and burial depth of buried PE pipes without excavation. In addition, this work is significant for the localization methods of other buried pipe materials. The related detection systems and imaging methods have certain universality and reference value for detecting other buried public facilities. © 2023 IOP Publishing Ltd.

Keyword:

PE pipeline elastic wave pipeline positioning buried pipeline 3D imaging

Author Community:

  • [ 1 ] [Qi Y.]Institute of Intelligent Machinery, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wang X.]Institute of Intelligent Machinery, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Yang L.]Institute of Intelligent Machinery, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Wang Y.]Institute of Intelligent Machinery, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Guo Z.]Institute of Intelligent Machinery, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China

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Source :

Measurement Science and Technology

ISSN: 0957-0233

Year: 2024

Issue: 2

Volume: 35

2 . 4 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: 3

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