GPR-based water pipe leakage detection with interoperability-enhanced modelling

Huamei Zhu; Feng Xiao; Yimin Zhou; Wallace Wai Lok Lai; Qianbing Zhang

doi:10.1109/IWAGPR57138.2023.10329067

GPR-based water pipe leakage detection with interoperability-enhanced modelling

Huamei Zhu
, Feng Xiao
, Yimin Zhou
, Wallace Wai Lok Lai
, Qianbing Zhang

Civil & Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

1 Citation (Scopus)

Abstract

GPR has the proven ability to inspect invisible underground infrastructures such as utility tunnels and water pipelines. Simulation plays a critical role in interpreting GPR data while model reconstruction remains a big challenge, particularly for complicated scenarios. To ease the modelling complexity, this study proposed a workflow to improve the interoperability between the graphical design application, the geotechnical analyser, and the electromagnetic (EM) simulator. Taking water pipe leakage detection as an example, the geometric model was generated in Rhino and shared with FLAC3D for permeability simulation. Afterwards, coupling the graphical information using a Grasshopper plug-in with the saturation results via the Complex Refractive Index Model (CRIM), a detailed dielectric model got reconstructed in gprMax for FDTD simulations.

Original language	English
Title of host publication	2023 12th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2023
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9798350337884
DOIs	https://doi.org/10.1109/IWAGPR57138.2023.10329067
Publication status	Published - 2023
Event	International Workshop on Advanced Ground Penetrating Radar (IWAGPR) 2023 - Lisbon, Portugal Duration: 5 Jul 2023 → 7 Jul 2023 Conference number: 12th https://ieeexplore.ieee.org/xpl/conhome/10328967/proceeding (Proceedings) http://iwagpr2023.lnec.pt (Website)

Conference

Conference	International Workshop on Advanced Ground Penetrating Radar (IWAGPR) 2023
Abbreviated title	IWAGPR 2023
Country/Territory	Portugal
City	Lisbon
Period	5/07/23 → 7/07/23
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10328967/proceeding (Proceedings) http://iwagpr2023.lnec.pt (Website)

Keywords

FDTD simulation
GPR
permeability analysis
pipeline
water leakage detection

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10.1109/IWAGPR57138.2023.10329067

Cite this

@inproceedings{660ec0e03c4a4ff286d91c15827d24af,

title = "GPR-based water pipe leakage detection with interoperability-enhanced modelling",

abstract = "GPR has the proven ability to inspect invisible underground infrastructures such as utility tunnels and water pipelines. Simulation plays a critical role in interpreting GPR data while model reconstruction remains a big challenge, particularly for complicated scenarios. To ease the modelling complexity, this study proposed a workflow to improve the interoperability between the graphical design application, the geotechnical analyser, and the electromagnetic (EM) simulator. Taking water pipe leakage detection as an example, the geometric model was generated in Rhino and shared with FLAC3D for permeability simulation. Afterwards, coupling the graphical information using a Grasshopper plug-in with the saturation results via the Complex Refractive Index Model (CRIM), a detailed dielectric model got reconstructed in gprMax for FDTD simulations.",

keywords = "FDTD simulation, GPR, permeability analysis, pipeline, water leakage detection",

author = "Huamei Zhu and Feng Xiao and Yimin Zhou and Lai, \{Wallace Wai Lok\} and Qianbing Zhang",

note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank the Strategic Alliance Student Exchange Program of Monash University and Research Student Attachment Program of The Hong Kong Polytechnic University. The computational tasks in this study were empowered by the AWS-Monash Seed Project. The Hong Kong Water Supplies Department is also acknowledged for providing technical support. The authors would like to extend their appreciation to Professor Antonis Giannopoulos for his valuable suggestions. Publisher Copyright: {\textcopyright} 2023 IEEE.; <br/>International Workshop on Advanced Ground Penetrating Radar (IWAGPR) 2023, IWAGPR 2023 ; Conference date: 05-07-2023 Through 07-07-2023",

year = "2023",

doi = "10.1109/IWAGPR57138.2023.10329067",

language = "English",

booktitle = "2023 12th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2023",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/10328967/proceeding, http://iwagpr2023.lnec.pt",

}

Zhu, H, Xiao, F, Zhou, Y, Lai, WWL & Zhang, Q 2023, GPR-based water pipe leakage detection with interoperability-enhanced modelling. in 2023 12th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2023. IEEE, Institute of Electrical and Electronics Engineers,
International Workshop on Advanced Ground Penetrating Radar (IWAGPR) 2023, Lisbon, Portugal, 5/07/23. https://doi.org/10.1109/IWAGPR57138.2023.10329067

TY - GEN

T1 - GPR-based water pipe leakage detection with interoperability-enhanced modelling

AU - Zhu, Huamei

AU - Xiao, Feng

AU - Zhou, Yimin

AU - Lai, Wallace Wai Lok

AU - Zhang, Qianbing

N1 - Conference code: 12th

PY - 2023

Y1 - 2023

N2 - GPR has the proven ability to inspect invisible underground infrastructures such as utility tunnels and water pipelines. Simulation plays a critical role in interpreting GPR data while model reconstruction remains a big challenge, particularly for complicated scenarios. To ease the modelling complexity, this study proposed a workflow to improve the interoperability between the graphical design application, the geotechnical analyser, and the electromagnetic (EM) simulator. Taking water pipe leakage detection as an example, the geometric model was generated in Rhino and shared with FLAC3D for permeability simulation. Afterwards, coupling the graphical information using a Grasshopper plug-in with the saturation results via the Complex Refractive Index Model (CRIM), a detailed dielectric model got reconstructed in gprMax for FDTD simulations.

AB - GPR has the proven ability to inspect invisible underground infrastructures such as utility tunnels and water pipelines. Simulation plays a critical role in interpreting GPR data while model reconstruction remains a big challenge, particularly for complicated scenarios. To ease the modelling complexity, this study proposed a workflow to improve the interoperability between the graphical design application, the geotechnical analyser, and the electromagnetic (EM) simulator. Taking water pipe leakage detection as an example, the geometric model was generated in Rhino and shared with FLAC3D for permeability simulation. Afterwards, coupling the graphical information using a Grasshopper plug-in with the saturation results via the Complex Refractive Index Model (CRIM), a detailed dielectric model got reconstructed in gprMax for FDTD simulations.

KW - FDTD simulation

KW - GPR

KW - permeability analysis

KW - pipeline

KW - water leakage detection

UR - https://www.scopus.com/pages/publications/85181539755

U2 - 10.1109/IWAGPR57138.2023.10329067

DO - 10.1109/IWAGPR57138.2023.10329067

M3 - Conference Paper

AN - SCOPUS:85181539755

BT - 2023 12th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2023

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - <br/>International Workshop on Advanced Ground Penetrating Radar (IWAGPR) 2023

Y2 - 5 July 2023 through 7 July 2023

ER -

GPR-based water pipe leakage detection with interoperability-enhanced modelling

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