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Dr James Gong

STAFF PROFILE

Position

Lecturer, Civil Water Engineering

Faculty

Faculty of Sci Eng & Built Env

Department

School of Engineering

Campus

Geelong Waurn Ponds Campus

Qualifications

Doctor of Philosophy, University of Adelaide, 2014

Biography summary

Dr Jinzhe (James) Gong is passionate about solving pressing issues in the water industry through innovation. His key research interests and expertise include Smart Water Network design and data analytics, hydraulic analysis of pipeline systems, and condition assessment of civil infrastructure. James is currently a Lecturer in Water Engineering at Deakin University (Geelong Waurn Ponds Campus).

Prior to joining Deakin University, James worked as a Data Analytics Engineer in South Australian Water Corporation (SA Water) for the Adelaide City Smart Water Network project, and a Senior Research Fellow at the University of Adelaide. His work in SA Water has contributed to a 50% reduction in the pipe break rate in the Adelaide city water network. One of his research outcomes – a hydraulic transient-based pipe wall condition screening tool – has been successfully commercialised through a business partner under the trademark of p-CAT.

James completed his PhD in Water Engineering at the University of Adelaide in 2014. He also holds a master's and a bachelor's degree in Applied Geophysics.

Career highlights

Development and implementation of a pipe break early warning system for water distribution systems
Dr Gong worked as a Smart Water Data Analytics Engineer in South Australian Water Corporation (on secondment from University of Adelaide) from 2017 to 2019. He initiated the research collaboration between University of Adelaide and SA Water on the research theme of Smart Water, and contributed to the operation and R&D of the Adelaide CBD Smart Water Network. Dr Gong has developed techniques (together with researchers from University of Adelaide and engineers from SA Water) to detect emerging through-wall pipe cracks/leaks for pipe break early warning using IoT-based permanent acoustic monitoring. This work has resulted in a 50% reduction in the pipe break rate of the Adelaide CBD water distribution system. His Ozwater’18 conference paper Leak Detection in the Adelaide CBD Water Network has been selected as one of the top papers by the Australian Water Association.

Development and commercialisation of a pipeline condition assessment technology
Dr Gong was a Post-doctoral Research Fellow at the University of Adelaide from 2014 to 2019. He has developed (together with researchers at University of Adelaide) a patented technology on pipeline condition assessment using controlled transient pressure waves (water hammer). The technology has been commercialised through an industry partner under the trade mark of p-CAT, and it is a tool for cost-effective screening of the pipeline condition for long-distance water transmission mains. In addition to the detection of pipe sections with wall deterioration, it can also detect blockages, air pockets, pipe material or class changes, and unregistered connections. The company was awarded the TRILITY Planning & Delivery Award for this pipeline condition assessment technology at the 2016 Smart Water Awards in South Australia. This work represented the University of Adelaide for the Engineering field (FoR code 09) in the Australian Research Council’s 2018 Engagement and Impact assessment, and has achieved the maximum High score across all measures.

Research interests

Smart Water Network Design and Analysis
• Detection of developing leaks induced by cracked pipes for pipe break early warning
• Performance assessment and optimisation of water distribution systems 
• Real-time operation monitoring and adjustment

Hydraulic Analysis of Pipeline Systems
• Steady and unsteady flow modelling and analysis
• Optimisation of the design, operation and maintenance
• Failure investigation and risk mitigation

Intelligent Structural Health Monitoring and Assessment
• Smart sensing and data analytics
• Non-destructive performance monitoring and condition assessment of civil infrastructure

Knowledge areas

  • Hydraulics
  • Applied Geophysics

Professional activities

Executive Committee Member, Early- and Mid-Career Researcher (EMCR) Forum, Australian Academy of Science
This forum is run by and for all early- and mid-career researchers in science, technology, engineering and mathematics (STEM) in Australia. It is the national voice of Australia's emerging scientists, representing researchers who are up to 15 years post-PhD (or other research higher degree), irrespective of their professional appointment.

Research groups

PhD Oppotunities Available

Dr Gong works with University of Adelaide and South Australian Water Corporation (SA Water) on the research theme of Smart Water. The multidisciplinary research group welcomes PhD applicants with a relevant background and interest in one or more of the areas: fluid mechanics, acoustics, mathematics, inverse theory, applied geophysics, signal processing, machine learning, and electrical & electronics engineering.

The group will provide opportunities for the PhD candidates to conduct analytical, numerical and experimental research to address scientific and practical problems associated with the topics of pipeline leak detection, pipeline condition assessment, smart water system design and data analytics, and premature failure investigation and prevention for pipe systems. Other topics relevant to water engineering or structural health monitoring can also be offered. The PhD program will be customised to suit individual’s interests and strength. Industry placement opportunities will be provided to enhance the practical skills of the candidates. Top-up scholarships and travel scholarships are available and based on academic merit.

PhD graduates will have access to diverse career pathways. Job opportunities will be available in (but not limited to) the following sectors: water utilities, consulting or engineering companies, governments, research institutes and universities.

Awards

2018    Best Paper Award
Awarded by the committee of the 13th International Conference on Pressure Surges, held in Bordeaux, France, for my paper Correlation of Post-Burst Hydraulic Transient Noise for Pipe Burst/Leak Localisation in Water Distributions Systems.

2015    Best Reviewer
Awarded by the committee of the 12th International Conference on Pressure Surges, Dublin.

2014    Dean’s Commendation for Doctoral Thesis Excellence
Awarded by the Graduate Centre of the University of Adelaide.

2013    AWA Postgraduate Research Award
Awarded by Australian Water Association (AWA) South Australia branch.

2011    Best Paper Award
Awarded by the committee of the International Conference on Pipelines and Trenchless Technology (ICPTT) 2011, held in Beijing China and sponsored by American Society of Civil Engineers (ASCE), for my paper and presentation Detection of Distributed Deterioration in Single Pipes using Transient Reflections. The paper was significantly expanded, peer-reviewed and published in ASCE Journal of Pipeline Systems Engineering and Practice

2011    Winner of the Three Minute Thesis (3MT) competition
Faculty of Engineering, Computer & Mathematical Sciences, the University of Adelaide

Projects

ARC (Australian Research Council) Projects

• DP190102484 Next-generation smart water network for performance-driven asset management (2019 - 2021)
Professor Martin Lambert; Dr Jinzhe Gong; Dr Aaron Zecchin; Professor Angus Simpson; Dr Mark Stephens
This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation smart water technology that enables continuous assessment of the actual performance of water pipe networks, guide “just in time” pipe replacement and optimise operations. This technology will assist asset managers to make informed decisions, strategically prioritise investment and extend asset life.

• LP180100569 Detecting developing cracks before pipe bursts using smart sensor systems (2019 - 2021)
Professor Martin Lambert; Professor Benjamin Cazzolato; Dr Jinzhe Gong; Dr Mark Stephens
This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city environments. Expected outcomes include an effective pipe burst early warning system and the implementation of an active burst prevention and targeted pipe replacement strategy. This should significantly reduce the burst rates and associated interruptions in Adelaide and save millions of dollars every year in pipe relay programs.

Publications

Filter by

2020

Paired-IRF Method for Detecting Leaks in Pipe Networks

W Zeng, J Gong, A Simpson, B Cazzolato, A Zecchin, M Lambert

(2020), Vol. 146, pp. 1-11, Journal of Water Resources Planning and Management, New York, N.Y., C1

journal
2019

Detection of extended blockages in pressurised pipelines using hydraulic transients with a layer-peeling method

W Zeng, J Gong, M Lambert, A Simpson, B Cazzolato, A Zecchin

(2019), Vol. 240, pp. 1-7, IAHR 2018 : Proceedings of the 29th IAHR Symposium on Hydraulic Machinery and Systems, Kyoto, Japan, E1

conference

Wave separation and pipeline condition assessment using in-pipe fibre optic pressure sensors

H Shi, J Gong, P Cook, J Arkwright, G Png, M Lambert, A Zecchin, A Simpson

(2019), Vol. 21, pp. 371-379, Journal of hydroinformatics, Colchester, Eng., C1-1

journal

Impedance estimation along pipelines by generalized reconstructive method of characteristics for pipeline condition assessment

C Zhang, J Gong, A Simpson, A Zecchin, M Lambert

(2019), Vol. 145, pp. 1-10, Journal of hydraulic engineering, Reston, Va., C1-1

journal

Impact of main pipe flow velocity on leakage and intrusion flow: an experimental study

Y Shao, T Yao, J Gong, J Liu, T Zhang, T Yu

(2019), Vol. 11, pp. 1-12, Water, Basel, Switzerland, C1-1

journal

Condition assessment of pipelines using a Bi-directional layer-peeling method and a dual-sensor configuration

W Zeng, J Gong, B Cazzolato, A Zecchin, M Lambert, A Simpson

(2019), Vol. 457, pp. 181-196, Journal of sound and vibration, Amsterdam, The Netherlands, C1-1

journal

Experimental study of dynamic effects of iron cacteria-formed biofilms on pipeline head loss and roughness

J Gong, M Erkelens, M Lambert, P Forward

(2019), Vol. 145, Journal of water resources planning and management, Reston, Va., C1-1

journal

Sensor placement strategy for pipeline condition assessment using inverse transient analysis

C Zhang, J Gong, M Lambert, A Simpson, A Zecchin

(2019), Vol. 33, pp. 2761-2774, Water resources management, Cham, Switzerland, C1-1

journal
2018

Correlation of post-burst hydraulic transient noise for pipe burst/leak localisation in water distributions systems

J Gong, S Nguyen, M Stephens, M Lambert, A Marchi, A Simpson, A Zecchin

(2018), Vol. 1, pp. 201-215, 13th International Conference on Pressure Surges, Bordeaux, France, E1-1

conference

Condition assessment of water pipelines using a modified layer-peeling method

W Zeng, J Gong, A Zecchin, A Lambert, M Simpson, B Cazzolato

(2018), Vol. 144, Journal of hydraulic engineering, Reston, Va., C1-1

journal

In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection

J Gong, G Png, J Arkwright, A Papageorgiou, P Cook, M Lambert, A Simpson, A Zecchin

(2018), Vol. 126, pp. 309-317, Measurement: journal of the international measurement confederation, Amsterdam, The Netherlands, C1-1

journal

Multi-stage parameter-constraining inverse transient analysis for pipeline condition assessment

C Zhang, A Zecchin, M Lambert, J Gong, A Simpson

(2018), Vol. 20, pp. 281-300, Journal of hydroinformatics, London, Eng., C1-1

journal

Pressure surge suppression using a metallic-plastic-metallic pipe configuration

J Gong, M Stephens, M Lambert, A Zecchin, A Simpson

(2018), Vol. 144, pp. 1-12, Journal of hydraulic engineering, Reston, Va., C1-1

journal

Signal-noise identification of magnetotelluric signals using fractal-entropy and clustering algorithm for targeted de-noising

J Li, X Zhang, J Gong, J Tang, Z Ren, G Li, Y Deng, J Cai

(2018), Vol. 26, pp. 1-18, Fractals, Singapore, C1-1

journal

Faster inverse transient analysis with a head-based method of characteristics and a flexible computational grid for pipeline condition assessment

C Zhang, J Gong, A Zecchin, M Lambert, A Simpson

(2018), Vol. 144, pp. 1-12, Journal of hydraulic engineering, Reston, Va., C1-1

journal

Inverse transient analysis using the head-based method of characteristics with a flexible grid: a laboratory verification

C Zhang, J Gong, A Simpson, M Lambert, A Zecchin

(2018), Vol. 2, pp. 785-793, 13th International Conference on Pressure Surges, Bordeaux, France, E1-1

conference

Detecting thinner-walled pipe sections using a spark transient pressure wave generator

J Gong, M Lambert, S Nguyen, A Zecchin, A Simpson

(2018), Vol. 144, pp. 1-8, Journal of hydraulic engineering, Reston, Va., C1-1

journal

Experimental validation of the admittance matrix method on a Y-system

C Capponi, M Ferrante, A Zecchin, J Gong

(2018), Vol. 56, pp. 439-450, Journal of hydraulic research, Abingdon, Eng., C1-1

journal

Least squares deconvolution for leak detection with a pseudo random binary sequence excitation

S Nguyen, J Gong, M Lambert, A Zecchin, A Simpson

(2018), Vol. 99, pp. 846-858, Mechanical systems and signal processing, Amsterdam, The Netherlands, C1-1

journal
2017

Hydraulic transient wave separation algorithm using a dual-sensor with applications to pipeline condition assessment

H Shi, J Gong, A Zecchin, M Lambert, A Simpson

(2017), Vol. 19, pp. 752-765, Journal of hydroinformatics, Colchester, Eng., C1-1

journal

Numerical study on accuracy of frequency-domain modelling of transients

C Capponi, A Zecchin, M Ferrante, J Gong

(2017), Vol. 55, pp. 813-828, Journal of hydraulic research/de recherches hydrauliques, Abingdon, Eng., C1-1

journal

Leak detection in a branched system by inverse transient analysis with the admittance matrix method

C Capponi, M Ferrante, A Zecchin, J Gong

(2017), Vol. 31, pp. 4075-4089, Water resources management, Dordrecht, The Netherlands, C1-1

journal
2016

Determination of the creep function of viscoelastic pipelines using system resonant frequencies with hydraulic transient analysis

J Gong, A Zecchin, M Lambert, A Simpson

(2016), Vol. 142, Journal of hydraulic engineering, Reston, Va., C1-1

journal

Field study on non-invasive and non-destructive condition assessment for asbestos cement pipelines by time-domain fluid transient analysis

J Gong, M Lambert, A Zecchin, A Simpson, N Arbon, Y Kim

(2016), Vol. 15, pp. 113-124, International journal of structural health monitoring, London, Eng., C1-1

journal

Experimental verification of pipeline frequency response extraction and leak detection using the inverse repeat signal

J Gong, M Lambert, A Zecchin, A Simpson

(2016), Vol. 54, pp. 210-219, Journal of hydraulic research/de recherches hydrauliques, Abingdon, Eng., C1-1

journal
2015

Field study on pipeline parameter identification using fluid transient waves with time-domain analysis

J Gong, Y Kim, H Fandnch, M Lambert, A Simpson, A Zecchin

(2015), pp. 595-607, Proceedings of the 12th International Conference on Pressure Surges, Dublin, Ireland, E1-1

conference

Study on the frequency response function of viscoelastic pipelines using a multi-element Kevin-Voigt model

J Gong, A Zecchin, M Lambert, A Simpson

(2015), Vol. 119, pp. 226-234, CCWI2015 : Procedia Engineering - Computing and Control for the Water Industry : Sharing the best practice in water management, Leicester, England, E1-1

conference

On-site non-invasive condition assessment for cement mortar-lined metallic pipelines by time-domain fluid transient analysis

J Gong, M Stephens, N Arbon, A Zecchin, M Lambert, A Simpson

(2015), Vol. 14, pp. 426-438, International journal of structural health monitoring, London, Eng., C1-1

journal
2014

Condition assessment in hydraulically noisy pipeline systems using a pressure wave splitting method

A Zecchin, J Gong, A Simpson, M Lambert

(2014), Vol. 89, pp. 1336-1342, WDSA 2014 : Proceedings of the 16th Conference on Water Distribution System Analysis 2014, Bari, Italy, E1-1

conference

3D frequency domain controlled source electromagnetic numerical modeling with coupled finite-infinite element method

J Tang, L Zhang, J Gong, X Xiao

(2014), Vol. 45, pp. 1251-1260, Zhongnan Daxue Xuebao (ziran kexue ban)/Journal of Central South University (science and technology), Changsha, China, C1-1

journal

Frequency response diagram for pipeline leak detection: comparing the odd and even harmonics

J Gong, A Zecchin, A Simpson, M Lambert

(2014), Vol. 140, pp. 65-74, Journal of water resources planning and management, Reston, Va., C1-1

journal

Detection of localized deterioration distributed along single pipelines by reconstructive MOC analysis

J Gong, M Lambert, A Simpson, A Zecchin

(2014), Vol. 140, pp. 190-198, Journal of hydraulic engineering, Reston, Va., C1-1

journal
2013

Determination of the linear frequency response of single pipelines using persistent transient excitation: a numerical investigation

J Gong, A Simpson, M Lambert, A Zecchin

(2013), Vol. 51, pp. 728-734, Journal of hydraulic research, Abingdon, Eng., C1-1

journal

Detection of distributed deterioration in single pipes using transient reflections

J Gong, A Simpson, M Lambert, A Zecchin, Y Kim, A Tijsseling

(2013), Vol. 4, pp. 32-40, Journal of pipeline systems engineering and practice, Reston, Va., C1-1

journal

Single-event leak detection in pipeline using first three resonant responses

J Gong, M Lambert, A Simpson, A Zecchin

(2013), Vol. 139, pp. 645-655, Journal of hydraulic engineering, Reston, Va., C1-1

journal
2012

Signal separation for transient wave reflections in single pipelines using inverse filters

J Gong, A Zecchin, M Lambert, A Simpson

(2012), pp. 3275-3284, World Environmental and Water Resources Congress 2012: Crossing Boundaries, Proceedings of the 2012 Congress, E1-1

conference

Distributed deterioration detection in single pipes using the impulse response function

J Gong, M Lambert, A Simpson, A Zecchin

(2012), Vol. 1, pp. 702-719, 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012, E1-1

conference

Distributed deterioration detection in single pipelines using transient measurements from pressure transducer pairs

J Gong, M Lambert, A Simpson, A Zecchin

(2012), pp. 127-140, BHR Group - 11th International Conferences on Pressure Surges, E1-1

conference
2010

A practical scheme for 3D geoelectrical forward modeling with finite-infinite element coupling method

J Tang, J Gong

(2010), Vol. 1, pp. 427-431, Progress in Electromagnetics Research Symposium, E1-1

conference

A Practical Scheme for 3D Geoelectrical Forward Modeling with Finite-infinite Element Coupling Method

Jing-Tian Tang, Jin-Zhe Gong

(2010), pp. 437-441, PIERS 2010 XI'AN: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2, Xi'an, PEOPLES R CHINA, E1-1

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report