Jinzhe Gong

Dr Jinzhe Gong

Adjunct Lecturer

School of Civil, Environmental and Mining Engineering

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


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.

Expertise and interest

Hydraulic transient analysis in pipelines

Hydraulic transient-based pipeline leak detection and condition assessment

Smart Water Network technology

 

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  • Appointments

    Date Position Institution name
    2019 Adjunct Lecturer University of Adelaide
    2019 Lecturer Deakin University
    2014 - 2019 ARC Research Associate University of Adelaide
  • Language Competencies

    Language Competency
    Chinese (Mandarin) Can read, write, speak, understand spoken and peer review
    English Can read, write, speak, understand spoken and peer review
  • Education

    Date Institution name Country Title
    2010 - 2014 University of Adelaide Australia Ph.D (Civil)
    2007 - 2009 Central South University China M. Eng. (Applied Geophysics)
    2003 - 2007 Central South University China B. Eng. (Applied Geophysics)
  • Certifications

    Date Title Institution name Country
    2020 Graduate Certificate of Higher Education Learning and teaching Deakin University Australia
  • Research Interests

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  • Journals

    Year Citation
    2021 Zeng, W., Zecchin, A. C., Cazzolato, B. S., Simpson, A. R., Gong, J., & Lambert, M. F. (2021). Extremely Sensitive Anomaly Detection in Pipe Networks Using a Higher-Order Paired-Impulse Response Function with a Correlator. Journal of Water Resources Planning and Management, 147(10), 1-10.
    DOI
    2020 Stephens, M., Gong, J., Zhang, C., Marchi, A., Dix, L., & Lambert, M. F. (2020). Leak-before-break main failure prevention for water distribution pipes using acoustic smart water technologies: case study in Adelaide. Journal of Water Resources Planning and Management, 146(10), 1-13.
    DOI Scopus5 WoS5
    2020 Zeng, W., Gong, J., Simpson, A., Cazzolato, B., Zecchin, A., & Lambert, M. (2020). Paired-IRF Method for Detecting Leaks in Pipe Networks. Journal of Water Resources Planning and Management, 146(5), 04020021-1-04020021-11.
    DOI Scopus7 WoS7
    2020 Gong, J., Lambert, M. F., Stephens, M. L., Cazzolato, B. S., & Zhang, C. (2020). Detection of emerging through-wall cracks for pipe break early warning in water distribution systems using permanent acoustic monitoring and acoustic wave analysis. Water Resources Management, 34(8), 2419-2432.
    DOI Scopus3 WoS3
    2020 Zhang, C., Lambert, M. F., Gong, J., Zecchin, A. C., Simpson, A. R., & Stephens, M. L. (2020). Bayesian inverse transient analysis for pipeline condition assessment: parameter estimation and uncertainty quantification. Water Resources Management, 34(9), 2804-2820.
    DOI Scopus5 WoS6
    2020 Zeng, W., Zecchin, A. C., Gong, J., Lambert, M. F., Simpson, A. R., & Cazzolato, B. S. (2020). Inverse wave reflectometry method for hydraulic transient-based pipeline condition assessment. Journal of Hydraulic Engineering, 146(8), 04020056-1-04020056-11.
    DOI Scopus2 WoS2
    2020 Zeng, W., Gong, J., Cook, P. R., Arkwright, J. W., Simpson, A. R., Cazzolato, B. S., . . . Lambert, M. F. (2020). Leak detection for pipelines using in-pipe optical fiber pressure sensors and a paired-IRF technique. Journal of Hydraulic Engineering, 146(10), 06020013-1-06020013-6.
    DOI Scopus2 WoS2
    2020 Shi, H., Gong, J., Simpson, A. R., Zecchin, A. C., & Lambert, M. F. (2020). Leak detection in virtually isolated pipe sections within a complex pipe system using a two-source-four-sensor transient testing configuration. JOURNAL OF HYDROINFORMATICS, 22(5), 1306-1320.
    DOI WoS1
    2020 Zhang, C., Lambert, M., Stephens, M., Gong, J., & Cazzolato, B. S. (2020). Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks. Urban Water Journal, 17(9), 827-837.
    DOI
    2019 Shao, Y., Yao, T., Gong, J., Liu, J., Zhang, T., & Yu, T. (2019). Impact of main pipe flow velocity on leakage and intrusion flow: an experimental study. Water, 11(1), 118-1-118-12.
    DOI Scopus7 WoS3
    2019 Zhang, C., Gong, J., Simpson, A., Zecchin, A., & Lambert, M. (2019). Impedance estimation along pipelines by generalized reconstructive method of characteristics for pipeline condition assessment. Journal of Hydraulic Engineering, 145(4), 04019010-1-04019010-10.
    DOI Scopus5 WoS4
    2019 Shi, H., Gong, J., Cook, P. R., Arkwright, J. W., Png, G. M., Lambert, M. F., . . . Simpson, A. R. (2019). Wave separation and pipeline condition assessment using in-pipe fibre optic pressure sensors. JOURNAL OF HYDROINFORMATICS, 21(2), 371-379.
    DOI Scopus6 WoS5
    2019 Zeng, W., Gong, J., Cazzolato, B., Zecchin, A., Lambert, M., & Simpson, A. (2019). Condition assessment of pipelines using a bi-directional layer-peeling method and a dual-sensor configuration. Journal of Sound and Vibration, 457, 181-196.
    DOI Scopus5 WoS5
    2019 Zhang, C., Gong, J., Lambert, M. F., Simpson, A. R., & Zecchin, A. C. (2019). Sensor placement strategy for pipeline condition assessment using inverse transient analysis. Water Resources Management, 33(8), 2761-2774.
    DOI Scopus3 WoS3
    2019 Gong, J., Erkelens, M., Lambert, M., & Forward, P. (2019). Experimental study of dynamic effects of iron bacteria-formed biofilms on pipeline head loss and roughness. Journal of Water Resources Planning and Management, 145(9), 04019038-1-04019038-11.
    DOI Scopus1 WoS2
    2018 Nguyen, S., Gong, J., Lambert, M., Zecchin, A., & Simpson, A. (2018). Least squares deconvolution for leak detection with a pseudo random binary sequence excitation. Mechanical Systems and Signal Processing, 99, 846-858.
    DOI Scopus40 WoS32
    2018 Gong, J., Lambert, M., Nguyen, S., Zecchin, A., & Simpson, A. (2018). Detecting thinner-walled pipe sections using a spark transient pressure wave generator. Journal of Hydraulic Engineering, 144(2), 06017027-1-06017027-8.
    DOI Scopus25 WoS23
    2018 Capponi, C., Ferrante, M., Zecchin, A., & Gong, J. (2018). Experimental validation of the admittance matrix method on a Y-system. Journal of Hydraulic Research, 56(4), 439-450.
    DOI Scopus6 WoS7
    2018 Zhang, C., Gong, J., Zecchin, A., Lambert, M., & Simpson, A. (2018). Faster inverse transient analysis with a head-based method of characteristics and a flexible computational grid for pipeline condition assessment. Journal of Hydraulic Engineering, 144(4), 04018007-1-04018007-12.
    DOI Scopus17 WoS17
    2018 Li, J., Zhang, X., Gong, J., Tang, J., Ren, Z., Li, G., . . . Cai, J. (2018). SIGNAL-NOISE IDENTIFICATION of MAGNETOTELLURIC SIGNALS USING FRACTAL-ENTROPY and CLUSTERING ALGORITHM for TARGETED DE-NOISING. Fractals, 26(2), 18 pages.
    DOI Scopus24 WoS25
    2018 Gong, J., Stephens, M., Lambert, M., Zecchin, A., & Simpson, A. (2018). Pressure surge suppression using a metallic-plastic-metallic pipe configuration. Journal of Hydraulic Engineering, 144(6), 04018025-1-04018025-12.
    DOI Scopus15 WoS8
    2018 Zhang, C., Zecchin, A., Lambert, M., Gong, J., & Simpson, A. (2018). Multi-stage parameter-constraining inverse transient analysis for pipeline condition assessment. Journal of Hydroinformatics, 20(2), 281-300.
    DOI Scopus22 WoS18
    2018 Gong, J., Png, G., Arkwright, J., Papageorgiou, A., Cook, P., Lambert, M., . . . Zecchin, A. (2018). In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection. Measurement: Journal of the International Measurement Confederation, 126, 309-317.
    DOI Scopus25 WoS22
    2018 Zeng, W., Gong, J., Zecchin, A., Lambert, A., Simpson, M., & Cazzolato, B. (2018). Condition assessment of water pipelines using a modified layer-peeling method. Journal of Hydraulic Engineering, 144(12), 04018076-1-04018076-11.
    DOI Scopus9 WoS7
    2017 Shi, H., Gong, J., Zecchin, A., Lambert, M., & Simpson, A. (2017). Hydraulic transient wave separation algorithm using a dual-sensor with applications to pipeline condition assessment. Journal of Hydroinformatics, 19(5), 752-765.
    DOI Scopus11 WoS11
    2017 Capponi, C., Ferrante, M., Zecchin, A., & Gong, J. (2017). Leak detection in a branched system by inverse transient analysis with the admittance matrix method. Water Resources Management, 31(13), 4075-4089.
    DOI Scopus45 WoS43
    2017 Capponi, C., Zecchin, A., Ferrante, M., & Gong, J. (2017). Numerical study on accuracy of frequency-domain modelling of transients. Journal of Hydraulic Research, 55(6), 813-828.
    DOI Scopus11 WoS11
    2016 Gong, J., Lambert, M., Zecchin, A., Simpson, A., Arbon, N., & Kim, Y. (2016). Field study on non-invasive and non-destructive condition assessment for asbestos cement pipelines by time-domain fluid transient analysis. Structural Health Monitoring, 15(1), 113-124.
    DOI Scopus19 WoS18
    2016 Gong, J., Zecchin, A., Lambert, M., & Simpson, A. (2016). Determination of the creep function of viscoelastic pipelines using system resonant frequencies with hydraulic transient analysis. Journal of Hydraulic Engineering, 142(9), 04016023-1-04016023-12.
    DOI Scopus20 WoS18
    2016 Gong, J., Lambert, M., Zecchin, A., & Simpson, A. (2016). Experimental verification of pipeline frequency response extraction and leak detection using the inverse repeat signal. Journal of Hydraulic Research, 54(2), 210-219.
    DOI Scopus26 WoS25
    2015 Gong, J., Stephens, M., Arbon, N., Zecchin, A., Lambert, M., & Simpson, A. (2015). On-site non-invasive condition assessment for cement mortar-lined metallic pipelines by time-domain fluid transient analysis. Structural Health Monitoring, 14(5), 426-438.
    DOI Scopus31 WoS31
    2015 Gong, J., Lambert, M., Simpson, A., & Zecchin, A. (2015). Closure to "single-event leak detection in pipeline using first three resonant responses" by Jinzhe Gong, Martin F. Lambert, Angus R. Simpson, and Aaron C. Zecchin. Journal of Hydraulic Engineering, 141(2), 07014020.
    DOI Scopus1
    2014 Gong, J., Zecchin, A., Simpson, A., & Lambert, M. (2014). Frequency response diagram for pipeline leak detection: comparing the odd and the even harmonics. Journal of Water Resources Planning and Management, 140(1), 65-74.
    DOI Scopus36 WoS29
    2014 Gong, J., Lambert, M., Simpson, A., & Zecchin, A. (2014). Detection of localized deterioration distributed along single pipelines by reconstructive MOC analysis. Journal of Hydraulic Engineering, 140(2), 190-198.
    DOI Scopus44 WoS40
    2014 Tang, J., Zhang, L., Gong, J., & Xiao, X. (2014). 3D frequency domain controlled source electromagnetic numerical modeling with coupled finite-infinite element method. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 45(4), 1251-1260.
    Scopus12
    2013 Gong, J., Simpson, A., Lambert, M., & Zecchin, A. (2013). Determination of the linear frequency response of single pipelines using persistent transient excitation: a numerical investigation. Journal of Hydraulic Research, 51(6), 728-734.
    DOI Scopus6 WoS5
    2013 Gong, J., Lambert, M., Simpson, A., & Zecchin, A. (2013). Single-event leak detection in pipeline using first three resonant responses. Journal of Hydraulic Engineering, 139(6), 645-655.
    DOI Scopus51 WoS47
    2013 Gong, J., Simpson, A., Lambert, M., Zecchin, A., Kim, Y., & Tijsseling, A. (2013). Detection of distributed deterioration in single pipes using transient reflections. Journal of Pipeline Systems Engineering and Practice, 4(1), 32-40.
    DOI Scopus46 WoS42
    2010 Tang, J., & Gong, J. (2010). 3D DC resistivity forward modeling by finite-infinite element coupling method. Chinese Journal of Geophysics-Chinese Edition, 53(3), 717-728.
    DOI Scopus8 WoS7
    2010 Tang, J., & Gong, J. (2010). Visualization of the pre-and post-processing in finite element analysis based on GiD. Diqiu Wulixue Jinzhan, 25(1), 186-195.
  • Conference Papers

    Year Citation
    2019 Stephens, M., Gong, J., Zhang, C., Dix, L., & Lambert, M. (2019). Performance of the permanent acoustic monitoring system for the Adelaide CBD water network. In Proceedings of the Ozwater'19 conference (pp. 1-8). online: Australian Water.
    2018 Gong, J., Nguyen, S., Stephens, M., Lambert, M., Marchi, A., Simpson, A., & Zecchin, A. (2018). Correlation of post-burst hydraulic transient noise for pipe burst/leak localisation in water distributions systems. In 13th International Conference on Pressure Surges Vol. 1 (pp. 201-215). Online: BHR Group Limited.
    Scopus5
    2018 Zhang, C., Gong, J., Simpson, A., Lambert, M., & Zecchin, A. (2018). Inverse transient analysis using the head-based method of characteristics with a flexible grid: A laboratory verification. In 13th International Conference on Pressure Surges Vol. 2 (pp. 785-793). UK: BHR Group Limited.
    2018 Zeng, W., Gong, J., Lambert, M., Simpson, A., Cazzolato, B. S., & Zecchin, A. (2018). Detection of extended blockages in pressurised pipelines using hydraulic transients with a layer-peeling method. In IOP Conference Series : Earth and Environmental Science Vol. 240 (pp. 052019-1-052019-7). online: IOP Publishing.
    DOI Scopus2 WoS2
    2018 Stephens, M., Gong, J., Marchi, A., Dix, L., & Lambert, M. (2018). Field testing of Adelaide CBD smart network acoustic technologies. In Proceedings of the 1st International WDSA / CCWI 2018 Joint Conference (pp. 1-8). online: Queens University.
    Scopus3
    2018 Stephens, M., Gong, J., Marchi, A., Dix, L., Wilson, A., & Lambert, M. (2018). Leak detection in the Adelaide CBD water network using permanent acoustic monitoring. In Proceedings of the Ozwater'18 conference (pp. 1-8). online: Australian Water.
    2018 Stephens, M., Marchi, A., Gong, J., Lambert, M., & Simpson, A. (2018). Program of controlled transient field tests in Adelaide CBD smart network. In Proceedings of the 1st International WDSA / CCWI Joint Conference (pp. 1-8). online: Queen's University.
    Scopus3
    2018 Zhang, C., Lambert, M., Gong, J., Zeng, W., Simpson, A., Zecchin, A., . . . Marchi, A. (2018). New approaches to pipeline condition assessment using pressure transients. In Proceedings of the 8th Singapore International Water Week. Singapore.
    2018 Gong, J., Stephens, M. L., Lambert, M. F., Zecchin, A. C., & Simpson, A. R. (2018). Analysis of the frequency-dependent attenuation of transient pressure waves in plastic pipes. In 1st International WDSA / CCWI 2018 Joint Conference (pp. 1-8). online: CCWI.
    2017 Gong, J., Lambert, M., Zecchin, A., & Simpson, A. (2017). Hydraulic transient analysis for pipeline leak detection and condition assessment – a selective review on recent developments. In Proceedings of the International Conference on Hydraulic and Environmental Systems. Belagavi, India.
    2017 Lambert, M., Nguyen, S. T., Gong, J., Simpson, A., & Zecchin, A. (2017). Leak detection using pseudo random binary sequence excitation and cepstrum analysis. In Proceedings of the 13th Hydraulics in Water Engineering Conference (pp. 1-8). online: Engineers Australia.
    2017 Stephens, M., Gong, J., Marchi, A., Lambert, M., & Simpson, A. (2017). Transient pressure data collection and characterisation in identifying options for reducing pipe fatigue. In Proceedings of the 13th Hydraulics in Water Engineering Conference (pp. 1-9). online: Engineers Australia.
    2017 Zhang, C., Zecchin, A., Gong, J., Lambert, M., & Simpson, A. (2017). Inverse transient analysis parameter estimation accuracy for systems subject to hydraulic noise and short damaged sections. In Proceedings of the 37th IAHR World Congress 'Learning from the Past for the Future'. Kuala Lumpur, Malaysia: International Association for Hydro-Environment Engineering and Research (IAHR).
    2017 Stephens, M., Marchi, A., Gong, J., Lambert, M., Leonard, M., & Simpson, A. (2017). Understanding the range of influence of moderate-sized and short-duration transients in water distribution systems. In Proceedings of the 15th International Conference on Computing and Control for the Water Industry (CCWI 2017) (pp. 1-9). online: CCWI.
    Scopus3
    2016 Gong, J., Lambert, M., Simpson, A., & Zecchin, A. (2016). A case study on condition assessment of an asbestos cement water pipeline using hydraulic transient pressure waves. In Proceedings of the 14th International Conference of Computing and Control for the Water Industry. Amsterdam, the Netherlands.
    2015 Gong, J., Kim, Y. -I., Fandrich, H., Lambert, M., Simpson, A., & Zecchin, A. (2015). Field study on pipeline parameter identification using fluid transient waves with time-domain analysis. In Proceedings of the 12th International Conference on Pressure Surges (pp. 595-607). Cranfield, UK: BHR Group.
    Scopus1
    2015 Gong, J., Zecchin, A., Lambert, M., & Simpson, A. (2015). Study on the frequency response function of viscoelastic pipelines using a multi-element Kevin-Voigt model. In B. Ulanicki, Z. Kapelan, & J. Boxall (Eds.), Procedia Engineering Vol. 119 (pp. 226-234). Univ Exeter, Leicester, ENGLAND: ELSEVIER SCIENCE BV.
    DOI Scopus16 WoS13
    2015 Shi, H., Gong, J., Arkwright, J., Papageorgiou, A., Lambert, M., Simpson, A., & Zecchin, A. (2015). Transient pressure measurement in pipelines using optical fibre sensor. In Australian and New Zealand Conference on Optics and Photonics 2015 (ANZCOP 2015) (pp. 55-58). Online: Engineers Australia.
    2014 Zecchin, A., Gong, J., Simpson, A., & Lambert, M. (2014). Condition assessment in hydraulically noisy pipeline systems using a pressure wave splitting method. In G. Giustolisi, B. Brunone, D. Laucelli, L. Berardi, & A. Campisano (Eds.), Procedia Engineering Vol. 89 (pp. 1336-1342). Bari, Italy: Elsevier Ltd.
    DOI Scopus5 WoS4
    2012 Gong, J., Zecchin, A., Lambert, M., & Simpson, A. (2012). Signal separation for transient wave reflections in single pipelines using inverse filters. In World Environmental and Water Resources Congress 2012: Crossing Boundaries (pp. 3275-3284). Albuquerque, New Mexico: American Society of Civil Engineers.
    DOI Scopus3
    2012 Gong, J., Lambert, M., Simpson, A., & Zecchin, A. (2012). Distributed deterioration detection in single pipes using the impulse response function. In Proceedings 14th Water Distribution Systems Analysis Conference Vol. 1 (pp. 702-719). Adelaide, SA: Engineers Australia.
    Scopus4
    2012 Gong, J., Lambert, M., Simpson, A., & Zecchin, A. (2012). Distributed deterioration detection in single pipelines using transient measurements from pressure transducer pairs. In Proceedings of the11th International Conferences on Pressure Surges (pp. 127-140). UK: BHR Group.
    Scopus5
    2011 Gong, J., Lambert, M., Zecchin, A., & Simpson, A. (2011). Frequency response measurement of pipelines by using inverse-repeat binary sequences. In Proceedings of Computing and Control for the Water Industry 2011 Vol. 3 (pp. 1-6). United Kingdom.
    Scopus3
    2010 Tang, J., & Gong, J. (2010). A practical scheme for 3D geoelectrical forward modeling with finite-infinite element coupling method. In PIERS Proceedings Vol. 1 (pp. 437-441). United States: Electromagnetics Academy.
  • Position: Adjunct Lecturer
  • Phone: 83131231
  • Email: jinzhe.gong@adelaide.edu.au
  • Fax: 8313 4359
  • Campus: North Terrace
  • Building: Engineering North, floor 1
  • Room: 1 25
  • Org Unit: School of Civil, Environmental and Mining Engineering

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