Dr Chi Zhang

Dr Chi Zhang

School of Civil Engineering and Construction

College of Engineering and Information Technology

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

Date Position Institution name
2019 - ongoing Adjunct Lecturer University of Adelaide
2019 - ongoing Data Scientist South Australian Water Corporation

Date Institution name Country Title
2014 - 2018 University of Adelaide Australia PhD

Year Citation
2023 Zhang, C., Alexander, B. J., Stephens, M. L., Lambert, M. F., & Gong, J. (2023). A convolutional neural network for pipe crack and leak detection in smart water network. Structural Health Monitoring: an international journal, 22(1), 232-244.
DOI Scopus36 WoS34
2022 Stephens, M., Zhang, C., & Lambert, M. (2022). Rate of change processing of acoustic data from a permanent monitoring system for pipe crack early identification: a case study. Journal of Water Resources Planning and Management, 148(2), 1-15.
DOI Scopus10 WoS9
2022 Zhang, C., Stephens, M. L., Lambert, M. F., Alexander, B. J., & Gong, J. (2022). Acoustic Signal Classification by Support Vector Machine for Pipe Crack Early Warning in Smart Water Networks. Journal of Water Resources Planning and Management, 148(7), 04022035-1-04022035-10.
DOI Scopus18 WoS14
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 Scopus32 WoS28
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 Scopus20 WoS15
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 Scopus22 WoS20
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 Scopus57 WoS50
2019 Zhang, C., Gong, J., Simpson, A. R., Zecchin, A. C., & Lambert, M. F. (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 Scopus14 WoS13
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 Scopus15 WoS14
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 Scopus30 WoS29
2018 Zhang, C., Zecchin, A. C., Lambert, M. F., Gong, J., & Simpson, A. R. (2018). Multi-stage parameter-constraining inverse transient analysis for pipeline condition assessment. Journal of Hydroinformatics, 20(2), 281-300.
DOI Scopus26 WoS21

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 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 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.
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).

Date Role Research Topic Program Degree Type Student Load Student Name
2024 Co-Supervisor Detecting Cracks in Smart Water Networks using IoT and Machine Learning Techniques Doctor of Philosophy Doctorate Full Time Miss Ruilin Liu
2024 Co-Supervisor Detecting Cracks in Smart Water Networks using IoT and Machine Learning Techniques Doctor of Philosophy Doctorate Full Time Miss Ruilin Liu

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