Researcher Profiles

Chi Zhang

School of Architecture and Civil Engineering

Faculty of Sciences, Engineering and Technology

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

Career
Publications
Supervision
Contact

Appointments

Date Position Institution name

2019 - ongoing Adjunct Lecturer University of Adelaide

2019 - ongoing Data Scientist South Australian Water Corporation
Education

Date Institution name Country Title

2014 - 2018 University of Adelaide Australia PhD

Journals

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 Scopus26 WoS9
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 Scopus8 WoS5
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 Scopus10 WoS3
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 Scopus28 WoS18
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 Scopus13 WoS9
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 Scopus17 WoS11
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 Scopus50 WoS25
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 Scopus10 WoS8
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 Scopus11 WoS8
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 Scopus28 WoS25
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 Scopus24 WoS19

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	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).

Current Higher Degree by Research Supervision (University of Adelaide)

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

Email: chi.zhang05@adelaide.edu.au

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