Zheng GUAN (管铮）

Registered Geotechnical and Structural Engineer

Research Assistant Professor

State Key Laboratory of Internet of Things for Smart City

Department of Civil and Environmental Engineering

University of Macau, Macau, China

Academic Qualification

Ph.D. in Civil Engineering (Geotechnical Engineering), City University of Hong Kong, Hong Kong, China (2021)

M.Sc. in Civil Engineering, University of California, Los Angeles, CA, USA (2012)

Bachelor of Engineering in Civil Engineering, Zhejiang University, Hangzhou, China (2011)

Professional Experience

08/2022 – present: Research Assistant Professor, University of Macau, Macau, China

09/2021 –07/2022 : Postdoctoral Researcher, City University of Hong Kong, Hong Kong, China

09/2017 –08/2021 : Teaching Assistant, City University of Hong Kong, Hong Kong, China

10/2012 –05/2017: Geotechnical Engineer, Seventh Geological Brigade of Zhejiang Province, Hangzhou, China

Research Interests

  • Digital twin modelling of underground space and its applications for infrastructure construction (e.g., buildings, bridges, pipelines, and tunnels) and geohazard mitigation (e.g., landslides, debris flow, and earthquakes)
  • Machine learning for analyzing sparse and incomplete geotechnical data
  • Multivariate geo-data fusion
  • Big data mining in geotechnical engineering
  • Adaptive and smart sampling strategy for subsurface investigation
  • Geotechnical uncertainty and risk evaluation
  • Performance-based seismic design

Publications

Journal papers

  1. Guan, Z., Wang, Y., & Phoon, K. K. (2024). “Dictionary learning of spatial variability at a specific site using data from other sites.” Journal of Geotechnical and Geoenvironmental Engineering. In press.
  2. Guan, Z., Wang, Y., & Phoon, K. K. (2023). “Fusion of Sparse Non-co-located Measurements from Multiple Sources for Geotechnical Site Investigation.” Canadian Geotechnical Journal, https://doi.org/10.1139/cgj-2023-0289.
  3. Guan, Z., and Wang, Y. (2023). “Risk-informed adaptive sampling strategy for liquefaction severity mapping.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1-14.
  4. Guan, Z., and Wang, Y. (2023). “Data-driven simulation of two-dimensional cross-correlated random fields from limited measurements using joint sparse representation.” Reliability Engineering & System Safety, 238, 109408.
  5. Li, P., Wang, Y., and Guan, Z. (2023). Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation. Stochastic Environmental Research and Risk Assessment, 1-22.
  6. Tang, C., He, S. Y., Guan, Z., Zhou, W. H., and Yin, Z. Y. (2023). “Enhanced elastic beam model with BADS integrated for settlement assessment of immersed tunnels.” Underground Space, 12, 79-88.
  7. Guan, Z., and Wang, Y. (2022). “Quantifying reliability of liquefaction severity map developed from sparse cone penetration tests.” Canadian Geotechnical Journal, 60(5), 623-641.
  8. Guan, Z., Wang, Y., and Stuedlein, A. W. (2022). “Efficient three-dimensional soil liquefaction potential and reconsolidation settlement assessment from limited CPTs considering spatial variability.” Soil Dynamics and Earthquake Engineering, 163, 107518.
  9. Guan, Z., and Wang, Y. (2022). “Assessment of Liquefaction-induced Differential Ground Settlement and Lateral Displacement Using Standard Penetration Tests with Consideration of Soil Spatial Variability.” Journal of Geotechnical and Geoenvironmental Engineering. 148(5), 04022018.
  10. Guan, Z., Wang, Y., and Zhao, T. (2022). “Adaptive sampling strategy for characterizing spatial distribution of soil liquefaction potential using cone penetration test.” Journal of Rock Mechanics and Geotechnical Engineering, 14(4), 1221-1231.
  11. Guan, Z., and Wang, Y. (2022). “SPT-based probabilistic evaluation of soil liquefaction potential considering design life of civil infrastructures.” Computers and Geotechnics, 148, 104807.
  12. Guan, Z., and Wang, Y. (2021). “Selection of standard penetration test number for geotechnical investigation of a vertical cross-section considering spatial variability and correlation in soil properties.” Canadian Geotechnical Journal, 58(11), 1654 -1668.
  13. Guan, Z., and Wang, Y. (2021). “Rational determination of cone penetration test quantity in a two-dimensional vertical cross-section for site investigation.” Tunnelling and Underground Space Technology, 109, 103771.
  14. Guan, Z., and Wang, Y. (2021). “Non-parametric construction of site-specific non-Gaussian multivariate joint probability distribution from sparse measurements.” Structural Safety, 91, 102077.
  15. Guan, Z., Wang, Y., and Zhao, T. (2021). “Delineating the spatial distribution of soil liquefaction potential in a cross-section from limited cone penetration tests.” Soil Dynamics and Earthquake Engineering, 145, 106710.
  16. Guan, Z., and Wang, Y. (2021). “CPT-based probabilistic liquefaction assessment considering soil spatial variability, interpolation uncertainty and model uncertainty.” Computers and Geotechnics, 141, 104504.
  17. Guan, Z., Wang, Y., Cao, Z., and Hong, Y. (2020). “Smart sampling strategy for investigating spatial distribution of subsurface shallow gas pressure in Hangzhou Bay area of China.” Engineering Geology, 274,105711.
  18. Wang, Y., Guan, Z., and Zhao, T. (2019). “Sample size determination in geotechnical site investigation considering spatial variation and correlation.” Canadian Geotechnical Journal, 56(7), 992-1002.
  19. Guan, Z., and Wang, Y. (2019). “Statistical Charts for Determining Sample Size at Various Levels of Accuracy and Confidence in Geotechnical Site Investigation.” Geotechnique, 70(12), 1145-1159.

Conference papers

  1. Guan, Z., and Wang, Y. (2023). “Probabilistic Assessment of Soil Liquefaction Potential Using CPT-Based Smart Site Investigation Strategy.” In Geo-Risk 2023
  2. Guan, Z., Cao, Z., Hong, Y., and Wang, Y. (2022). “Planning of Site Investigation for Subsurface Shallow Gas Pressure: A Smart Sampling Strategy.” In Proceedings of The Seventh Asian-Pacific Symposium on Structural Reliability and Its Applications (APSSRA2020). The symposium committee of APSSRA2020.
  3. Guan, Z., and Wang, Y. (2022). “Probabilistic Assessment of Spatial Distribution of Soil Liquefaction Potential Using Cone Penetration Test.” In Proceedings of the 8th International Symposium on Geotechnical Safety and Risk (ISGSR).
  4. Guan, Z., Zhao, T., and Wang, Y. (2020). “Smart Sampling Strategy for Geotechnical Site Characterization.” In Geo-Congress 2020: Engineering, Monitoring, and Management of Geotechnical Infrastructure, 728-736. Reston, VA.
  5. Guan, Z., Cao, Z., Hong, Y., and Wang, Y. (2020). “Planning of Site Investigation for Subsurface Shallow Gas Pressure: A Smart Sampling Strategy.” Proceedings of The Seventh Asian-Pacific Symposium on Structural Reliability and Its Applications (APSSRA2020), Tokyo, Japan. doi/10.15083/00079776.
  6. Guan, Z., Wang, Y., and Zhao, T. (2019). “How Many Samples Are Required in Geotechnical Site Investigation?.” In Proceedings of the 7th International Symposium on Geotechnical Safety and Risk, 346-351. Taipei, Taiwan.

Technical Report

  1. Guan, Z., Chang, Y., Wang, Y., Aladejare, A. E., Zhang, D., and Ching, J. (2021). “Chapter 1: Site-specific statistics for geotechnical properties” in State-of-the-art review of inherent variability and uncertainty in geotechnical properties and models, 1-83, edited by Ching, J. and Schweckendiek, T. ISSMGE Technical Committee 304

Honors and Awards

  • Ringo Yu Prize for Best PhD Thesis in Geotechnical Studies 2021 by Hong Kong Institution of Engineers (HKIE) .
  • Postgraduate scholarship (2017-2021), City University of Hong Kong

Academic Service

Journal reviewer for

  • Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
  • International Journal of Geomechanics
  • Engineering Geology
  • Bulletin of Engineering Geology and the Environment
  • Environmental Earth Sciences
  • Journal of Cultural Heritage
  • Geomatics, Natural Hazards and Risk
  • Scientific reports