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Selected Publications

  1. Li, K. Q., Yin, Z. Y., Zhang, N., &Li, J. (2024). A PINN-based modelling approach for hydromechanical behaviour of unsaturated expansive soils. Computers and Geotechnics, 169, 106174. https://doi.org/10.1016/j.compgeo.2024.106174

  2. Kong, H. Q., & Zhang, N. (2024). Risk assessment of water inrush accident during tunnel construction based on FAHP-I-TOPSIS. Journal of Cleaner Production, 141744.

  3. Zhang, N., Zhou, A., Jin, Y. F., Yin, Z. Y., & Shen, S. L. (2023). An enhanced deep learning method for accurate and robust modelling of soil stressstrain response. Acta Geotechnica, 1-23.

  4. Njock, P. G. A., Zhang, N., Zhou, A., & Shen, S. L. (2023). Evaluation of lateral displacement induced by jet grouting using improved random forest. Geotechnical and Geological Engineering, 41(1), 459-475.

  5. Li, K. Q., Yin, Z. Y., Zhang, N., & Liu, Y. (2023). A data-driven method to model stress-strain behaviour of frozen soil considering uncertainty. Cold Regions Science and Technology, 103906.

  6. Shen, S. L., Zhang, N. *, Zhou, A., & Yin, Z. Y. (2022). Enhancement of neural networks with an alternative activation function tanhLU. Expert Systems with Applications, 199, 117181. 

  7. Zhang, J. X., Zhang, N., Zhou, A., & Shen, S. L. (2022). Numerical evaluation of segmental tunnel lining with voids in outside backfill. Underground Space.

  8. Kong, H. Q., Zhao, L. S., & Zhang, N. (2022). Water Inrush Hazard in Shijingshan Tunnel during Construction, Zhuhai, Guangdong, China. Safety, 8(1), 7.

  9. Zhang, J. X., Zhang, N., & Xu, Y. S. (2022). Data on point cloud scanning and ground radar of composite lining in jointly constructed tunnel. Data in Brief, 41, 107993.

  10. Lin, S.S., Zhang, N.*, Zhou, A. Shen, S.L.* (2022) Time-series prediction of shield movement performance during tunneling based on hybrid model. Tunnelling and Underground Space Technology. 119, 104245. https://doi.org/10.1016/j.tust.2021.104245.

  11. Zhang, N., Zhou, A., Pan Y., Shen, S.L., (2021). Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method. Measurement 183, 109700. doi: 10.1016/j.measurement.2021.109700.

  12. Zhang, N., Shen, S.L., Zhou, A., Jin, Y.F. (2021). Application of LSTM approach for modelling stress–strain behaviour of soil. Applied Soft Computing, 100, 106959. 

  13. Zhang, N., Zhang, N.*, Zheng, Q., Xu, Y.S., (2021) Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network, Acta Geotechnica, 17(4), 1167-1182. https://doi.org/10.1007/s11440-021-01319-1.

  14. Lin, S. S., Shen, S. L., Zhang, N., & Zhou, A. (2021). Method for lake eutrophication levels evaluation: TOPSIS-MCS. MethodsX, 8, 101311.

  15. Lin, S.S., Shen, S.L., Zhou, A., Zhang, N. (2021). Ensemble model for risk status evaluation of excavation. Automation in Construction, 132, 103943.

  16. Lin, S.S., Shen, S.L., Zhang, N., Zhou, A. (2021). Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms. Geoscience Frontiers, 12(5), 101177.

  17. Lin, S.S., Shen, S.L., Zhang, N., Zhou, A. (2021). Comprehensive environmental impact evaluation for concrete mixing station (CMS) based on improved TOPSIS method. Sustainable Cities and Society, 69, 102838. 

  18. Lu, S.L., Zhang, N.*, Shen, S.L., Zhou, A., Li, H.Z. (2020). A deep-learning method for evaluating shaft resistance of the cast-in-site pile on reclaimed ground using field data. Journal of Zhejiang University-Science A, 21(6), 496-508. 

  19. Atangana Njock, P.G., Zheng, Q., Zhang, N.*, Xu, Y.S. (2020). Perspective Review on Subsea Jet Trenching Technology and Modeling. Journal of Marine Science and Engineering, 8(6), 460. 

  20. Gao, M.Y., Zhang, N.*, Shen, S.L.*, Zhou, A. (2020). Real-time dynamic earth-pressure regulation model for shield tunneling by integrating GRU deep learning method with GA optimization. IEEE Access, 8, 64310-64323. 

  21. Lin, S.S., Zhang, N.*, Xu, Y.S., Hino, T. (2020). Lesson Learned from Catastrophic Floods in Western Japan in 2018: Sustainable Perspective Analysis. Water, 12(9), 2489. 

  22. Zhang, N., Shen, S.L., Lin, C., Arulrajah, A., Chai, J.C. (2019). Investigation of a large ground collapse and countermeasures during mountain tunnelling in Hangzhou: a case study. Bulletin of Engineering Geology and the Environment, 78(2), 991-1003. 

  23. Zhang, N., Shen, S.L., Zhou, A., Xu, Y.S. (2019). Investigation on performance of neural networks using quadratic relative error cost function. IEEE Access, 7, 106642-106652.

  24. Zhang, N., Shen, S.L., Zhou, A., Arulrajah, A. (2018). Tunneling induced geohazards in mylonitic rock faults with rich groundwater: A case study in Guangzhou. Tunnelling and Underground Space Technology, 74, 262-272.

  25. Zhang, N., Wu, H.N., Shen, S.L., Hino, T., Yin, Z.Y. (2017). Evaluation of the uplift behavior of plate anchor in structured marine clay. Marine Georesources & Geotechnology, 35(6), 758-768.

  26. Xu, Y.S., Wu, H.N., Shen,S.L., Zhang, N. (2017). Risk and impacts on the environment of free-phase biogas in Quaternary deposits along the coastal region of Shanghai. Ocean Engineering, 137, 129-137. 

  27. Ren, D.J., Shen, S.L., Cheng, W.C., Zhang, N., Wang, Z.F. (2016). Geological formation and geo-hazards during subway construction in Guangzhou. Environmental Earth Sciences, 75(11), 1-14. 

  28. Zhang, N., Shen, S. L., Wu, H. N., Chai, J. C., Xu, Y. S., & Yin, Z. Y. (2015). Evaluation of effect of basal geotextile reinforcement under embankment loading on soft marine deposits. Geotextiles and Geomembranes, 43(6), 506-514.

  29. Xu, Y. S., Zhang, N., Yuan, Y., & Shen, S. L. (2015). Research on the deformation of a confined aquifer based on Cosserat continuum mechanics. Proceedings of the International Association of Hydrological Sciences, 372, 399-401.

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