He/Him
eJiang, S. H., Hu, H. P., & Wang, Z. Z.* (2024). Improved Bayesian model updating of geomaterial parameters for slope reliability assessment considering spatial variability. Structural Safety, 102536. https://doi.org/10.1016/j.strusafe.2024.102536. [PDF]
eHu, Y., Wang, Z. Z., Guo, X. F.*, Kek, Y. D., Ku, T., Goh, S. H., Leung, C. F., Tan, E., & Zhang, Y. (2024), “Three-dimensional Reconstruction of Subsurface Stratigraphy Using Machine Learning with Neighborhood Aggregation”. Engineering Geology. https://doi.org/10.1016/j.enggeo.2024.107588. [PDF]
xZhang, Z. M., Wang, Z. Z., Goh, S. H., & Ji, J.* (2024). “Deep Learning-based Prediction of Tunnel Face Stability in Layered Soils using Images of Random Fields”. Journal of Geotechnical and Geoenvironmental Engineering, 150(8), 04024065. https://doi.org/10.1061/JGGEFK.GTENG-12109 [PDF]
Wu, C. Z., Wang, Z. Z., Goh, S. H., & Zhang, W. G.* (2024). “Comparing 2D and 3D Slope Stability in Spatially Variable Soils using Random Finite-element Method”. Computers and Geotechnics, 170, 106324. https://doi.org/10.1016/j.compgeo.2024.106324. [PDF]
Wang, Z. Z.*, & Whittle, A. J. (2024). “Effects of Movements Induced by Ground Improvement on the Performance of An Excavation Support System in Underconsolidated Clay”. Journal of Geotechnical and Geoenvironmental Engineering. https://doi.org/10.1061/JGGEFK.GTENG-11588. [PDF]
Wang, Z. Z., Zhang, J. Z.*, & Huang, H. W. (2024). “Interpreting Random Fields Through the U-Net Architecture for Failure Mechanism and Deformation Predictions of Geosystems”. Geoscience Frontiers, 101720. https://doi.org/10.1016/j.gsf.2023.101720. [PDF]
Huang, X. W., Wang, Z. Z.*, Jiang, P. M., Li, K. Q., & Tang, C. X. (2023). “Meso-scale investigation of the effects of groundwater seepage on the thermal performance of borehole heat exchangers”. Applied Thermal Engineering, 121809. https://doi.org/10.1016/j.applthermaleng.2023.121809. [PDF]
Jiang, S. H., Chen, J. D., Wang, Z. Z.*, Zhang, J., Huang, J., & Lü, Q. (2023). “Three-Dimensional Discrete Element Analysis of Jointed Rock Slope Stability Based on the Universal Elliptical Disc Model”. Rock Mech Rock Eng. https://doi.org/10.1007/s00603-023-03575-x. [PDF]
Jiang, S. H., Zhu, G. Y., Wang, Z. Z.*, Huang, Z. T., & Huang, J. (2023). “Data augmentation for CNN-based probabilistic slope stability analysis in spatially variable soils”. Computers and Geotechnics, 160, 105501. https://doi.org/10.1016/j.compgeo.2023.105501.[PDF]
Bertola, N. J.*, Wang, Z. Z., Cao, W. J., & Smith, I.F.C. (2023). “Methodology for selecting measurement points that optimize information gain for model updating”. Journal of Civil Structural Health Monitoring. https://doi.org/10.1007/s13349-023-00711-7.[PDF]
Wang, Z. Z., Hu, Y., Guo, X. F., He, X. G., Kek, Y. D., Ku, T.*, Goh, S. H., Leung, C. F. (2023), “Predicting geological interfaces using stacking ensemble learning with multi-scale features”. Canadian Geotechnical Journal. https://doi.org/10.1139/cgj-2022-0365. [PDF]
Huang, X. W., Guo, J., Li, K. Q., Wang, Z. Z.*, Wang, W. (2023), “Predicting the thermal conductivity of unsaturated soils considering wetting behavior: A meso‑scale study”. International Journal of Heat and Mass Transfer. https://doi.org/10.1016/j.ijheatmasstransfer.2023.123853. [PDF]
Wang, Z. Z.*, Jiang, S. H. (2023), “Characterising geotechnical site investigation data: a comparative study using a novel distribution model”. Acta Geotechnica. https://doi.org/10.1007/s11440-022-01720-4. [PDF]
Jiang, S. H., Zhi, H. L., Wang, Z. Z.*, Zhang, S. (2023), “Enhancing flood risk assessment and mitigation through numerical modelling: a case study”. Natural Hazards Review. https://doi.org/10.1061/NHREFO.NHENG-1687. [PDF]
Jiang, S. H.*, Liu, X., Wang, Z. Z., Li, D. Q., Huang, J. S. (2022), “Efficient sampling of the irregular probability distributions of geotechnical parameters for reliability analysis”. Structural Safety. https://doi.org/10.1016/j.strusafe.2022.102309.
Wang, Z. Z.*, Goh, S. H., & Zhang, W. (2022), “Reliability-based design in spatially variable soils using deep learning: an illustration using shallow foundation”. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. https://doi.org/10.1080/17499518.2022.2083178. [PDF]
Wang, Z. Z.* (2022), “Deep-learning for geotechnical reliability analysis with multiple uncertainties”. Journal of Geotechnical and Geoenvironmental Engineering. https://doi.org/10.1061/(ASCE)GT.1943-5606.0002771.[PDF]
Costa, A.*, Wang, Z. Z., Goh, S. H., & Smith, I. F. C. (2022), “A smart sensor-data-driven optimization framework for improving the safety of excavation operations”. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2021.116413.[PDF]
Wang, Z. Z.*, Goh, S. H. (2021). “A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis”. Acta Geotechnica. https://doi.org/10.1007/s11440-021-01326-2 [PDF]
Wang, Z. Z.*, Bertola, N. J., Goh, S. H., & Smith, I. F. C. (2021). “Systematic selection of field response measurements for excavation back analysis”. Advanced Engineering Informatics, 48, 101296. https://doi.org/10.1016/j.aei.2021.101296. [PDF]
Wang, Z. Z.*, Goh, S. H. (2021). “Novel approach to efficient slope reliability analysis in spatially variable soils”. Engineering Geology. https://doi.org/10.1016/j.enggeo.2020.105989. [PDF]
Wang, Z. Z.*, Xiao, C. L., Goh, S. H., & Deng, M. X. (2021). “Meta-model based reliability analysis in spatially variable soils using Convolutional Neural Networks”. Journal of Geotechnical and Geoenvironmental Engineering. https://doi.org/10.1061/(ASCE)GT.1943-5606.0002486.[PDF]
Wang, Z. Z.*, Goh, S. H., Koh, C. G., & Smith, I. F. (2020). “Comparative study of the effects of three data‐interpretation methodologies on the performance of geotechnical back analysis”. International Journal for Numerical and Analytical Methods in Geomechanics, 44(15), 2093-2113. https://doi.org/10.1002/nag.3120 [PDF]
Wang, Z. Z.*, Goh, S. H., Koh, C. G., & Smith, I. F. (2019). “An efficient inverse analysis procedure for braced excavations considering three-dimensional effects”. Computers and Geotechnics, 107, 150-162. https://doi.org/10.1016/j.compgeo.2018.12.004 [PDF]
Chia, R. W. L.*, Wang, Z. Z., & Goh, S. H. (2023). “The effects of partial drainage on the interpretation of pore pressure dissipation test data: a numerical study”. In 10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2023). https://doi.org/10.53243/NUMGE2023-237. [PDF]
Wang, Z. Z.*, Hu, Y., & Guo, X. F. (2023). “Effects of spatial variability on Bayesian model updating using measured excavation responses”. In 10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2023). https://doi.org/10.53243/NUMGE2023-275. [PDF]
Wang, Z. Z.*, Deng, M. X., & Goh, S. H. (2023). “Development of a stochastic finite-element package for use with Plaxis 2D”. In 10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2023). https://doi.org/10.53243/NUMGE2023-233. [PDF]
Wang, Z. Z.*, Huang, X. W., & Li, K. Q. (2023). “Simulating the thermal performance of borehole heat exchangers under groundwater flow”. In 10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2023). https://doi.org/10.53243/NUMGE2023-207. [PDF]
Wang, Z. Z.*, Zhang, J. Z., Goh, S. H., & Huang, H. W. (2022). “Application of image segmentation for predicting slope failure mechanism in spatially variable soils”. In 8th International Symposium on Geotechnical Safety and Risk. (Best Student Paper Award). https://doi.org/10.3850/978-981-18-5182-7_03-009-cd. [PDF]
Wang, Z. Z.*, Goh, S. H., & Zheng, X. (2022). “Numerical modelling of cone penetration tests in spatially variable clays”. In Cone Penetration Testing 2022 (pp. 753-759). CRC Press. [PDF]
Chia, R. W. L.*, Wang, Z. Z., & Goh, S. H. (2022). “Validating cone penetration test in partially drained conditions using a simplified numerical modelling method”. In Cone Penetration Testing 2022 (pp. 317-324). CRC Press. [PDF]
Wang, Z. Z.*, Goh, S. H., & Pai, S.G.S (2022). “Adaptive training of convolutional neural networks for slope reliability analysis in spatially variable soils”. In 7th International Young Geotechnical Engineers Conference (7iYGEC). [PDF]
Wang, Z. Z.*, Goh, S. H., Koh, C. G., & Smith, I. F. (2019). “Comparison of data interpretation methodologies for geotechnical back analysis”. In 9th Asia Young Geotechnical Engineers Conference (9AYGEC). [PDF]
Wang, Z. Z.*, Goh, S. H., Koh, C. G., & Smith, I. F. (2018). “Soil parameter identification for excavations: A falsification approach”. Numerical Methods in Geotechnical Engineering (NUMGE IX), 1, 1181-1188. https://doi.org/10.1201/9781351003629-149 [PDF]
Wang, Z. Z.*, & Goh, S.H., (2018). “Spudcan installation and post installation behaviour in soft clay: The press-replace method”. In Numerical Methods in Geotechnical Engineering IX, Volume 2 (pp. 1503-1510). CRC Press. https://doi.org/10.1201/9781351003629-189 [PDF]