Special issue on “Machine learning and AI in geotechnics”

References

• Burland, J. B. 1987. “The Teaching of Soil Mechanics – A Personal View.” Proceedings, 9th European Conference on Soil Mechanics and Foundation Engineering, Dublin, Vol. 3, 1427–1447.
   Google Scholar
• He, G. F., P. Zhang, Z. Y. Yin, Y. F. Jin, and Y. Yang. 2023. “Multi-Fidelity Data-Driven Modelling of Rate-Dependent Behaviour of Soft Clays.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 64–76. doi:10.1080/17499518.2022.2149815.
   Google Scholar
• Li, X., H. Li, S. Du, J. Jing, and P. Li. 2023. “Cross-projects Utilization of Tunnel Boring Machines (TBM) Construction Data: A Case Study Using Big Data From Yin-Song Diversion Project in China.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 127–147. doi:10.1080/17499518.2023.2184834.
   Google Scholar
• Ma, J., T. Li, G. Yang, K. Dai, C. Ma, H. Tang, G. Wang, J. Wang, B. Xiao, and L. Meng. 2023. “A Real-Time Intelligent Classification Model Using Machine Learning for Tunnel Surrounding Rock and its Application.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 148–168. doi:10.1080/17499518.2023.2182891.
   Google Scholar
• Morgenroth, J., K. Kalenchuk, L. Moreau-Verlaan, M. Perras, and U. T. Khan. 2023. “A Novel Long-Short Term Memory Network Approach for Stress Model Updating for Excavations in High Stress Environments.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 196–216. doi:10.1080/17499518.2023.2182889.
   Google Scholar
• Phoon, K. K. 2018. “Editorial for Special Collection on Probabilistic Site Characterization.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 4 (4): 02018002. doi:10.1061/AJRUA6.0000992.
   Google Scholar
• Phoon, K. K. 2023. “What Geotechnical Engineers Want to Know About Reliability.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. In press
   Google Scholar
• Phoon, K. K., Z. Cao, J. Ji, Y. F. Leung, S. Najjar, T. Shuku, C. Tang, Z. Y. Yin, Y. Ikumasa, and J. Ching. 2022b. “Geotechnical Uncertainty, Modeling, and Decision Making.” Soils and Foundations 62 (5): 101189. doi:10.1016/j.sandf.2022.101189.
   Web of Science ®Google Scholar
• Phoon, K. K., Z. Cao, Z. Liu, and J. Ching. 2023. “Report for ISSMGE TC309/TC304/TC222 Third ML Dialogue on “Data-Driven Site Characterization (DDSC)” 3 December 2021, Norwegian Geotechnical Institute, Oslo, Norway.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 227–238. doi:10.1080/17499518.2022.2105366.
   Google Scholar
• Phoon, K. K., and J. Ching. 2021. “Project DeepGeo – Data-Driven 3D Subsurface Mapping.” Journal of GeoEngineering 16 (2): 47–59. doi:10.6310/jog.202106_16(2).2.
   Google Scholar
• Phoon, K. K., J. Ching, and Z. Cao. 2022c. “Unpacking Data-Centric Geotechnics.” Underground Space 7 (6): 967–989. doi:10.1016/j.undsp.2022.04.001.
   Web of Science ®Google Scholar
• Phoon, K. K., J. Ching, and T. Shuku. 2022a. “Challenges in Data-Driven Site Characterization.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16 (1): 114–126. doi:10.1080/17499518.2021.1896005.
   Google Scholar
• Phoon, K. K., T. Shuku, J. Ching, and I. Yoshida. 2022d. “Benchmark Examples for Data-Driven Site Characterization.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16 (4): 599–621. doi:10.1080/17499518.2022.2025541.
   Google Scholar
• Phoon, K. K., and W. G. Zhang. 2023. “Future of Machine Learning in Geotechnics.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 7–22. doi:10.1080/17499518.2022.2087884.
   Google Scholar
• Shi, C., and Y. Wang. 2023. “Development of Training Image Database for Subsurface Stratigraphy.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 23–40. doi:10.1080/17499518.2023.2169942.
   Google Scholar
• Shioi, A., Y. Otake, I. Yoshida, S. Muramatsu, and S. Ohno. 2023. “Data-Driven Approximation of Geotechnical Dynamics to an Equivalent Single-Degree-of-Freedom Vibration System Based on Dynamic Mode Decomposition.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 77–97. doi:10.1080/17499518.2023.2184479.
   Google Scholar
• Shuku, T., and K. K. Phoon. 2023a. “Data-driven subsurface modeling using a Markov random field model.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 41–63. doi:10.1080/17499518.2023.2181973.
   Google Scholar
• Shuku, T., and K. K. Phoon. 2023b. “Comparison of Data-Driven Site Characterization Methods Through Benchmarking: Methodological and Application Aspects.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9 (2): 04023006. doi:10.1061/AJRUA6.RUENG-977.
   Google Scholar
• Simpson, B. 2011. “Reliability in Geotechnical Design – Some Fundamentals.” Proceedings, Third International Symposium on Geotechnical Safety & Risk, Federal Waterways Engineering and Research Institute, Germany, 393–399.
   Google Scholar
• Tan, X., W. Chen, C. Qin, W. Zhao, and W. Ye. 2023. “Characterization for Spatial Distribution of Mining-Induced Stress Through Deep Learning Algorithm on SHM Data.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 217–226. doi:10.1080/17499518.2023.2172188.
   Google Scholar
• Wroth, C. P. 1984. “24th Rankine Lecture: The Interpretation of in Situ Soil Tests.” Geotechnique 34 (4): 449–488. doi:10.1680/geot.1984.34.4.449.
   Web of Science ®Google Scholar
• Xi, N., M. Zang, R. Lin, Y. Sun, and G. Mei. 2023. “Spatiotemporal Prediction of Landslide Displacement Using Deep Learning Approaches Based on Monitored Time-Series Displacement Data: A Case in the Huanglianshu Landslide.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 98–113. doi:10.1080/17499518.2023.2172186.
   Google Scholar
• Yan, W., Y. Yan, P. Shen, and W. H. Zhou. 2023. “A Hybrid Physical Data Informed DNN in Axial Displacement Prediction of Immersed Tunnel Joint.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 169–180. doi:10.1080/17499518.2023.2169941.
   Google Scholar
• Zhang, J., H. Yao, Z. Wang, Y. Xue, and L. L. Zhang. 2023. “On Prediction of Slope Failure Time with the Inverse Velocity Method.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 114–126. doi:10.1080/17499518.2022.2132263.
   Google Scholar
• Zhang, P., Z.-Y. Yin, Y.-F. Jin, J. Yang, and B. B. Sheil. 2022. “Physics-Informed Multi-Fidelity Residual Neural Networks for Hydromechanical Modelling of Granular Soils and Foundation Considering Internal Erosion.” Journal of Engineering Mechanics 148 (4): 04022015. doi:10.1061/(ASCE)EM.1943-7889.0002094.
   Google Scholar
• Zhou, Z., L. Yan, J. Zhang, and H. Yang. 2023. “Real-Time Tunnel Lining Crack Detection Based on an Improved You Only Look Once Version X Algorithm.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 181–195. doi:10.1080/17499518.2023.2172187.
   Google Scholar