Machine Learning References

Curated resources on ML applications in geotechnical engineering

Key Papers

πŸ€– Machine Learning in Site Characterization
  • Application of Machine Learning in CPT Interpretation
    Wang, Y., et al.
    Geotechnique, 2021
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  • Data-Driven Site Characterization: A Review
    Phoon, K.K., Zhang, J.
    Journal of Geotechnical and Geoenvironmental Engineering, 2022
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  • Random Forest for Soil Classification from CPT Data
    Chen, M., et al.
    Soils and Foundations, 2020
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πŸ“Š Surrogate Modeling and Optimization
  • Gaussian Process Models for Geotechnical Applications
    Hicks, M.A., et al.
    Computers and Geotechnics, 2021
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  • Neural Network Based Reliability Analysis
    Li, D.Q., et al.
    Structural Safety, 2020
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  • Deep Learning for Liquefaction Prediction
    Zhang, J., et al.
    Soil Dynamics and Earthquake Engineering, 2022
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πŸ—ΊοΏ½?Spatial Variability and Random Fields
  • Generative Adversarial Networks for Random Field Generation
    Liu, Z., et al.
    International Journal for Numerical Methods in Engineering, 2023
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  • Bayesian Neural Networks for Uncertainty Quantification
    Papaioannou, I., et al.
    Probabilistic Engineering Mechanics, 2022
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Online Resources & Courses

πŸŽ“
MLRA 2021 Symposium
Proceedings from the Machine Learning & Risk Assessment in GeoEngineering Symposium
πŸ“š
Georisk Journal Special Issue
Special issue on Data Analytics in Geotechnical Engineering
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Python for Geotechnics
Collection of Jupyter notebooks for ML applications in geotechnical engineering
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TC304 Bibliography
Comprehensive reference list of ML papers in geotechnical engineering