Adaptive sampling strategy for characterizing spatial distribution of soil liquefaction potential using cone penetration test

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• Finished

  GRF: Multiscale Machine Learning of Subsurface Stratigraphy from Limited Site-specific Measurements and Prior Geological Knowledge using Iterative Convolutional Neural Networks (CNN)

  WANG, Y. (Principal Investigator / Project Coordinator)

  1/01/22 → 2/10/24

  Project: Research

  • Stratigraphy 100%
  • Machine Learning 83%
  • Site Investigation 76%
  • Hong Kong 64%
  • Borehole 50%

• GRF: Development of Machine Learning Methods for Planning of Geotechnical Site Investigation and Analytics of Site Investigation Data

  WANG, Y. (Principal Investigator / Project Coordinator)

  1/01/20 → 9/08/23

  Project: Research

  • Cone Penetration Test 100%
  • Interpolation 86%
  • Subsurface 80%
  • Cross Section 76%
  • Site Investigation 75%