Machine Learning Methods for Geotechnical Site Characterization and Scour Assessment
Negin Yousefpour,
Zhongqiang Liu,
Chao Zhao
Abstract:Reliable geotechnical site characterization and geohazard assessment are critical for bridge foundation design and management. This paper explores existing and emerging artificial intelligence-machine learning methods (AI-ML) transforming geotechnical site characterization and scour assessment for bridge foundation design and maintenance. The prevalent ML techniques applied for subsurface characterization are reviewed, and step-by-step methodologies for stratigraphy classification, borehole interpretation, geo… Show more
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