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Advancing Vs estimation from CPTu for engineering practice: A data-driven approach
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DOI：10.1016/j.soildyn.2025.109972.png)
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Abstract
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• A data-driven approach predicts shear wave velocity using global SCPTu datasets. • Data augmentation to CPTu resolution enhances prediction accuracy. • Including pore pressure improves predictions, especially in cemented soils. • The optimal model uses four CPTu inputs, augmented Vs with a constant value, and DNN.
Keywords:
Shear wave velocity
Seismic piezocone tests (SCPTu)
Standard piezocone tests (CPTu)
Machine learning techniques
Integrated geoscience
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