Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests

Mousavi, Zohreh; Bayat, Meysam; Yang, Jun; Feng, Wei-Qiang

doi:10.1016/j.soildyn.2024.108805

Soil Dynamics and Earthquake Engineering

2024

DOI: 10.1016/j.soildyn.2024.108805

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Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests

Zohreh Mousavi,

Meysam Bayat,

Jun Yang

et al.

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Cited by 1 publication

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Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling

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Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests

Cited by 1 publication

References 76 publications

Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling

Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling

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