A Cone-Penetration-Test Inversion Model Developed via Machine Learning of Physical and Virtual Calibration-Chamber Experiments

Abstract

AbstractVolume-averaging effects significantly influence the accuracy of cone-penetration-test (CPT) measurements in layered soil profiles. This study presents a machine learning (ML)–based inversion model designed to correct these effects, leveraging a ...