Conference
Open access
2026
Towards physics-consistent machine learning models: A geomechanics-based artificial neural network for high-cyclic soil response
It is proposed to design a Geomechanics-based Artificial Neural Network (GANN) that bypasses the need for calibration parameters and instead uses common soil descriptors, ensuring that the predicted strain evolution remains consistent with soil mechanics principles.
R. Polo-Mendoza, M. Tafili, Jose Duque et al.
· E3S Web of Conferences · 0 citations