Development of a Long-term Ground Settlement Prediction Model Using Physics-Informed Neural Networks
This study proposes a physics-informed neural network framework considering creep settlement (Creep-PINN) to accurately predict the long-term settlement behavior of soft clay deposits using only limited field measurements acquired during the early stage of embankment construction, thereby enabling efficient constructio...