Physics‐informed neural networks for large deflection analysis of slender piles incorporating non‐differentiable soil‐structure interaction
Weihang Ouyang,
Guanhua Li,
Liang Chen
et al.
Abstract:Physics‐informed neural networks (PINN) is an emerging machine learning technique and has been applied in different areas successfully. To benefit pile analysis from this innovative technique, this paper addresses several problems that arise when extending PINN to the large deflection analysis of slender piles accounting for nonlinear Soil‐Structure Interaction (SSI). The governing equations for the structural behavior of piles, considering geometric nonlinearity, are elaborated at first, based on which a PINN… Show more
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