Machine learning-based soil–structure interaction analysis of laterally loaded piles through physics-informed neural networks
This research adopts emerging machine learning techniques to tackle the soil–structure
interaction analysis problems of laterally loaded piles through physics-informed neural …
interaction analysis problems of laterally loaded piles through physics-informed neural …
Efficient numerical implementation for nonlinear analysis of pile-supported structures during soil liquefaction through adaptive pile element formulations
The structural behavior of pile-supported structures during soil liquefaction is sometimes
insufficiently investigated properly due to the inefficiency in the existing line finite element …
insufficiently investigated properly due to the inefficiency in the existing line finite element …
Physics‐informed neural networks for large deflection analysis of slender piles incorporating non‐differentiable soil‐structure interaction
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 …
has been applied in different areas successfully. To benefit pile analysis from this innovative …
Refined three-dimensional pile element formulation for second-order analysis of pile-supported structures accounting for complex loading conditions
The second-order analysis method is a simulation-based design method but less utilized for
pile-supported structures due to the current inaccurate and unstable analysis methods for …
pile-supported structures due to the current inaccurate and unstable analysis methods for …
Efficient numerical algorithms for assessing the mechanical performance of corroded offshore steel sheet piles
Deterioration of offshore steel sheet pile walls subjected to corrosion may significantly affect
the structural performance under serviceability and failure. Most steel corrosion studies …
the structural performance under serviceability and failure. Most steel corrosion studies …
Neural networks-based spring element for second-order analysis of pile-supported structures with nonlinear soil-structure interaction
This paper proposes a novel structural analysis approach, the neural networks-based spring
element (NNSE) method, to synergize machine learning (ML) techniques with the line finite …
element (NNSE) method, to synergize machine learning (ML) techniques with the line finite …