Author

Apisit Robjanghvad

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Preprint Oct 2026

Label-free physics-informed strength reduction and a neural operator for the reliability of spatially variable slopes

This paper proposes a label-free physics-informed neural network (PINN) for non-associated Mohr-Coulomb plasticity with incremental strength reduction for the reliability of spatially variable $c$-$\phi$ slopes. The PINN is trained with a virtual-work loss on the finite-element mesh and solves many random fields at onc...

Apisit Robjanghvad, S. Youwai · 0 citations

Jul 2026

Fourier Feature Physics-Informed Neural Networks for Elasto-Plastic Analysis of Geomaterials with a Non-Associative Mohr-Coulomb Model

Elasto-plastic boundary value problems in geotechnical engineering are conventionally solved by the Finite Element Method (FEM), which incurs high computational cost from incremental-iterative procedures. Physics-Informed Neural Networks (PINNs) offer a mesh-free alternative but suffer from spectral bias, failing to re...

Apisit Robjanghvad, S. Youwai · arXiv.org · 1 citation