74 citations · 178 across the 5 of their papers we have counts for
5 papers
Physics-constrained symbolic regression for discovering closed-form equations of multimodal water retention curves from experimental data
Yejin Kim, Hyoung Suk Suh
Modeling the unsaturated behavior of porous materials with multimodal pore size distributions presents significant challenges, as standard hydraulic models often fail to capture th…
Can ChatGPT implement finite element models for geotechnical engineering applications?
Taegu Kim, Tae Sup Yun, Hyoung Suk Suh
This study assesses the capability of ChatGPT to generate finite element code for geotechnical engineering applications from a set of prompts. We tested three different initial bou…
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun
Conventional neural network elastoplasticity models are often perceived as lacking interpretability. This paper introduces a two-step machine learning approach that returns mathema…
Multi-phase-field microporomechanics model for simulating ice lens growth and thaw in frozen soil
Hyoung Suk Suh, WaiChing Sun
This article presents a multi-phase-field poromechanics model that simulates the growth and thaw of ice lenses and the resultant frozen heave and thaw settlement in multi-constitue…
A phase field model for cohesive fracture in micropolar continua
Hyoung Suk Suh, WaiChing Sun, Devin O'Connor
While crack nucleation and propagation in the brittle or quasi-brittle regime can be predicted via variational or material-force-based phase field fracture models, these models oft…