[HTML][HTML] Exploring the roles of numerical simulations and machine learning in multiscale paving materials analysis: Applications, challenges, best practices

M Khadijeh, C Kasbergen, S Erkens… - Computer Methods in …, 2025 - Elsevier
The complex structure of bituminous mixtures ranging from nanoscale binder components to
macroscale pavement performance requires a comprehensive approach to material …

Multiphysics Modeling of Surface Diffusion Coupled with Large Deformation in 3D Solids

J Kim, KH Kim, N Bouklas - arxiv preprint arxiv:2403.06005, 2024 - arxiv.org
We present a comprehensive theoretical and computational model that explores the
behavior of a thin hydrated film bonded to a non-hydrated/impermeable soft substrate in the …

Enhancing accuracy with an adaptive discretization for the non-local integro-partial differential equations involving initial time singularities

S Santra, R Behera - arxiv preprint arxiv:2304.08009, 2023 - arxiv.org
This work aims to construct an efficient and highly accurate numerical method to address the
time singularity at $ t= 0$ involved in a class of time-fractional parabolic integro-partial …

Exploring the roles of numerical simulations and machine learning in multiscale paving materials analysis

M Khadijeh, C Kasbergen, S Erkens, A Varveri - 2024 - repository.tudelft.nl
The complex structure of bituminous mixtures ranging from nanoscale binder components to
macroscale pavement performance requires a comprehensive approach to material …

Priori error estimation for a novel 8-node stress hybrid element

H Li, R Ding, L Yao, C Li, W Wang, L Wang - Available at SSRN 5007399 - papers.ssrn.com
In a previous study, we proposed a stress hybrid element for plane structure analysis,
named PH-Q8-15β [HN Li, W. Wang, Q. Shen, LQ Yao. An 8-node plane hybrid element for …