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[HTML][HTML] Discrete mechanical models of concrete fracture
Discrete models of solids have been motivated, in large part, by the discontinuous and
heterogeneous nature of material structure and its breakdown under loading. The …
heterogeneous nature of material structure and its breakdown under loading. The …
Diamond machining of silicon: a review of advances in molecular dynamics simulation
Molecular dynamics (MD) simulation has enhanced our understanding about ductile-regime
machining of brittle materials such as silicon and germanium. In particular, MD simulation …
machining of brittle materials such as silicon and germanium. In particular, MD simulation …
Al-DeMat: A web-based expert system platform for computationally expensive models in materials design
We present a web-based framework based on the R shiny package with functional back-end
server in machine learning methods. A 4-tiers architecture is programmed to achieve users' …
server in machine learning methods. A 4-tiers architecture is programmed to achieve users' …
Multiscale continuous and discontinuous modeling of heterogeneous materials: a review on recent developments
This paper reviews the recent developments in the field of multiscale modelling of
heterogeneous materials with emphasis on homogenization methods and strain localization …
heterogeneous materials with emphasis on homogenization methods and strain localization …
[HTML][HTML] Predicting the non-linear response of composite materials using deep recurrent convolutional neural networks
This paper presents a novel framework to predict the full non-linear response of composite
materials using Deep Recurrent Convolutional Neural (DCRN) Networks. The framework is …
materials using Deep Recurrent Convolutional Neural (DCRN) Networks. The framework is …
Multiscale modeling of material failure: Theory and computational methods
Material behavior and microstructure geometries at small scales strongly influence the
physical behavior at higher scales. For example, defects like cracks and dislocations evolve …
physical behavior at higher scales. For example, defects like cracks and dislocations evolve …
An autoencoder‐based reduced‐order model for eigenvalue problems with application to neutron diffusion
Using an autoencoder for dimensionality reduction, this article presents a novel projection‐
based reduced‐order model for eigenvalue problems. Reduced‐order modeling relies on …
based reduced‐order model for eigenvalue problems. Reduced‐order modeling relies on …
A partitioned model order reduction approach to rationalise computational expenses in nonlinear fracture mechanics
We propose in this paper a reduced order modelling technique based on domain
partitioning for parametric problems of fracture. We show that coupling domain …
partitioning for parametric problems of fracture. We show that coupling domain …
[HTML][HTML] POD–DEIM model order reduction for strain-softening viscoplasticity
Abstract We demonstrate a Model Order Reduction technique for a system of nonlinear
equations arising from the Finite Element Method (FEM) discretization of the three …
equations arising from the Finite Element Method (FEM) discretization of the three …
Explicit synchronous partitioned scheme for coupled reduced order models based on composite reduced bases
This paper formulates, analyzes and demonstrates numerically a method for the explicit
partitioned solution of coupled interface problems involving combinations of projection …
partitioned solution of coupled interface problems involving combinations of projection …