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[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials
K Matouš, MGD Geers, VG Kouznetsova… - Journal of Computational …, 2017 - Elsevier
Since the beginning of the industrial age, material performance and design have been in the
midst of innovation of many disruptive technologies. Today's electronics, space, medical …
midst of innovation of many disruptive technologies. Today's electronics, space, medical …
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization
Homogenization is a technique commonly used in multiscale computational science and
engineering for predicting collective response of heterogeneous materials and extracting …
engineering for predicting collective response of heterogeneous materials and extracting …
Computational homogenization of nonlinear elastic materials using neural networks
In this work, a decoupled computational homogenization method for nonlinear elastic
materials is proposed using neural networks. In this method, the effective potential is …
materials is proposed using neural networks. In this method, the effective potential is …
Exploiting microstructural instabilities in solids and structures: from metamaterials to structural transitions
DM Kochmann, K Bertoldi - Applied …, 2017 - asmedigitalcollection.asme.org
Instabilities in solids and structures are ubiquitous across all length and time scales, and
engineering design principles have commonly aimed at preventing instability. However …
engineering design principles have commonly aimed at preventing instability. However …
Efficient multiscale modeling of heterogeneous materials using deep neural networks
Material modeling using modern numerical methods accelerates the design process and
reduces the costs of develo** new products. However, for multiscale modeling of …
reduces the costs of develo** new products. However, for multiscale modeling of …
[HTML][HTML] Multi-scale computational homogenization: Trends and challenges
MGD Geers, VG Kouznetsova… - Journal of computational …, 2010 - Elsevier
In the past decades, considerable progress had been made in bridging the mechanics of
materials to other disciplines, eg downscaling to the field of materials science or upscaling to …
materials to other disciplines, eg downscaling to the field of materials science or upscaling to …
[BOK][B] Computational homogenization of heterogeneous materials with finite elements
J Yvonnet - 2019 - Springer
In recent years, a revolution has occurred in the field of material engineering. This
breakthrough is the possibility to design, predict properties, and even manufacture materials …
breakthrough is the possibility to design, predict properties, and even manufacture materials …
Multi‐scale constitutive modelling of heterogeneous materials with a gradient‐enhanced computational homogenization scheme
V Kouznetsova, MGD Geers… - … journal for numerical …, 2002 - Wiley Online Library
A gradient‐enhanced computational homogenization procedure, that allows for the
modelling of microstructural size effects, is proposed within a general non‐linear framework …
modelling of microstructural size effects, is proposed within a general non‐linear framework …
Aspects of computational homogenization at finite deformations: a unifying review from Reuss' to Voigt's bound
The objective of this contribution is to present a unifying review on strain-driven
computational homogenization at finite strains, thereby elaborating on computational …
computational homogenization at finite strains, thereby elaborating on computational …