[HTML][HTML] Representative volume elements for matrix-inclusion composites-a computational study on the effects of an improper treatment of particles intersecting the …

M Schneider, M Josien, F Otto - Journal of the Mechanics and Physics of …, 2022 - Elsevier
We investigate volume-element sampling strategies for the stochastic homogenization of
particle-reinforced composites and show, via computational experiments, that an improper …

[图书][B] Morphological models of random structures

D Jeulin - 2021 - Springer
This book covers methods of Mathematical Morphology to model and simulate random sets
and functions (scalar and multivariate). These models concern many physical situations in …

Accounting for viscoelastic effects in a multiscale fatigue model for the degradation of the dynamic stiffness of short-fiber reinforced thermoplastics

N Magino, J Köbler, H Andrä, F Welschinger… - Computational …, 2023 - Springer
Under fatigue loading, the stiffness decrease in short-fiber reinforced polymers reflects the
gradual degradation of the material. Thus, both measuring and modeling this stiffness is …

Electrical conductivity of metal–polymer cold spray composite coatings onto carbon fiber-reinforced polymer

V Bortolussi, B Figliuzzi, F Willot, M Faessel… - Journal of Thermal …, 2020 - Springer
Cold spray is a promising process to coat polymers and carbon fiber-reinforced polymer
(CFRP). The choice of the metal–polymer couple of materials, however, has a strong …

Synthesis of computer simulation and machine learning for achieving the best material properties of filled rubber

T Kojima, T Washio, S Hara, M Koishi - Scientific reports, 2020 - nature.com
Molecular dynamics (MD) simulation is used to analyze the mechanical properties of
polymerized and nanoscale filled rubber. Unfortunately, the computation time for a …

In-situ experimental and numerical studies of the damage evolution and fracture in a Fe-TiB2 composite

Z Hadjem-Hamouche, K Derrien, E Héripré… - Materials Science and …, 2018 - Elsevier
A joint experimental and modelling study of plastic strain and ensuing damage in a novel
metal matrix composite (Fe-TiB 2) is presented. Damage is observed and quantified using …

New parameterizations for Bayesian seismic tomography

J Belhadj, T Romary, A Gesret, M Noble… - Inverse …, 2018 - iopscience.iop.org
In this study, we rely on a Bayesian approach to estimate the seismic velocity from first
arrival travel times. The advantage of the Bayesian approach compared to linearized ones is …

Homogenization estimates for the effective response of fractional viscoelastic particulate composites

V Gallican, R Brenner - Continuum Mechanics and Thermodynamics, 2019 - Springer
This article is devoted to the micromechanical modelling of the time harmonic response of
viscoelastic composites made of fractional Zener constituents. By extending previous results …

[HTML][HTML] Search strategy for rare microstructure to optimize material properties of filled rubber using machine learning based simulation

T Kojima, T Washio, S Hara, M Koishi - Computational Materials Science, 2022 - Elsevier
A shortcut to understand microstructure-property relationship, such as relationship between
filler morphology and its modulus, is sampling and analysis of microstructures that induce …

An inverse modeling approach for predicting filled rubber performance

J Gao, M Shakoor, H Jinnai, H Kadowaki, E Seta… - Computer Methods in …, 2019 - Elsevier
In this paper, a computational procedure combining experimental data and interphase
inverse modeling is presented to predict filled rubber compound properties. The Fast Fourier …