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[Књига][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 …
and functions (scalar and multivariate). These models concern many physical situations in …
[HTML][HTML] Representative volume elements for matrix-inclusion composites-a computational study on the effects of an improper treatment of particles intersecting the …
We investigate volume-element sampling strategies for the stochastic homogenization of
particle-reinforced composites and show, via computational experiments, that an improper …
particle-reinforced composites and show, via computational experiments, that an improper …
Electrical conductivity of metal–polymer cold spray composite coatings onto carbon fiber-reinforced polymer
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 …
(CFRP). The choice of the metal–polymer couple of materials, however, has a strong …
Accounting for viscoelastic effects in a multiscale fatigue model for the degradation of the dynamic stiffness of short-fiber reinforced thermoplastics
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 …
gradual degradation of the material. Thus, both measuring and modeling this stiffness is …
In-situ experimental and numerical studies of the damage evolution and fracture in a Fe-TiB2 composite
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 …
metal matrix composite (Fe-TiB 2) is presented. Damage is observed and quantified using …
New parameterizations for Bayesian seismic tomography
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 …
arrival travel times. The advantage of the Bayesian approach compared to linearized ones is …
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 …
polymerized and nanoscale filled rubber. Unfortunately, the computation time for a …
Homogenization estimates for the effective response of fractional viscoelastic particulate composites
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 …
viscoelastic composites made of fractional Zener constituents. By extending previous results …
An inverse modeling approach for predicting filled rubber performance
In this paper, a computational procedure combining experimental data and interphase
inverse modeling is presented to predict filled rubber compound properties. The Fast Fourier …
inverse modeling is presented to predict filled rubber compound properties. The Fast Fourier …
[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 …
filler morphology and its modulus, is sampling and analysis of microstructures that induce …