We show that for the Boolean model of random composite media one can, from a single image of a system at any particle fraction, define a set of parameters which allows one to accurately reconstruct the medium for all other phase fractions. The morphological characterization is based on a family of measures known in integral geometry which provides powerful formulas for the Boolean model. The percolation thresholds of either phase are obtained with good accuracy. From the reconstructions one can subsequently predict property curves for the material across all phase fractions from the single three-dimensional image. We illustrate this for transport and mechanical properties of complex Boolean systems and for experimental sandstone samples
In the framework of the Silent Wall ANR project, the CMM and the US2B are associated in order to cha...
ISBN: 0878492941;978-087849294-7International audienceMany nanocomposite materials are obtained by d...
It is well known that the structure at a microscopic point of view strongly influences the macrosco...
Abstract. We introduce Minkowski functionals to characterise, reconstruct and discriminate dif-feren...
We consider the structural and physical properties of complex modelmorphologies and microstructures ...
A method of modeling the three-dimensional microstructure of random isotropic two-phase materials is...
International audienceThe analysis of 3D images of complex materials, once imaging and reconstructio...
The prediction of the macroscopic complex permittivity of composites is based on the derivations of ...
We study the relation of permeability and morphology for porous structures composed of randomly plac...
The densities of the intrinsic volumes – in 3D the volume density, surface density, the density of t...
A new method of characterising the morphology of disordered systems is presented based on the evolut...
A new method of characterising the morphology of disordered systems is presented based on the evolut...
International audienceThe overall mechanical response as well as strain and stress field statistics ...
This thesis deals with the Boolean model, a basic model of stochastic geometry for the description o...
International audienceComplex microstructures in materials often involve multi-scale heterogeneous t...
In the framework of the Silent Wall ANR project, the CMM and the US2B are associated in order to cha...
ISBN: 0878492941;978-087849294-7International audienceMany nanocomposite materials are obtained by d...
It is well known that the structure at a microscopic point of view strongly influences the macrosco...
Abstract. We introduce Minkowski functionals to characterise, reconstruct and discriminate dif-feren...
We consider the structural and physical properties of complex modelmorphologies and microstructures ...
A method of modeling the three-dimensional microstructure of random isotropic two-phase materials is...
International audienceThe analysis of 3D images of complex materials, once imaging and reconstructio...
The prediction of the macroscopic complex permittivity of composites is based on the derivations of ...
We study the relation of permeability and morphology for porous structures composed of randomly plac...
The densities of the intrinsic volumes – in 3D the volume density, surface density, the density of t...
A new method of characterising the morphology of disordered systems is presented based on the evolut...
A new method of characterising the morphology of disordered systems is presented based on the evolut...
International audienceThe overall mechanical response as well as strain and stress field statistics ...
This thesis deals with the Boolean model, a basic model of stochastic geometry for the description o...
International audienceComplex microstructures in materials often involve multi-scale heterogeneous t...
In the framework of the Silent Wall ANR project, the CMM and the US2B are associated in order to cha...
ISBN: 0878492941;978-087849294-7International audienceMany nanocomposite materials are obtained by d...
It is well known that the structure at a microscopic point of view strongly influences the macrosco...