Particle volume distribution, liquid saturation, liquid-to-solid ratio and porosity of the granules can all be modelled, as these properties can all be expressed as combinations of three model parameters, i.e., the volume fraction of solid material, total liquid fraction and the liquid fraction inside the granules.
Sequential Gaussian simulation algorithm was used to distribute the modelled petrophysical properties in the static model.
For simplified energy assessments, a building modelled as single-zone with simplified thermal properties (U-values, g-values, etc).
For accurate prediction of its behavior, the composite material properties have been modelled as random variables in the present study.
Because of its highly elastic properties, rubber is often modelled as a hyper-elastic material.
They are modelled as bio-dynamic objects that enjoy the properties of fusion, division and multiplication.
The composite material is modelled as a heterogeneous structure using fundamental mechanical properties of the respective phases.
The paper explores different ways that material properties can be formally modelled as weights, and presents examples in which multi-material surfaces are modelled as weighted planes, giving rise to flexible behaviours that can be considered in design exploration.
We demonstrate, via simulation results, that the distributed systems when the clutter is modelled as positive alpha-stable distribution offer robustness properties against multiple target situations especially when using the "OR" fusion rule.
To reduce the remaining misfit between observed and modelled temperatures as well as remaining uncertainties, a higher vertical and horizontal structural resolution and better knowledge of the distribution of physical property are needed.
