Multi-scale representation of spatial data is a research focus in GIS, while building multi-scale data model is a key to implementing multi-scale representation of vector data. In view of the shortcomings of existing multi-scale data model in geographical cognition and special analysis, this paper puts forward a method of feature-based, and studies on it qualitatively from definition, descripti...

A multi scale domain (MSMD) model for large format lithium-ion battery (LIB) cells is presented. In our approach the homogenization performed on two scales (i) from particulate electrodes to homogenized electrode materials using an extended Newman and (ii) individual cell layer a material with anisotropic electrical thermal transport properties. Both intertwined homogenizations are necessary co...

Fires are complex and it is hard to derive relationships from theory in fire science. Full-scale and small-scale experiments have been used with great success in order to increase the understanding of fire chemistry and fire dynamics. An alternative or complement to these often expensive and resource demanding traditional experiments are numerical experiments. In this paper, numerical experimen...

In this paper we develop a probabilistic micro-scale model and use it to study macro-scale properties of axonal transport, the processes by which materials are moved in the axons of neurons. By directly modeling the smallest scale interactions, we can use recent microscopic experimental observations to infer all the parameters of the model. Then using techniques from queueing theory, we can pre...

this paper presents theoretical and numerical state-of-the-art information in the field of hygro-thermo-mechanical deformation simulation in structural concrete. the aspects discussed include coupled hygro-thermo-mechanical performance of porous materials including concrete, multi-scale simulation of concrete properties especially the volumetric and structural deformation performance, and the m...