Verification of the multi-scale material framework is also done for the overall long-term responses.
Multi-scale material modeling is applied to investigate the effect of major design parameters of reinforcing agents in single-walled carbon nanotube (SWCNT) reinforced nanocomposites in impact loads.
To increase the computational efficiency, the expensive-to-evaluate stochastic multi-scale material model has been surrogated by a kriging metamodel.
Finally, long-term structural analyses under thermo-mechanical loadings are conducted by integrating the multi-scale material framework to finite element (FE) structural analyses.
In this paper, a statistical micromechanics-based multi-scale material modelling framework is introduced to describe the macroscopic effective thermomechanical properties of the particle-reinforced composite.
The composite specimens under test are ∼3.5 mm thick tiles made of hybrid multi-scale material: the manufacturing has been performed by integrating several layers of Kevlar fabric and carbon fiber plies within a polymeric matrix reinforced by carbon nanotubes.
The U.S. Army Engineer Research and Development Center has conducted multi-scale material research directed towards enhancing the response of a rapid-set, high-strength geopolymer cement under quasi-static and dynamic loads.
The paper also considers the current thinking on developing virtual laboratories in relation to availability of computational resources as well as the development of multi-scale material model algorithms.
The procedures and the corresponding algorithms were implemented in the [DIGIMAT version 1.4, 2004. Linear and nonlinear multi-scale material modeling software, e-Xstream engineering SA (http://www.e-Xstream.com), Louvain-la-Neuve, Belgium.] software and several numerical simulations show their accuracy and efficiency.
The objective of this study was to determine the multi-scale material properties in oim bone, and in particular correlations between local tissue mineralization and elastic modulus at the microscopic (μm) scale.
Usually a multi scale pyramid structure is applied in a layered deep learning neural network.
