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The present work describes initial analyses into the shock response of such materials via a sequential multi-scale dynamic analysis.
In this work, the thermal expansion properties of the CNT-reinforced nanocomposites, i.e., CNT/epoxy, were evaluated using a sequential multi-scale numerical model.
To construct the sequential multi-scale numerical model, we firstly used the axial thermal expansion properties of multi-walled carbon nanotube (MWCNT), which were obtained from extensive MD simulations at atomic scale in the authors' previous work [14].
To investigate the thermal expansion properties of CNT-reinforced nanocomposites, numerical simulations based on a sequential multi-scale approach were conducted on two types of microstructural models, a uni-directional model in which CNTs were uni-directionally aligned within epoxy and a multi-directional model in which the CNTs were randomly oriented within the epoxy.
Similar(56)
The more traditional method is serial multi-scale modeling.
This process consists of three sequential phases: a multi-scale feature extraction, a scale prototype pattern generation, and a multi-scale prototype fusion pattern classification.
Morphological infrared image enhancement based on multi-scale sequential toggle operator using opening and closing as primitives.
We describe a sequential fully implicit (SFI) multi-scale finite volume (MSFV) algorithm for nonlinear multi-phase flow and transport in heterogeneous porous media.
In addition, to explore the best network architecture, we also compare the performance of multi-scale and sequential network architectures and find that using multi-scale network is better.
It is a multi-stakeholder, multi-variable, multi-scale problem.
These characteristics include multi-scale, multi-directional, and multi-precision.
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