2008
DOI: 10.1007/s00466-008-0296-9
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Multiscale simulation of nanostructures based on spatial secant model: a discrete hyperelastic approach

Abstract: The main objective of this paper is to present a coarse-grained material model for the simulation of threedimensional nanostructures. The developed model is motivated by the recent progress in establishing continuum models for nanomaterials and nanostructures. As there are conceptual differences between the continuum field defined in the classical sense and the nanomaterials consisting of discrete, space-filling atoms, existing continuum measures cannot be directly applied for mapping the nanostructures due to… Show more

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Cited by 1 publication
(4 citation statements)
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“…The second approach is to develop a new measure to map the bonds directly. This method was proposed in [37], and the robustness of the model were demonstrated for 2D atomic rings [37] and carbon nanotube structures [39]. The newly developed measure is called spatial secant (SS) N F, and given as N F D S W S 0 !…”
Section: The Spatial Secant Modelmentioning
confidence: 99%
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“…The second approach is to develop a new measure to map the bonds directly. This method was proposed in [37], and the robustness of the model were demonstrated for 2D atomic rings [37] and carbon nanotube structures [39]. The newly developed measure is called spatial secant (SS) N F, and given as N F D S W S 0 !…”
Section: The Spatial Secant Modelmentioning
confidence: 99%
“…It can be seen that F is not directly applicable in describing the deformation of the bond vector Δ X , i.e., Δ x ≠ F ·Δ X because of the fundamental difference between d X and Δ X . As a result, the assumption of homogeneous deformation does not hold in general and corrections must be made to remove the inconsistency in the mapping of the bond using F directly. There are generally two approaches to make this correction: the first is to modify F by introducing parameters that feature the length scale of the bond.…”
Section: The Spatial Secant Modelmentioning
confidence: 99%
See 2 more Smart Citations