2021
DOI: 10.1016/j.matdes.2021.109811
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Hierarchical kirigami-inspired graphene and carbon nanotube metamaterials: Tunability of thermo-mechanic properties

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Cited by 22 publications
(24 citation statements)
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“…The material parameters obtained by MD simulation cannot be directly used in the FE analysis because the graphene nanosheets and CNT contains the thickness effect. [20,56,57] The 2D graphene nanosheets are one-atom-thick nanomaterials. In MD calculation, we assume a thickness of 0.34 nm for all samples.…”
Section: Effective Parameters Applied In Fe Analysismentioning
confidence: 99%
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“…The material parameters obtained by MD simulation cannot be directly used in the FE analysis because the graphene nanosheets and CNT contains the thickness effect. [20,56,57] The 2D graphene nanosheets are one-atom-thick nanomaterials. In MD calculation, we assume a thickness of 0.34 nm for all samples.…”
Section: Effective Parameters Applied In Fe Analysismentioning
confidence: 99%
“…In MD calculation, we assume a thickness of 0.34 nm for all samples. [20,39,41] To exclude the thickness effects from these material parameters (e.g., stiffness and ultimate strength), an effective thickness for graphene and CNT is identified based on the strain energy and deflection in a three-point bending simulation. [56,57] The effective thickness and stiffness used in FE calculation are 1.27 Å and 2.81 TPa, respectively.…”
Section: Effective Parameters Applied In Fe Analysismentioning
confidence: 99%
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“…It seems that some of the first studies devoted to this topic were published by Gatt et al [45] and Cho et al [46] where the famous hierarchical rotating square system was proposed. In the following years, it was demonstrated [45][46][47][48][49] that this structure can exhibit tunable auxetic behavior where the extent of auxeticity depends on the relative rate of the deformation of hierarchical levels constituting the system. Recently, it was also reported that the design of the hierarchical square system can be modified in order to change its characteristic.…”
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confidence: 99%