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2017
DOI: 10.1016/j.physb.2017.03.030
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Nonlocal strain gradient theory calibration using molecular dynamics simulation based on small scale vibration of nanotubes

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Cited by 108 publications
(26 citation statements)
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References 81 publications
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“…As can be seen, our results are completely matched with those from the literature. Table 3 shows the results of a carbon nanotube (CNT) that was studied according to NSGT by [69] in a shell-like structure and by [70] in a beam-like structure. As can be observed, our results match well with those of both pieces of literature.…”
Section: Results Validationmentioning
confidence: 99%
“…As can be seen, our results are completely matched with those from the literature. Table 3 shows the results of a carbon nanotube (CNT) that was studied according to NSGT by [69] in a shell-like structure and by [70] in a beam-like structure. As can be observed, our results match well with those of both pieces of literature.…”
Section: Results Validationmentioning
confidence: 99%
“…and a are a scale parameter for calibrating the theoretical model and the internal characteristics length of the nanotube, respectively [54,55]. The strain gradient parameter and the nonlocal parameter are determined using experimental measurements or MD simulations [21,56,57]. For instance, Li et al [35] obtained the scale parameters of carbon 6 nanotubes for the wave propagation analysis via MD simulations.…”
Section: Size-dependent Formulation and Solution Techniquementioning
confidence: 99%
“…In general, the nonlocal and strain gradient parameters are obtained from experimental data or the results of molecular dynamics (MD). In the literature, MD simulations were performed to determine these scale parameters for both nanotubes and fluid-conveying nanotubes (Mohammadi et al, 2018;Mehralian et al, 2017a;Mehralian et al, 2017b). The values of nonlocal and strain gradient parameters, which are taken in the present paper, are in the recommended range obtained by MD simulations.…”
Section: A Nsgt-based Modellingmentioning
confidence: 99%