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In this paper, a spectrum-based wrinkling analysis method via two-dimensional Fourier transformation is proposed aiming to solve the difficulty of nanoscale wrinkle evaluation. It evaluates the wrinkle characteristics including wrinkling wavelength and direction simply using a single wrinkling image. Based on this method, the evaluation results of nanoscale wrinkle characteristics show agreement with the open experimental results within an error of 6%. It is also verified to be appropriate for the macro wrinkle evaluation without scale limitations. The spectrum-based wrinkling analysis is an effective method for nanoscale evaluation, which contributes to reveal the mechanism of nanoscale wrinkling. [ABSTRACT FROM AUTHOR]

Abstract: A multiple component correlation model is first proposed to give an accurate prediction for the elastic modulus of single layer graphene sheets (SLGS). This model reflects the correlation of geometric size, chirality and aspect ratio by introducing two parameters, the graphene size and a coupling factor. The coupling factor may be used to reflect the chirality and aspect ratio simultaneously. Determination of the model coefficients is by using MD atomistic simulation. Precision of the prediction model is evaluated by relative error and confidence. The reliability of this model is verified by comparing with published data. It provides a convenient and effective prediction for elastic modulus of SLGS. It is beneficial to evaluate the complex macroscopic mechanical behavior of SLGS accurately. [Copyright &y& Elsevier]