Predictions of temperature-dependent material properties and auxeticity of graphene platelets

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Mechanics of Materials Pub Date : 2025-02-27 DOI:10.1016/j.mechmat.2025.105311
Zhouyu Zheng, Hui-Shen Shen, Bai-Wei Na, Yin Fan, Xiuhua Chen, Hai Wang
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引用次数: 0

Abstract

In current engineering applications, there is a lack of a complete set of material properties for graphene platelets (GPLs). In this paper, we predict the material properties of GPLs through atomistic structural mechanics and molecular dynamics (MD) simulations. A novel spring beam-based finite element model is designed and implemented for the analysis of material properties. Numerical results of the atomistic structural mechanics model are compared with those of the MD model. In the present proposed model, the interlayer distance of GPL is varied as the number of layer increases, and the numerical results show that the varying of interlayer distance has a significant influence on the Young's moduli E11 and E22, and shear modulus G12 of GPLs under AIREBO potential. The simulation results reveal that the material properties of GPLs are slightly anisotropic and in most cases GPLs have auxetic properties. The temperature-dependent material properties, including Young's moduli, shear modulus and thermal expansion coefficients of GPLs with in-plane positive and negative Poisson's ratios are obtained for the first time.
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来源期刊
Mechanics of Materials
Mechanics of Materials 工程技术-材料科学:综合
CiteScore
7.60
自引率
5.10%
发文量
243
审稿时长
46 days
期刊介绍: Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.
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