石墨烯薄片的温度依赖性材料特性和塑性预测

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zhouyu Zheng, Hui-Shen Shen, Bai-Wei Na, Yin Fan, Xiuhua Chen, Hai Wang
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引用次数: 0

摘要

在目前的工程应用中,石墨烯薄片(gpl)缺乏一套完整的材料特性。在本文中,我们通过原子结构力学和分子动力学(MD)模拟来预测gpl的材料性能。设计并实现了一种基于弹簧梁的材料性能分析有限元模型。将原子结构力学模型的数值结果与MD模型的数值结果进行了比较。在该模型中,GPL层间距离随层数的增加而变化,数值结果表明,层间距离的变化对AIREBO势下GPL的杨氏模量E11和E22以及剪切模量G12有显著影响。仿真结果表明,gpl的材料性能具有轻微的各向异性,并且在大多数情况下gpl具有生长性。首次获得了面内正、负泊松比gpl材料的杨氏模量、剪切模量和热膨胀系数等随温度变化的材料特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictions of temperature-dependent material properties and auxeticity of graphene platelets
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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