首页> 外文期刊>International journal of multiscale computational engineering >BUCKLING OF FGM TIMOSHENKO MICROBEAMS UNDER IN-PLANE THERMAL LOADING BASED ON THE MODIFIED STRAIN GRADIENT THEORY
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BUCKLING OF FGM TIMOSHENKO MICROBEAMS UNDER IN-PLANE THERMAL LOADING BASED ON THE MODIFIED STRAIN GRADIENT THEORY

机译:基于修正应变梯度理论的平面热载荷作用下的FGM TIMOSHENKO微梁屈曲

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摘要

According to the theory of thermal elasticity mechanics, thermal buckling characteristics of microbeams made of functionally graded materials (FGMs) are presented. The material properties of FGM microbeams are considered to be graded in the thickness direction on the basis of the Mori-Tanaka homogenization scheme. Based on the strain gradient elasticity theory, a size-dependent elastic beam model xvithin the framework of the Timoshenko beam theory is developed containing three internal material length scale parameters to interpret size effect. By using Hamilton's principle, the higher-order governing differential equations of motion and related boundary conditions are derived. Afterward, the generalized differential quadrature (GDQ) method is employed to discretize the governing differential equations along various end supports and then the critical thermal buckling loads of FGM microbeams with three commonly used sets of boundary conditions are determined. The applicability of the present nonclassical beam model to predict thermal buckling behavior of FGM microbeams is established via various numerical results. It is found that the difference between thermal buckling of microbeams subjected to the uniform, linear, and nonlinear temperature distributions is more significant corresponding to the higher values of material property gradient index.
机译:根据热弹性力学理论,提出了功能梯度材料(FGM)制成的微梁的热屈曲特性。基于Mori-Tanaka均质化方案,认为FGM微束的材料特性在厚度方向上是分级的。基于应变梯度弹性理论,建立了基于尺寸的弹性梁模型xvithin,该模型在Timoshenko梁理论的框架内包含三个内部材料长度尺度参数以解释尺寸效应。利用汉密尔顿原理,导出了运动的高阶控制微分方程及相关边界条件。然后,采用广义微分正交(GDQ)方法离散化沿各个端部支撑的控制微分方程,然后确定具有三组常用边界条件的FGM微束的临界热屈曲载荷。通过各种数值结果,建立了当前非经典梁模型对FGM微梁的热屈曲行为进行预测的适用性。发现随着均匀的,线性的和非线性的温度分布,微束的热屈曲之间的差异更大,这与材料特性梯度指数的更高值相对应。

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