混合智能(SMA键合)纳米复合材料双弯曲结构的非线性数值热弹性频率预测

IF 4.2 2区 工程技术 Q1 MECHANICS
Kulmani Mehar , Ashish Kumar Meher , Naveen Kumar Akkasali , Subrata Kumar Panda , Ankur Jaiswal
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引用次数: 0

摘要

本研究利用两种不同类型的非线性(几何非线性和材料非线性)预测了智能纳米复合材料结构的热弹性模态响应。利用几何非线性的全形式(格林-拉格朗日)和高阶运动学(厚度和位移变化是恒定的)在数学上推导出结构模型。此外,还采用等效单层理论对温度变化的形状记忆合金的配方和材料非线性进行了分析。采用非线性有限元步骤对控制方程进行数值求解。通过网格细化试验,并与已发表的领域进行对比,验证了数值解的精度。通过改变参数(材料、几何形状和环境)进行了一组数值分析。详细讨论了当前解决方案/模型的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlinear numerical thermoelastic frequency prediction of hybrid smart (SMA bonded) nanocomposite doubly curved structure
This research predicted the thermoelastic modal responses of smart nanocomposite structure utilizing two different types of nonlinearities (geometry and material). The structural model is derived mathematically using full form of geometrical nonlinearity (Green-Lagrange) and higher-order kinematics (through thickness and displacement variation is constant). Additionally, an equivalent single-layer theory has been adopted for the formulation and material nonlinearity introduced for shape memory alloy with temperature variation. The desired governing equation is solved numerically using nonlinear finite element steps. Numerical solution accuracy is verified by conducting the mesh refinement test and comparing the results with published domain. A set of numerical analysis are conducted by changing the parameters (material, geometry and environment). The current solution/model efficiencies are discussed in detail.
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来源期刊
CiteScore
7.00
自引率
7.30%
发文量
275
审稿时长
48 days
期刊介绍: The European Journal of Mechanics endash; A/Solids continues to publish articles in English in all areas of Solid Mechanics from the physical and mathematical basis to materials engineering, technological applications and methods of modern computational mechanics, both pure and applied research.
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