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A review of research and recent trends in analysis of composite plates

机译:复合板分析研究及最新趋势综述

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The use of advance composite materials is increasing in various industrial applications such as renewable energy, transportation, medical devices, etc. As the demand for stability under high mechanical, thermal, electrical and combined loads is increasing, research is being focused on developing newer types ofcomposites and developing analytical and numerical methods to study composite plates as well. The present work is aimed to provide a comprehensive review of research in the structural analysis of composite plates along-with research trends in the last 15 years. The article first presents the evolution of plate theories comparing their formulations, applicability and discusses some key papers, results and conclusions. Evolution of research from the equivalent shear deformation theories (ESL) such as first order theory and higher order theories based on various shape strain functions e.g., polynomial, trigonometric to layer-wise, zigzag and displacement potential theories is presented. The comparative analysis of various solution approaches is done based on a review of research work in the structural analysis of plates. This is followed by review of meshlessanalysis methods for composite materials highlighting problem domains where conventional finite element analysis (FEA) approach has limitations. This article also presents a discussion on the new methods of plate analysis such as region-by-region modeling, hierarchic modeling and mixed FE and neural network basedmodeling. An attempt has been done in this article to focus on research trends in the last 15 years.
机译:先进的复合材料在可再生能源,交通运输,医疗设备等各种工业应用中的使用正在增加。随着在高机械,热,电和组合载荷下对稳定性的需求不断增加,研究正集中在开发新类型上还研究了复合材料,并开发了分析和数值方法来研究复合板。本工作旨在提供对复合板结构分析研究的全面回顾,以及最近15年的研究趋势。本文首先介绍了板理论的发展,比较了其理论,适用性,并讨论了一些关键论文,结果和结论。提出了基于等效剪切变形理论(ESL)的研究进展,例如一阶理论和基于各种形状应变函数的高阶理论,例如多项式,三角函数到分层,之字形和位移势能理论。在对板结构分析的研究工作进行回顾的基础上,完成了各种解决方案方法的比较分析。接下来是对复合材料的无网格分析方法的回顾,突出了传统有限元分析(FEA)方法存在局限性的问题领域。本文还对板块分析的新方法进行了讨论,例如按区域建模,分层建模以及基于有限元和神经网络的混合建模。本文已尝试将重点放在过去15年的研究趋势上。

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