A moving Kriging meshfree vibration analysis of functionally graded porous magneto-electro-elastic plates reinforced with graphene platelets

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2025-02-15 DOI:10.1016/j.advengsoft.2025.103885

P.T. Hung , Chien H. Thai , P. Phung-Van

{"title":"A moving Kriging meshfree vibration analysis of functionally graded porous magneto-electro-elastic plates reinforced with graphene platelets","authors":"P.T. Hung , Chien H. Thai , P. Phung-Van","doi":"10.1016/j.advengsoft.2025.103885","DOIUrl":null,"url":null,"abstract":"<div><div>This article introduces a moving Kriging (MK) meshfree approach for studying the free vibration analysis of functionally graded porous magneto-electro-elastic plates with graphene platelet reinforcement (FGP-MEE-GPL). Functionally graded porous (FGP) plates are valued for their customizable material properties, while graphene platelets (GPLs) improve their mechanical performance. The pores are distributed in three patterns: uniform, symmetric I, and symmetric II. Similarly, GPLs are also arranged in three distribution patterns across the plate thickness. The structural characteristics of open-cell metal foam are used to establish the correlation between Young's modulus and mass density, providing a more accurate representation of the material's properties. The governing equations for the FGP-MEE-GPL plate are derived using the principle of virtual work and the higher-order shear deformation theory. The MK meshfree method is suggested for approximating the displacement, electric, and magnetic fields. The MK meshfree method offers an efficient solution for analyzing the vibration of the FGP-MEE-GPL plate, seamlessly addressing complex geometries and multi-field coupling without the necessity of mesh generation. The proposed model is validated by comparing its results with the reference's solutions. Parametric studies explore the influence of the porous coefficient, porous and GPLs distributions, initial external load magnetic and electric loads, and geometry on the FGP-MEE-GPL plate's vibrational frequency.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103885"},"PeriodicalIF":5.7000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965997825000237","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 0

Abstract

This article introduces a moving Kriging (MK) meshfree approach for studying the free vibration analysis of functionally graded porous magneto-electro-elastic plates with graphene platelet reinforcement (FGP-MEE-GPL). Functionally graded porous (FGP) plates are valued for their customizable material properties, while graphene platelets (GPLs) improve their mechanical performance. The pores are distributed in three patterns: uniform, symmetric I, and symmetric II. Similarly, GPLs are also arranged in three distribution patterns across the plate thickness. The structural characteristics of open-cell metal foam are used to establish the correlation between Young's modulus and mass density, providing a more accurate representation of the material's properties. The governing equations for the FGP-MEE-GPL plate are derived using the principle of virtual work and the higher-order shear deformation theory. The MK meshfree method is suggested for approximating the displacement, electric, and magnetic fields. The MK meshfree method offers an efficient solution for analyzing the vibration of the FGP-MEE-GPL plate, seamlessly addressing complex geometries and multi-field coupling without the necessity of mesh generation. The proposed model is validated by comparing its results with the reference's solutions. Parametric studies explore the influence of the porous coefficient, porous and GPLs distributions, initial external load magnetic and electric loads, and geometry on the FGP-MEE-GPL plate's vibrational frequency.

查看原文本刊更多论文

石墨烯片增强功能梯度多孔磁电弹性板的移动Kriging无网格振动分析

本文介绍了一种移动Kriging （MK）无网格方法，用于研究石墨烯血小板增强功能梯度多孔磁电弹性板（FGP-MEE-GPL）的自由振动分析。功能梯度多孔（FGP）板因其可定制的材料特性而受到重视，而石墨烯片（gpl）则提高了其机械性能。孔隙呈均匀型、对称型和对称型三种分布模式。同样，gpl也以三种分布模式排列在板厚上。利用开孔金属泡沫的结构特性，建立杨氏模量和质量密度之间的相关性，提供更准确的材料性能表征。利用虚功原理和高阶剪切变形理论推导了FGP-MEE-GPL板的控制方程。提出了位移、电场和磁场近似的MK无网格法。MK无网格方法为分析FGP-MEE-GPL板的振动提供了一种有效的解决方案，无缝地解决了复杂的几何形状和多场耦合，而无需生成网格。通过与文献解的比较，验证了该模型的有效性。参数研究探讨了多孔系数、多孔和gpl分布、初始外部载荷、磁载荷和电载荷以及几何形状对FGP-MEE-GPL板振动频率的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.