C0 FEM approximation for the thermal buckling analysis of thin plates: Lagrange Multiplier and Penalty Methods

IF 4.2 2区 工程技术 Q1 MECHANICS European Journal of Mechanics A-Solids Pub Date : 2025-05-01 Epub Date: 2025-02-12 DOI:10.1016/j.euromechsol.2025.105605
Saeedeh Qaderi , Michele Bacciocchi , Nicholas Fantuzzi
{"title":"C0 FEM approximation for the thermal buckling analysis of thin plates: Lagrange Multiplier and Penalty Methods","authors":"Saeedeh Qaderi ,&nbsp;Michele Bacciocchi ,&nbsp;Nicholas Fantuzzi","doi":"10.1016/j.euromechsol.2025.105605","DOIUrl":null,"url":null,"abstract":"<div><div>A <span><math><msup><mrow><mi>C</mi></mrow><mrow><mn>0</mn></mrow></msup></math></span> FEM approximation for the thermal buckling of laminated thin plates employing the Lagrange Multiplier Method (LMM) and Penalty Method (PM) has been assessed. Such methods enforce internal constraints without requiring more complex formulations in a classical finite element implementation. Specifically, the thin plate assumption is applied in a first-order plate theory, eliminating the need for Hermite interpolation functions and complex meshing. Constraints are included in the formulation via energy functions. Applying the two methods enables the interpolation of displacement parameters using Lagrange shape functions with <span><math><msup><mrow><mi>C</mi></mrow><mrow><mn>0</mn></mrow></msup></math></span> continuity. This approach simplifies implementation and enhances computational efficiency. In terms of model size, the Penalty Method (PM) does not introduce additional degrees of freedom (DOF). In contrast, the Lagrange Multiplier Method (LMM) increases the system’s DOF due to the inclusion of Lagrange multipliers. For the case of LMM, the regularization method has been utilized to solve the saddle point problem. A parametric study has been carried out for the critical buckling temperatures of laminated thin plates. To verify the effectiveness of the proposed method, results were compared with known analytical solutions and other conventional approaches, demonstrating strong agreement. Comparing the two methods shows that both LMM and PM simplify implementing numerical algorithms for optimal solutions in computational environments.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"111 ","pages":"Article 105605"},"PeriodicalIF":4.2000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Mechanics A-Solids","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0997753825000397","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0

Abstract

A C0 FEM approximation for the thermal buckling of laminated thin plates employing the Lagrange Multiplier Method (LMM) and Penalty Method (PM) has been assessed. Such methods enforce internal constraints without requiring more complex formulations in a classical finite element implementation. Specifically, the thin plate assumption is applied in a first-order plate theory, eliminating the need for Hermite interpolation functions and complex meshing. Constraints are included in the formulation via energy functions. Applying the two methods enables the interpolation of displacement parameters using Lagrange shape functions with C0 continuity. This approach simplifies implementation and enhances computational efficiency. In terms of model size, the Penalty Method (PM) does not introduce additional degrees of freedom (DOF). In contrast, the Lagrange Multiplier Method (LMM) increases the system’s DOF due to the inclusion of Lagrange multipliers. For the case of LMM, the regularization method has been utilized to solve the saddle point problem. A parametric study has been carried out for the critical buckling temperatures of laminated thin plates. To verify the effectiveness of the proposed method, results were compared with known analytical solutions and other conventional approaches, demonstrating strong agreement. Comparing the two methods shows that both LMM and PM simplify implementing numerical algorithms for optimal solutions in computational environments.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
薄板热屈曲分析的C0有限元近似:拉格朗日乘子法和惩罚法
采用拉格朗日乘子法和惩罚法对层合薄板的热屈曲进行了C0有限元近似计算。这种方法强制内部约束,而不需要在经典有限元实现中使用更复杂的公式。具体来说,将薄板假设应用于一阶板理论,消除了对Hermite插值函数和复杂网格划分的需要。约束通过能量函数包含在公式中。这两种方法的应用使得位移参数的插值可以用具有C0连续性的拉格朗日形状函数来实现。这种方法简化了实现,提高了计算效率。在模型大小方面,惩罚方法(PM)不引入额外的自由度(DOF)。相比之下,拉格朗日乘子方法(LMM)由于包含拉格朗日乘子而增加了系统的自由度。对于LMM,采用正则化方法求解鞍点问题。对层合薄板的临界屈曲温度进行了参数化研究。为了验证该方法的有效性,将结果与已知的解析解和其他传统方法进行了比较,结果显示出很强的一致性。两种方法的比较表明,LMM和PM都简化了在计算环境中实现最优解的数值算法。
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 去求助
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.
期刊最新文献
An efficient deep learning model for random vibration response prediction of high-speed railway train-bridge coupled system Finding the shape of funicular shells: An inspiration from natural abrasion Modelling multi-cracking in concrete structures: from detailed cohesive fracture to a coarser damage model A shear-modified Gurson model incorporating anisotropic coalescence for predicting ductile fracture behaviour of hot-rolled steel Semi-analytic solutions for finite-rotation attitude dynamics of gyrostatic rigid bodies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1