{"title":"线性弹性的任意阶无参数、无锁定富集伽勒金方法","authors":"","doi":"10.1016/j.cma.2024.117375","DOIUrl":null,"url":null,"abstract":"<div><p>We propose a parameter-free and locking-free enriched Galerkin method of arbitrary order for solving the linear elasticity problem in both two and three space dimensions. Our method uses an approximation space that enriches the vector-valued continuous Galerkin space of order <span><math><mi>k</mi></math></span> with some discontinuous piecewise polynomials. To the best of our knowledge, it extends the locking-free enriched Galerkin space in Yi et al. (2022) to high orders for the first time. Compared to the continuous Galerkin method, the proposed method is locking-free with only <span><math><msup><mrow><mi>k</mi></mrow><mrow><mi>d</mi><mo>−</mo><mn>1</mn></mrow></msup></math></span> additional degree of freedom on each element. The parameter-free property of our method is realized by integrating the enriched Galerkin space into the framework of the modified weak Galerkin method. We rigorously establish the well-posedness of the method and provide optimal error estimates for the compressible case. Extensive numerical examples confirm both the accuracy and the locking-free property of the proposed method.</p></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A parameter-free and locking-free enriched Galerkin method of arbitrary order for linear elasticity\",\"authors\":\"\",\"doi\":\"10.1016/j.cma.2024.117375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We propose a parameter-free and locking-free enriched Galerkin method of arbitrary order for solving the linear elasticity problem in both two and three space dimensions. Our method uses an approximation space that enriches the vector-valued continuous Galerkin space of order <span><math><mi>k</mi></math></span> with some discontinuous piecewise polynomials. To the best of our knowledge, it extends the locking-free enriched Galerkin space in Yi et al. (2022) to high orders for the first time. Compared to the continuous Galerkin method, the proposed method is locking-free with only <span><math><msup><mrow><mi>k</mi></mrow><mrow><mi>d</mi><mo>−</mo><mn>1</mn></mrow></msup></math></span> additional degree of freedom on each element. The parameter-free property of our method is realized by integrating the enriched Galerkin space into the framework of the modified weak Galerkin method. We rigorously establish the well-posedness of the method and provide optimal error estimates for the compressible case. Extensive numerical examples confirm both the accuracy and the locking-free property of the proposed method.</p></div>\",\"PeriodicalId\":55222,\"journal\":{\"name\":\"Computer Methods in Applied Mechanics and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Applied Mechanics and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045782524006303\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Applied Mechanics and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045782524006303","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
我们提出了一种无参数、无锁定的任意阶丰富 Galerkin 方法,用于解决二维和三维空间的线性弹性问题。我们的方法使用一个近似空间,用一些不连续的片断多项式丰富了 k 阶的矢量连续 Galerkin 空间。据我们所知,它首次将 Yi 等人(2022 年)中的无锁富集 Galerkin 空间扩展到了高阶。与连续 Galerkin 方法相比,所提出的方法是无锁定的,每个元素只增加了 kd-1 个自由度。我们方法的无参数特性是通过将丰富的 Galerkin 空间集成到改进的弱 Galerkin 方法框架中实现的。我们严格确定了该方法的拟合性,并提供了可压缩情况下的最佳误差估计。大量数值实例证实了所提方法的准确性和无锁定特性。
A parameter-free and locking-free enriched Galerkin method of arbitrary order for linear elasticity
We propose a parameter-free and locking-free enriched Galerkin method of arbitrary order for solving the linear elasticity problem in both two and three space dimensions. Our method uses an approximation space that enriches the vector-valued continuous Galerkin space of order with some discontinuous piecewise polynomials. To the best of our knowledge, it extends the locking-free enriched Galerkin space in Yi et al. (2022) to high orders for the first time. Compared to the continuous Galerkin method, the proposed method is locking-free with only additional degree of freedom on each element. The parameter-free property of our method is realized by integrating the enriched Galerkin space into the framework of the modified weak Galerkin method. We rigorously establish the well-posedness of the method and provide optimal error estimates for the compressible case. Extensive numerical examples confirm both the accuracy and the locking-free property of the proposed method.
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.