Andrew B. Groeneveld , Michael C. Hillman , Pinlei Chen
{"title":"A meshfree immersed variational multiscale method for perfectly bonded interfaces","authors":"Andrew B. Groeneveld , Michael C. Hillman , Pinlei Chen","doi":"10.1016/j.cma.2025.118344","DOIUrl":null,"url":null,"abstract":"<div><div>Composites are ubiquitous in many engineering applications, and computing stresses near material interfaces is crucial for predicting and understanding meso- and micro-structural failure in these materials. While many notable approaches to this problem are available, stable interfacial tractions are still difficult to achieve in numerical simulations. This work presents a simplified immersed variational multiscale (SIVMS) method for interfaces that achieves stable, convergent results for the normal traction. The convergence behavior in both the bulk domain fields and interfacial tractions is investigated for SIVMS and is compared to conventional methods such as the Lagrange multiplier method and Nitsche’s method. The difficulty in selecting appropriate values of parameters for Nitsche’s method is highlighted. In contrast, SIVMS provides stabilization that emanates naturally from the assumed fine-scale basis functions. The proposed SIVMS method is free from ad-hoc parameters and provides good accuracy and stability in interfacial tractions. Several benchmark test cases are presented to show the effectiveness and confirm the range of applicability of the proposed method.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"447 ","pages":"Article 118344"},"PeriodicalIF":7.3000,"publicationDate":"2025-09-02","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/S0045782525006164","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
Abstract
Composites are ubiquitous in many engineering applications, and computing stresses near material interfaces is crucial for predicting and understanding meso- and micro-structural failure in these materials. While many notable approaches to this problem are available, stable interfacial tractions are still difficult to achieve in numerical simulations. This work presents a simplified immersed variational multiscale (SIVMS) method for interfaces that achieves stable, convergent results for the normal traction. The convergence behavior in both the bulk domain fields and interfacial tractions is investigated for SIVMS and is compared to conventional methods such as the Lagrange multiplier method and Nitsche’s method. The difficulty in selecting appropriate values of parameters for Nitsche’s method is highlighted. In contrast, SIVMS provides stabilization that emanates naturally from the assumed fine-scale basis functions. The proposed SIVMS method is free from ad-hoc parameters and provides good accuracy and stability in interfacial tractions. Several benchmark test cases are presented to show the effectiveness and confirm the range of applicability 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.