A meshfree immersed variational multiscale method for perfectly bonded interfaces

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Andrew B. Groeneveld , Michael C. Hillman , Pinlei Chen
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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.

Abstract Image

完美结合界面的无网格浸入变分多尺度方法
复合材料在许多工程应用中无处不在,计算材料界面附近的应力对于预测和理解这些材料的细观和微观结构破坏至关重要。虽然有许多值得注意的方法来解决这个问题,但在数值模拟中仍然难以实现稳定的界面牵引力。本文提出了一种简化的浸入式变分多尺度(SIVMS)方法,该方法可以获得稳定的、收敛的法向牵引结果。研究了SIVMS在体域和界面牵引下的收敛行为,并与拉格朗日乘子法和Nitsche法等传统方法进行了比较。为Nitsche的方法选择适当的参数值的困难是突出的。相比之下,SIVMS提供了从假设的细尺度基函数自然产生的稳定性。所提出的SIVMS方法不受特别参数的影响,在界面牵引中具有良好的精度和稳定性。给出了几个基准测试用例,验证了该方法的有效性和适用性。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
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.
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