基于渐近均匀化的应变梯度弹性动力学:控制方程、适定性和数值实例

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Quanzhang Li , Yipeng Rao , Zihao Yang , Junzhi Cui , Meizhen Xiang
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引用次数: 0

摘要

基于双尺度渐近均质理论,建立了非均质材料的应变梯度弹性动力学模型。该模型仅使用一阶单元函数,比以往使用高阶截断的模型更简洁,计算效率更高。严格证明了均匀化弹性张量、应变梯度刚度张量、微惯性张量等系数张量是对称正定的,从而建立了应变梯度弹性动力学模型的适定性,即解的存在唯一性。通过数值模拟验证了理论结果,并与经典弹性动力学模型(不含应变梯度项)和高阶截断应变梯度模型进行了比较。结果表明,基于一阶截断的应变梯度模型可以在精度和计算成本之间达到最佳平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymptotic homogenization-based strain gradient elastodynamics: Governing equations, well-posedness and numerical examples
We develop a strain gradient elastodynamics model for heterogeneous materials based on the two-scale asymptotic homogenization theory. Utilizing only the first-order cell functions, the present model is more concise and more computationally efficient than previous works with high-order truncations. Furthermore, we rigorously prove that the coefficient tensors, including the homogenized elasticity tensor, the strain gradient stiffness tensor, and the micro-inertial tensor are symmetric positive definite, thereby establishing the well-posedness of the strain gradient elastodynamics model, i.e., the existence and uniqueness of solutions. Numerical simulations are performed to confirm the theoretical findings and illustrate the characteristics of the present model in comparison with classical elastodynamics model (without strain gradient terms) and strain gradient models with higher-order truncations. The results indicate that the strain gradient model derived based on the first-order truncation can achieve an optimal balance between accuracy and computational cost.
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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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