Second-order computational homogenization for bridging poromechanical scales under large deformations

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
J.L.M. Thiesen , B. Klahr , T.A. Carniel , G.A. Holzapfel , P.J. Blanco , E.A. Fancello
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引用次数: 0

Abstract

We introduce a second-order computational homogenization procedure designed to address heterogeneous poromechanical media. Our approach relies on the method of multiscale virtual power, a variational multiscale method that extends the Hill–Mandel principle of macro-homogeneity. Constraints on displacement and pore pressure fields are managed using periodic and second-order minimally constrained fluctuating spaces. Numerical comparisons reveal that first-order models fail to accurately represent nonzero net fluid flow and volume changes at the micro-scale. In contrast, our second-order approach effectively captures nonuniform fluid flow across representative volume element boundaries, in agreement with results from direct numerical simulations. Our findings indicate that the classical first-order expansion of the pressure field is inadequate for poromechanical homogenization in cases involving micro-scale volume changes, such as swelling or contraction. The proposed second-order approach not only overcomes these limitations but also proves effective in cases where the principle of separation of scales is not strictly upheld.
在大变形条件下桥接孔力学尺度的二阶计算均质化
我们介绍了一种二阶计算均质化程序,旨在解决异质孔隙力学介质问题。我们的方法依赖于多尺度虚拟功率方法,这是一种扩展了宏观均质性希尔-曼德尔原理的变分多尺度方法。对位移和孔隙压力场的约束采用周期和二阶最小约束波动空间进行管理。数值比较显示,一阶模型无法准确表示微尺度的非零净流体流量和体积变化。相比之下,我们的二阶方法能有效捕捉跨代表性体积元素边界的非均匀流体流动,这与直接数值模拟的结果一致。我们的研究结果表明,在涉及微尺度体积变化(如膨胀或收缩)的情况下,压力场的经典一阶扩展不足以实现孔力学均质化。所提出的二阶方法不仅克服了这些局限性,而且在不严格遵守尺度分离原则的情况下也证明是有效的。
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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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