A multiscale anisotropic polymer network model coupled with phase field fracture

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Prajwal Kammardi Arunachala, Sina Abrari Vajari, Matthias Neuner, Jay Sejin Sim, Renee Zhao, Christian Linder
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引用次数: 0

Abstract

The study of polymers has continued to gain substantial attention due to their expanding range of applications, spanning essential engineering fields to emerging domains like stretchable electronics, soft robotics, and implantable sensors. These materials exhibit remarkable properties, primarily stemming from their intricate polymer chain network, which, in turn, increases the complexity of precisely modeling their behavior. Especially for modeling elastomers and their fracture behavior, accurately accounting for the deformations of the polymer chains is vital for predicting the rupture in highly stretched chains. Despite the importance, many robust multiscale continuum frameworks for modeling elastomer fracture tend to simplify network deformations by assuming uniform behavior among chains in all directions. Recognizing this limitation, our study proposes a multiscale fracture model that accounts for the anisotropic nature of elastomer network responses. At the microscale, damage in the chains is assumed to be driven by both the chain's entropy and the internal energy due to molecular bond distortions. In order to bridge the stretching in the chains to the macroscale deformation, we employ the maximal advance path constraint network model, inherently accommodating anisotropic network responses. As a result, chains oriented differently can be predicted to exhibit varying stretch and, consequently, different damage levels. To drive macroscale fracture based on damages in these chains, we utilize the micromorphic regularization theory, which involves the introduction of dual local-global damage variables at the macroscale. The macroscale local damage variable is obtained through the homogenization of the chain damage values, resulting in the prediction of an isotropic material response. The macroscale global damage variable is subjected to nonlocal effects and boundary conditions in a thermodynamically consistent phase field continuum formulation. Moreover, the total dissipation in the system is considered to be mainly due to the breaking of the molecular bonds at the microscale. To validate our model, we employ the double-edge notched tensile test as a benchmark, comparing simulation predictions with existing experimental data. Additionally, to enhance our understanding of the fracturing process, we conduct uniaxial tensile experiments on a square film made up of polydimethylsiloxane (PDMS) rubber embedded with a hole and notches and then compare our simulation predictions with the experimental observations. Furthermore, we visualize the evolution of stretch and damage values in chains oriented along different directions to assess the predictive capacity of the model. The results are also compared with another existing model to evaluate the utility of our model in accurately simulating the fracture behavior of rubber-like materials.

与相场断裂耦合的多尺度各向异性聚合物网络模型
由于聚合物的应用范围不断扩大,从基本工程领域到新兴领域(如可拉伸电子器件、软机器人和植入式传感器),聚合物的研究一直备受关注。这些材料表现出非凡的特性,主要源于其错综复杂的聚合物链网络,这反过来又增加了对其行为进行精确建模的复杂性。特别是对于弹性体及其断裂行为的建模,准确计算聚合物链的变形对于预测高度拉伸链的断裂至关重要。尽管如此重要,许多用于模拟弹性体断裂的稳健多尺度连续框架都倾向于通过假设链在所有方向上的均匀行为来简化网络变形。认识到这一局限性,我们的研究提出了一种多尺度断裂模型,该模型考虑了弹性体网络响应的各向异性。在微观尺度上,假定链的损坏是由链的熵和分子键变形产生的内能共同驱动的。为了将链中的拉伸与宏观变形联系起来,我们采用了最大前进路径约束网络模型,该模型本质上可容纳各向异性的网络响应。因此,可以预测不同方向的链会表现出不同的拉伸,进而产生不同的损伤程度。为了根据这些链中的损伤来驱动宏观断裂,我们利用了微形态正则化理论,其中包括在宏观尺度上引入局部和全局双重损伤变量。宏观局部损伤变量是通过链损伤值的均质化得到的,从而预测出各向同性的材料响应。在热力学相场连续公式中,宏观全局损伤变量受到非局部效应和边界条件的影响。此外,系统中的总耗散被认为主要是由于微观尺度上分子键的断裂造成的。为了验证我们的模型,我们采用了双刃缺口拉伸试验作为基准,将模拟预测与现有实验数据进行比较。此外,为了加深我们对断裂过程的理解,我们在由聚二甲基硅氧烷(PDMS)橡胶组成的方形薄膜上进行了单轴拉伸实验,薄膜上嵌入了一个孔和缺口,然后将模拟预测与实验观察结果进行比较。此外,我们还对沿不同方向的链的拉伸和损伤值的演变进行了可视化,以评估模型的预测能力。我们还将结果与另一个现有模型进行了比较,以评估我们的模型在精确模拟类橡胶材料断裂行为方面的实用性。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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