Discontinuous Galerkin finite element method for dynamic viscoelasticity models of power‐law type

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-06 DOI:10.1002/num.23107
Yongseok Jang, Simon Shaw
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Abstract

Linear viscoelasticity can be characterized by a stress relaxation function. We consider a power‐law type stress relaxation to yield a fractional order viscoelasticity model. The governing equation is a Volterra integral problem of the second kind with a weakly singular kernel. We employ spatially discontinuous Galerkin methods, symmetric interior penalty Galerkin method (SIPG) for spatial discretization, and the implicit finite difference schemes in time, Crank–Nicolson method. Further, in order to manage the weak singularity in the Volterra kernel, we use a linear interpolation technique. We present a priori stability and error analyses without relying on Grönwall's inequality, and so provide high quality bounds that do not increase exponentially in time. This indicates that our numerical scheme is well‐suited for long‐time simulations. Despite the limited regularity in time, we establish suboptimal fractional order accuracy in time as well as optimal convergence of SIPG. We carry out numerical experiments with varying regularity of exact solutions to validate our error estimates. Finally, we present numerical simulations based on real material data.
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幂律型动态粘弹性模型的非连续 Galerkin 有限元方法
线性粘弹性可以用应力松弛函数来表征。我们考虑用幂律型应力松弛来产生分数阶粘弹性模型。控制方程是一个具有弱奇异内核的第二类 Volterra 积分问题。我们采用了空间不连续 Galerkin 方法、对称内部惩罚 Galerkin 方法(SIPG)进行空间离散化,以及时间隐式有限差分方案、Crank-Nicolson 方法。此外,为了处理 Volterra 核中的弱奇异性,我们使用了线性插值技术。我们提出了先验稳定性和误差分析,而不依赖于格伦沃尔不等式,因此提供了不会随时间呈指数增长的高质量边界。这表明我们的数值方案非常适合长时间模拟。尽管时间上的正则性有限,我们还是确定了 SIPG 在时间上的次优分数阶精度以及最佳收敛性。我们对精确解的不同规律性进行了数值实验,以验证我们的误差估计。最后,我们介绍了基于真实材料数据的数值模拟。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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