Peridynamic correspondence model for nearly-incompressible finite elasticity

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Francesco Scabbia , Vito Diana , Francesca Fantoni , Mirco Zaccariotto , Ugo Galvanetto
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引用次数: 0

Abstract

This paper presents a correspondence model for use with peridynamic states in the context of nearly incompressible finite elasticity. An isochoric/volumetric decomposition is adopted, enabling the derivation of the peridynamic force state from a purely spherical, pointwise non-local deformation gradient and a deviatoric, bond-level non-local deformation gradient. This approach leads to a stable one-field, state-based peridynamic formulation that is free from zero-energy modes and capable of accurately capturing the mechanical behavior of elastic materials under large deformations, including those with low or negligible compressibility, typical of unfilled elastomers and isotropic soft biological tissues. Notably, the proposed correspondence model, based on a selective bond-associated deformation gradient, avoids the artificial stiffening commonly observed in standard displacement-based formulations near the incompressible limit. Moreover, its performance is shown to be independent of the specific compressibility ratio assumed in the hyperelastic constitutive law. The model has been successfully validated using classical polynomial strain energy functions through a series of illustrative examples involving both homogeneous and inhomogeneous finite deformations in isotropic hyperelastic solids.
近不可压缩有限弹性的周动力对应模型
本文提出了一种近似不可压缩有限弹性下的动态对应模型。采用等时/体积分解,可以从纯球面、点向非局部变形梯度和偏态、粘结级非局部变形梯度推导出环动力状态。这种方法产生了稳定的单场、基于状态的周动力学公式,该公式不受零能量模式的影响,能够准确捕捉大变形下弹性材料的力学行为,包括那些具有低或可忽略压缩性的材料,典型的未填充弹性体和各向同性软生物组织。值得注意的是,所提出的对应模型基于选择性键相关变形梯度,避免了在不可压缩极限附近标准基于位移的公式中常见的人为加劲。此外,其性能与超弹性本构律中假设的比压缩比无关。通过一系列涉及各向同性超弹性固体的均匀和非均匀有限变形的示例,成功地使用经典多项式应变能函数验证了该模型。
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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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