Generalized reproducing kernel peridynamics: unification of local and non-local meshfree methods, non-local derivative operations, and an arbitrary-order state-based peridynamic formulation

被引:0
|
作者
Michael Hillman
Marco Pasetto
Guohua Zhou
机构
[1] The Pennsylvania State University,
[2] University of California,undefined
[3] San Diego,undefined
[4] Optimal Inc.,undefined
来源
关键词
Meshfree methods; Peridynamics; Reproducing kernel; Non-local derivatives; High-order;
D O I
暂无
中图分类号
学科分类号
摘要
State-based peridynamics is a non-local reformulation of solid mechanics that replaces the force density of the divergence of stress with an integral of the action of force states on bonds local to a given position, which precludes differentiation with the aim to model strong discontinuities effortlessly. A popular implementation is a meshfree formulation where the integral is discretized by quadrature points, which results in a series of unknowns at the points under the strong-form collocation framework. In this work, the meshfree discretization of state-based peridynamics under the correspondence principle is examined and compared to traditional meshfree methods based on the classical local formulation of solid mechanics. It is first shown that the way in which the peridynamic formulation approximates differentiation can be unified with the implicit gradient approximation, and this is termed the reproducing kernel peridynamic approximation. This allows the construction of non-local deformation gradients with arbitrary-order accuracy, as well as non-local approximations of higher-order derivatives. A high-order accurate non-local divergence of stress is then proposed to replace the force density in the original state-based peridynamics, in order to obtain global arbitrary-order accuracy in the numerical solution. These two operators used in conjunction with one another is termed the reproducing kernel peridynamic method. The strong-form collocation version of the method is tested against benchmark solutions to examine and verify the high-order accuracy and convergence properties of the method. The method is shown to exhibit superconvergent behavior in the nodal collocation setting.
引用
收藏
页码:435 / 469
页数:34
相关论文
共 50 条
  • [21] A generalized fractional-order elastodynamic theory for non-local attenuating media
    Patnaik, Sansit
    Semperlotti, Fabio
    PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2020, 476 (2238):
  • [22] Non-local strength conditions based on generalized δc cohesive models
    Mikhailov, SE
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 2000, 80 : S483 - S486
  • [23] A new nonlinear triadic model of predator-prey based on derivative with non-local and non-singular kernel
    Alkahtani, Badr Saad T.
    Atangana, Abdon
    Koca, Ilknur
    ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (11) : 1 - 9
  • [24] Local and Non-Local Feature-based Kernel Nonnegative Matrix Factorization Method for Face Recognition
    Chen, Wen-Sheng
    Wang, Qian
    Pan, Binbin
    Li, Yu-Gao
    PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2016, : 107 - 110
  • [25] New numerical approximation of fractional derivative with non-local and non-singular kernel: Application to chaotic models
    Mekkaoui Toufik
    Abdon Atangana
    The European Physical Journal Plus, 132
  • [26] A mechanism-based spatiotemporal non-local constitutive formulation for elastodynamics of composites
    Wang, Linjuan
    Xu, Jifeng
    Wang, Jianxiang
    Karihaloo, Bhushan L.
    MECHANICS OF MATERIALS, 2019, 128 : 105 - 116
  • [27] New numerical approximation of fractional derivative with non-local and non-singular kernel: Application to chaotic models
    Toufik, Mekkaoui
    Atangana, Abdon
    EUROPEAN PHYSICAL JOURNAL PLUS, 2017, 132 (10):
  • [28] Kernel-based fuzzy local information clustering algorithm self-integrating non-local information
    Song, Qiuyu
    Wu, Chengmao
    Tian, Xiaoping
    Song, Yue
    Guo, Xiaokang
    DIGITAL SIGNAL PROCESSING, 2022, 122
  • [29] Optical solitons with Kudryashov's arbitrary form of refractive index and generalized non-local nonlinearity
    Gepreel, Khaled A.
    Zayed, Elsayed M. E.
    Alngar, Mohamed E. M.
    Biswas, Anjan
    Guggilla, Padmaja
    Khan, Salam
    Yildirim, Yakup
    Alzahrani, Abdullah K.
    Belic, Milivoj R.
    OPTIK, 2021, 243
  • [30] Adaptive Non-local Means Filter Based on Multi-kernel for Complicated Noise
    Long, Qian
    Qu, Hongwei
    Wang, Yiping
    Wang, Gaihua
    Zhu, Bolun
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT VII, ICIC 2024, 2024, 14868 : 381 - 389