2017
DOI: 10.1016/j.camwa.2017.02.008
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An hp-Galerkin method with fast solution for linear peridynamic models in one dimension

Abstract: The computational work and memory requirement are bottlenecks for Galerkin finite element methods for peridynamic models because of their non-locality. In this paper, fast Galerkin and hp-Galerkin finite element methods are introduced and analyzed to solve a steady-state peridynamic model. We present a fast solution technique to accelerate non-square Toeplitz matrix-vector multiplications arising from piecewise-linear, piecewise-quadratic and piecewise-cubic Galerkin methods. This fast solution technique is ba… Show more

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Cited by 7 publications
(2 citation statements)
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“…In order to reduce the computational cost in PD computations, Wang and Tian [133] proposed a fast Galerkin method with efficient matrix assembly and storage for a PD model. Later, their proposed model was extended by Liu et al [134] to higherorder discretizations and hp adaptivity. Interesting studies were presented by Du et al [135,136] in which an adaptive FEM was developed for non-local diffusion equations and PD models by establishing a posteriori error analysis.…”
Section: Numerical Techniquesmentioning
confidence: 99%
“…In order to reduce the computational cost in PD computations, Wang and Tian [133] proposed a fast Galerkin method with efficient matrix assembly and storage for a PD model. Later, their proposed model was extended by Liu et al [134] to higherorder discretizations and hp adaptivity. Interesting studies were presented by Du et al [135,136] in which an adaptive FEM was developed for non-local diffusion equations and PD models by establishing a posteriori error analysis.…”
Section: Numerical Techniquesmentioning
confidence: 99%
“…Application of continuous and discontinuous Galerkin finite element methods to PD has been explored in [62] and validated against 1D peridynamics exact solutions. In [63] a fast and cost-efficient Galerkin method developed in [64] has been extended and improved for 1D linearized PD static problems providing hp-adaptivity, reducing computational efforts and memory usage. In [65] the implementation of a coupled PD-FEM approach in commercial software ABAQUS® has been performed, employing mesh coupling techniques developed in [66][67][68], with good results, whereas, recently, in [69] a PD-FEM coupled approach has been carried out with the commercial software ANSYS® for fatigue prediction in materials.…”
Section: Introductionmentioning
confidence: 99%