2016
DOI: 10.1016/j.cma.2015.12.024
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A morphing approach to couple state-based peridynamics with classical continuum mechanics

Abstract: Please cite this article as: F. Han, G. Lubineau, Y. Azdoud, A. Askari, A morphing approach to couple state-based peridynamics with classical continuum mechanics, Comput. Methods Appl. Mech. Engrg. (2015), http://dx.doi. org/10.1016/j.cma.2015.12.024 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof bef… Show more

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Cited by 137 publications
(53 citation statements)
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“…Our results and analysis support a combined local-nonlocal approach to the numerical solution of these problems. This type of numerical approach is the focus of many recent investigations, see other works, [39][40][41][42][43][44][45][46] where the use of nonlocal models and local models is applied to different subdomains of the computational domain. These approaches are promising in that they reduce the computational cost of the numerical simulation.…”
Section: Resultsmentioning
confidence: 99%
“…Our results and analysis support a combined local-nonlocal approach to the numerical solution of these problems. This type of numerical approach is the focus of many recent investigations, see other works, [39][40][41][42][43][44][45][46] where the use of nonlocal models and local models is applied to different subdomains of the computational domain. These approaches are promising in that they reduce the computational cost of the numerical simulation.…”
Section: Resultsmentioning
confidence: 99%
“…It can also be considered as a length-scale parameter which gives peridynamics a "non-local" character. The size of the horizon changes depending on the nature of the problem [Bobaru, Yang, Alves et al (2009); Freimanis and Paeglitis (2017); Han, Lubineau, Yan et al (2016)]. For three-dimensional analysis the most common are cubic lattices with uniform spacing in all directions, and the horizon may be chosen according to convergence, since for any value of δ, the parameters in the peridynamic material model can be chosen to match the measured Young's modulus of the material, and physical behaviour can be accurately represented.…”
Section: Parameters Determination 31 Peridynamic Parameters For Icementioning
confidence: 99%
“…Furthermore, Seleson et al present the force‐based coupling method using nonlocal weights composed of blending functions; they also generalize this coupling approach to couple PD and higher‐order gradient models of any order. Moreover, the morphing method is proposed by Lubineau et al to construct a single unified balance equation between BPD and CCM models; after that, this morphing‐based coupling method has been successfully used to study the failure simulation of materials and is further developed by Han et al to couple the OSPD and CCM models. Apart from the coupling between PD and CCM, Tong and Li propose the multiscale coupling of molecular dynamics and PD, Fan and Li propose a hybrid model of PD and smoothed particle hydrodynamics to simulate soil fragmentation, Shojaei et al propose a coupling of PD with a meshless method, and Han et al propose an adaptive coupling between damage mechanics and PD to objectively simulate all the steps that lead to material failure.…”
Section: Introductionmentioning
confidence: 99%
“…Theoretically speaking, the coupling of PD and CCM should be achieved with simplicity and effectivity, for which there are three reasons . First, both PD and CCM are continuum theories, and the derivations of the constitutive parameters are based on the strain energy density . Second, nonlocal PD models can be generally connected to local CCM counterparts through a limiting process; in other words, the PD models for an elastic material can reproduce the classical local models as the length scale goes to zero, which is mathematically addressed by Silling and Lehoucq .…”
Section: Introductionmentioning
confidence: 99%
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