2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2018
DOI: 10.2514/6.2018-0651
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A Peridynamics-FEM Approach for Crack Path Prediction in Fiber-Reinforced Composites

Abstract: Peridynamics (PD) theory provides a means to investigate crack propagation behavior in solids, without the need for re-meshing the domain or other special treatments necessitated by conventional FEM approaches. As such, it has been increasing applied for modeling failure in different applications. In this work, we investigate crack propagation behavior in fiberreinforced composite (FRC) structures using a Peridynamics approach that builds on finite element method (FEM) solution kernels. The PD bonds representa… Show more

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Cited by 4 publications
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“…Peridynamics (PD) [1] has been used to solve a wide range of engineering problems since its introduction, and particularly, it is increasingly used to study the behaviour of composite materials [23][24][25][26][27][28][29][30][31][32]. When modelling composite materials with a complex microstructure resulting from manufacturing processes and oftentimes random distribution of constituent particles [33], it is a common practise to replace highly heterogeneous properties with effective material properties to avoid the costly computational requirement of numerical simulation that will directly resolve information from all relevant scales for the entire computational domain.…”
Section: Introductionmentioning
confidence: 99%
“…Peridynamics (PD) [1] has been used to solve a wide range of engineering problems since its introduction, and particularly, it is increasingly used to study the behaviour of composite materials [23][24][25][26][27][28][29][30][31][32]. When modelling composite materials with a complex microstructure resulting from manufacturing processes and oftentimes random distribution of constituent particles [33], it is a common practise to replace highly heterogeneous properties with effective material properties to avoid the costly computational requirement of numerical simulation that will directly resolve information from all relevant scales for the entire computational domain.…”
Section: Introductionmentioning
confidence: 99%