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Open AccessArticle

DECM: A Discrete Element for Multiscale Modeling of Composite Materials Using the Cell Method

Department of Civil, Environmental and Materials Engineering—DICAM, Alma Mater Studiorum Università di Bologna, 40136 Bologna, Italy
Materials 2020, 13(4), 880; https://doi.org/10.3390/ma13040880
Received: 2 December 2019 / Revised: 7 February 2020 / Accepted: 11 February 2020 / Published: 16 February 2020
(This article belongs to the Special Issue Discrete Element Modeling of Materials)
This paper presents a new numerical method for multiscale modeling of composite materials. The new numerical model, called DECM, consists of a DEM (Discrete Element Method) approach of the Cell Method (CM) and combines the main features of both the DEM and the CM. In particular, it offers the same degree of detail as the CM, on the microscale, and manages the discrete elements individually such as the DEM—allowing finite displacements and rotations—on the macroscale. Moreover, the DECM is able to activate crack propagation until complete detachment and automatically recognizes new contacts. Unlike other DEM approaches for modeling failure mechanisms in continuous media, the DECM does not require prior knowledge of the failure position. Furthermore, the DECM solves the problems in the space domain directly. Therefore, it does not require any dynamic relaxation techniques to obtain the static solution. For the sake of example, the paper shows the results offered by the DECM for axial and shear loading of a composite two-dimensional domain with periodic round inclusions. The paper also offers some insights into how the inclusions modify the stress field in composite continua. View Full-Text
Keywords: discrete element method; cell method; multiscale modeling; periodic composite materials; nonlocality discrete element method; cell method; multiscale modeling; periodic composite materials; nonlocality
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Ferretti, E. DECM: A Discrete Element for Multiscale Modeling of Composite Materials Using the Cell Method. Materials 2020, 13, 880.

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