Nonlocal damage modelling in clay/epoxy nanocomposites using a multiscale approach

Mohammad Silani, Hossein Talebi, Abdel Magid Hamouda, Timon Rabczuk

    Research output: Contribution to journalArticlepeer-review

    57 Citations (Scopus)

    Abstract

    This study proposed a concurrent multiscale method to model damage in clay/epoxy nanocomposites. The method uses a nonlocal damage formulation to regularize the damage model. The multiscale method used, is based on the Arlequin method which couples two overlapping scales using the Lagrange multipliers method. Since the method blends the energies of two scales in a so called "handshake domain", the spurious wave reflection from the coupling region is minimum. Hence the method is appropriate for the current dynamic problem. To show the suitability and accuracy of the proposed method, a clay/epoxy nanocomposite beam under dynamic loading is simulated using two different approaches: a full fine scale model and a multiscale model were employed. Also, a comparison between the results proves that the proposed nonlocal multiscale method can accurately predict the damage phenomena inside the clay/epoxy nanocomposites with minimal computational costs. The method presented here is also applicable to a range of related physical problems.

    Original languageEnglish
    Pages (from-to)18-23
    Number of pages6
    JournalJournal of Computational Science
    Volume15
    DOIs
    Publication statusPublished - 2016 Jul 1

    Bibliographical note

    Funding Information:
    The authors would like to acknowledge the support from DFG , Humboldt Foundation and Qatar National Research Fund (QNRF), through Grant No. NPRP 09-145-2-061 .

    Publisher Copyright:
    © 2015 Elsevier B.V.

    Copyright:
    Copyright 2016 Elsevier B.V., All rights reserved.

    Keywords

    • Arlequin method
    • Dynamic loading
    • Multiscale
    • Nanocomposites
    • Nonlocal damage

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science
    • Modelling and Simulation

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