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Filtern nach: Type Work Entfernen Zwang Type: Work Stichwort Digital image correlation Entfernen Zwang Stichwort: Digital image correlation Herausgeber Elsevier Entfernen Zwang Herausgeber: Elsevier Fach Engineering and Applied Science Entfernen Zwang Fach: Engineering and Applied Science

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  • 1. Mesoscale shock structure in particulate composites

    Beschreibung:
    Multiscale experiments in heterogeneous materials and the knowledge of their physics under shock compression are limited. This study examines the multiscale shock response of particulate composites comprised of soda-lime glass particles in a PMMA matrix using full-field high speed digital image correlation (DIC) for the first time. Normal plate impact experiments, and complementary numerical simulations, are conducted at stresses ranging from to elucidate the mesoscale mechanisms responsible for the distinct shock structure observed in particulate composites. The particle velocity from the macroscopic measurement at continuum scale shows a relatively smooth velocity profile, with shock thickness decreasing with an increase in shock stress, and the composite exhibits strain rate scaling as the second power of the shock stress. In contrast, the mesoscopic response was highly heterogeneous, which led to a rough shock front and the formation of a train of weak shocks traveling at different velocities. Additionally, the normal shock was seen to diffuse the momentum in the transverse direction, affecting the shock rise and the rounding-off observed at the continuum scale measurements. The numerical simulations indicate that the reflections at the interfaces, wave scattering, and interference of these reflected waves are the primary mechanisms for the observed rough shock fronts.
    Stichwort:
    Shock structure, Shock compression, Composite, Plate impact, Digital image correlation, and Meso-scale
    Fach:
    Engineering and Applied Science
    Schöpfer:
    Lawlor, Barry , Ravindran, Suraj , Gandhi, Vatsa , and Ravichandran, Guruswami
    Mitwirkender:
    Jio Institute
    Owner:
    n.sakthivel@jioinstitute.edu.in
    Herausgeber:
    Elsevier
    Ort:
    United States
    Sprache:
    English
    Datum hochgeladen:
    21-03-2023
    Datum geändert:
    21-03-2023
    Datum erstellt:
    01-02-2023
    Rights Statement Tesim:
    In Copyright
    License Tesim:
    All rights reserved
    Resource Type:
    Article
    Identifikator:
    10.1016/j.jmps.2023.105239