Numerical modeling of the tensile strength of a biological granular aggregate: Effect of the particle size distribution
2017
Heinze, Karsta | Frank, Xavier | Lullien-Pellerin, Valerie | George, Matthieu | Radjai, Farhang | Delenne, Jean-Yves | Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) | Laboratoire Charles Coulomb (L2C) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) | Multiscale Material Science for Energy and Environment (MSE 2) ; Massachusetts Institute of Technology (MIT)-Centre National de la Recherche Scientifique (CNRS) | Physique et Mécanique des Milieux Divisés (PMMD) ; Laboratoire de Mécanique et Génie Civil (LMGC) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Wheat grains can be considered as a natural cemented granular material. They are milled under highforces to produce food products such as flour. The major part of the grain is the so-called starchy endosperm.It contains stiff starch granules, which show a multi-modal size distribution, and a softer protein matrix thatsurrounds the granules. Experimental milling studies and numerical simulations are going hand in hand tobetter understand the fragmentation behavior of this biological material and to improve milling performance.We present a numerical study of the effect of granule size distribution on the strength of such a cementedgranular material. Samples of bi-modal starch granule size distribution were created and submitted to uniaxialtension, using a peridynamics method. We show that, when compared to the effects of starch-protein interfaceadhesion and voids, the granule size distribution has a limited effect on the samples’ yield stress.
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