@article {627,
	title = {Multiscale modeling for bioresources and bioproducts},
	journal = {Innovative Food Science \& Emerging Technologies},
	volume = {46},
	year = {2018},
	month = {Avr-2018},
	pages = {41 - 53},
	abstract = {<p>Designing and processing complex matter and materials are key objectives of bioresource and bioproduct research. Modeling approaches targeting such systems have to account for their two main sources of complexity: their intrinsic multi-scale nature; and the variability and heterogeneity inherent to all living systems. Here we provide insight into methods developed at the Food \&amp; Bioproduct Engineering division (CEPIA) of the French National Institute of Agricultural Research (INRA). This brief survey focuses on innovative research lines that tackle complexity by mobilizing different approaches with complementary objectives. On one hand cognitive approaches aim to uncover the basic mechanisms and laws underlying the emerging collective properties and macroscopic behavior of soft-matter and granular systems, using numerical and experimental methods borrowed from physics and mechanics. The corresponding case studies are dedicated to the structuring and phase behavior of biopolymers, powders and granular materials, and to the evolution of these structures caused by external constraints. On the other hand machine learning approaches can deal with process optimizations and outcome predictions by extracting useful information and correlations from huge datasets built from experiments at different length scales and in heterogeneous conditions. These predictive methods are illustrated in the context of cheese ripening, grape maturity prediction and bacterial production.</p>
},
	issn = {14668564},
	doi = {10.1016/j.ifset.2017.09.015},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1466856417302230},
	author = {Barnabe, M. and Blanc, Nicolas and Chabin, T. and Jean-Yves Delenne and Duri, A. and Frank, Xavier and Hugouvieux, V. and Lutton, E. and Mabille, F. and Saeid Nezamabadi and Perrot, N. and Farhang Radja{\"\i} and Ruiz, T. and Tonda, A.}
}
@article {597,
	title = {Peridynamics simulation of the comminution of particles containing microcraks},
	journal = {EPJ Web of Conferences},
	volume = {140},
	year = {2017},
	month = {Jun-30-2017},
	pages = {Article Number 07018},
	abstract = {<p>In this study, we rely on a \&rsquo;bond-based\&rsquo; peridynamic approach to investigate the strength and failure of 2D particles containing a collection of 1D microcracks. The mechanical tests were performed on disks under diametral compression. In an extensive parametric study, the distribution of microcracks was varied for different particle sizes. The evolution of yield stress with diameter and the probability of failure in terms of Weibull distributions are investigated in detail. Finally, by means of a floodfill algorithm, we analyze the variation of the mean fragment size as a function of the density of defects.</p>
},
	doi = {10.1051/epjconf/201714007018},
	url = {http://www.epj-conferences.org/10.1051/epjconf/201714007018},
	author = {Blanc, Nicolas and Frank, Xavier and Mayer-Laigle, Claire and Farhang Radja{\"\i} and Jean-Yves Delenne},
	editor = {Saeid Nezamabadi and Luding, S. and Jean-Yves Delenne}
}
