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Dive into the research topics where Frédéric Perales is active.

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Featured researches published by Frédéric Perales.


European Journal of Control | 2010

A NonSmooth Contact Dynamics-based multi-domain solver

Frédéric Perales; Frédéric Dubois; Yann Monerie; Bruno Piar; Laurent Stainier

This paper presents a micromechanical modeling strategy for complex multibody interactions and the associated numerical framework. The strategy rests on a periodic multibody method in the framework of the NonSmooth Contact Dynamics approach of Moreau (1988) extended to classical domain decomposition problems. Many complex interactions can be taken into account: interactions between discrete elements, between discrete or rigid bodies, (quasistatic) contact or impact, friction or adhesion, decohesion (cracking), etc. The associated numerical platform, Xper, is composed of three independent libraries with Object Oriented Programming. The ability of this computational approach is illustrated by two examples of fracture in heterogeneous materials.


SIAM/ASA Journal on Uncertainty Quantification | 2014

Bayesian Adaptive Reconstruction of Profile Optima and Optimizers

David Ginsbourger; Jean Baccou; Clément Chevalier; Frédéric Perales; Nicolas Garland; Yann Monerie

Given a function depending both on decision parameters and nuisance variables, we consider the issue of estimating and quantifying uncertainty on profile optima and/or optimal points as functions of the nuisance variables. The proposed methods are based on interpolations of the objective function constructed from a finite set of evaluations. Here the functions of interest are reconstructed relying on a kriging model but also using Gaussian random field conditional simulations that allow a quantification of uncertainties in the Bayesian framework. Besides this, we introduce a variant of the expected improvement criterion, which proves efficient for adaptively learning the set of profile optima and optimizers. The results are illustrated with a toy example and through a physics case study on the optimal packing of polydisperse frictionless spheres.


Physical Review E | 2017

Viscoinertial regime of immersed granular flows

Lhassan Amarsid; Jean-Yves Delenne; Patrick Mutabaruka; Yann Monerie; Frédéric Perales; Farhang Radjai

By means of extensive coupled molecular dynamics-lattice Boltzmann simulations, accounting for grain dynamics and subparticle resolution of the fluid phase, we analyze steady inertial granular flows sheared by a viscous fluid. We show that, for a broad range of system parameters (shear rate, confining stress, fluid viscosity, and relative fluid-grain density), the frictional strength and packing fraction can be described by a modified inertial number incorporating the fluid effect. In a dual viscous description, the effective viscosity diverges as the inverse square of the difference between the packing fraction and its jamming value, as observed in experiments. We also find that the fabric and force anisotropies extracted from the contact network are well described by the modified inertial number, thus providing clear evidence for the role of these key structural parameters in dense suspensions.


POWDERS AND GRAINS 2013: Proceedings of the 7th International Conference on Micromechanics of Granular Media | 2013

Tumbling sandpiles in a fluid

Farhang Radjai; Vincent Topin; Frédéric Perales; Yann Monerie

By means of contact dynamics simulations interfaced with computational fluid dynamics, we analyze the effect of a suspending fluid on the dynamics of collapse and spread of a granular column. We find that the runout distance increases as a power law with the aspect ratio of the column and, for a given aspect ratio, it may be the same in the grain-inertial and fluid-inertial regimes but with considerably longer duration in the latter case. We show that, in both viscous and fluid-inertial regimes, this behavior results from compensation between two effects of the fluid: 1) reduction of the kinetic energy during collapse and 2) enhancement of the flow by lubrication during spread.


Physical Review Letters | 2012

Collapse dynamics and runout of dense granular materials in a fluid

Vincent Topin; Yann Monerie; Frédéric Perales; Farhang Radjai


Journal of Non-newtonian Fluid Mechanics | 2011

Micro-rheology of dense particulate flows: Application to immersed avalanches

Vincent Topin; Frédéric Dubois; Yann Monerie; Frédéric Perales; Anthony Wachs


3rd M.I.T. Conference on Computational Fluid and Solid Mechanics | 2005

Numerical simulation of dynamical fracture in heterogeneous materials

Frédéric Perales; Yann Monerie; Frédéric Dubois; Laurent Stainier


International Conference on Micromechanics of Granular Media (Powders & Grains) | 2017

Scaling behavior of immersed granular flows

Lhassan Amarsid; Jean-Yves Delenne; Patrick Mutabaruka; Yann Monerie; Frédéric Perales; Farhang Radjai


23eme Congres Francais de Mecanique, 28 aout - 1er septembre 2017, Lille, France (FR), AFM | 2017

Planification adaptative d'experiences numeriques par paquets en contexte non stationnaire pour une etude de fissuration mecanique

Sébastien Marmin; Jean Baccou; Frédéric Perales; David Ginsbourger; Jacques Liandrat


Computer Methods in Applied Mechanics and Engineering | 2016

A DF-IBM/NSCD coupling framework to simulate immersed particle interactions

Talib Dbouk; Frédéric Perales; Fabrice Babik; Rémy Mozul

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Yann Monerie

Institut de radioprotection et de sûreté nucléaire

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Vincent Topin

University of Montpellier

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Frédéric Dubois

Centre national de la recherche scientifique

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Frédéric Dubois

Centre national de la recherche scientifique

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Jean Baccou

Institut de radioprotection et de sûreté nucléaire

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Anthony Wachs

University of British Columbia

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Lhassan Amarsid

Institut de radioprotection et de sûreté nucléaire

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