Johann Guilleminot

发表

Approximate Solutions of Lagrange Multipliers for Information-Theoretic Random Field Models

Brian Staber, Johann Guilleminot, J. Guilleminot, 2015, SIAM/ASA J. Uncertain. Quantification.

Topology optimization under topologically dependent material uncertainties

Alireza Asadpoure, M. Tootkaboni, Johann Guilleminot, 2019 .

Stochastic multiscale modeling and inverse identification of complex heterogeneous materials

Christian Soize, Johann Guilleminot, 2015 .

On the robustness of variational multiscale error estimators for the forward propagation of uncertainty

Johann Guilleminot, Guglielmo Scovazzi, Oriol Colomés, 2018, Computer Methods in Applied Mechanics and Engineering.

Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases

Christian Soize, Johann Guilleminot, Thinh-Tien Le, 2013 .

On the construction of multiscale surrogates for design optimization of acoustical materials

Johann Guilleminot, Camille Perrot, Van Hai Trinh, 2017 .

Itô SDE-based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification

Christian Soize, Johann Guilleminot, Christian Soize, 2014, SIAM J. Sci. Comput..

VALIDATION OF A PROBABILISTIC MODEL FOR MESOSCALE ELASTICITY TENSOR OF RANDOM POLYCRYSTALS

Pedro Peralta, Johann Guilleminot, Arash Noshadravan, 2013 .

Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis

Christian Soize, Haoran Wang, Johann Guilleminot, 2019, Computer Methods in Applied Mechanics and Engineering.

Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media

Christian Soize, Johann Guilleminot, Christian Soize, 2013, Multiscale Model. Simul..

Stochastic Modeling and identification of material parameters on structures produced by additive manufacturing

Johann Guilleminot, Shanshan Chu, Cambre Kelly, 2021, Computer Methods in Applied Mechanics and Engineering.

Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries.

Johann Guilleminot, Hao Zhang, Luis J Gomez, 2021, Computer methods in applied mechanics and engineering.

Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties

Brian Staber, Johann Guilleminot, J. Guilleminot, 2015 .

A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures

Christian Soize, Roger Ghanem, Johann Guilleminot, 2011 .

A phase-field model of fracture with frictionless contact and random fracture properties: Application to thin-film fracture and soil desiccation

Johann Guilleminot, John E. Dolbow, Tianchen Hu, 2020 .

Stochastic multiscale analysis in hydrodynamic lubrication: STOCHASTIC MULTISCALE ANALYSIS IN HYDRODYNAMIC LUBRICATION

Johann Guilleminot, A. Waseem, İlker Temizer, 2017 .

Stochastic modeling and generation of random fields of elasticity tensors: A unified information-theoretic approach

Brian Staber, Johann Guilleminot, J. Guilleminot, 2017 .

Mesoscale probabilistic models for the elasticity tensor of fiber reinforced composites: Experimental identification and numerical aspects

Christian Soize, Johann Guilleminot, Djimedo Kondo, 2009 .

Probabilistic modeling of apparent tensors in elastostatics: A MaxEnt approach under material symmetry and stochastic boundedness constraints

Christian Soize, Johann Guilleminot, Christian Soize, 2012, Probabilistic Engineering Mechanics.

Multiscale modelling of the composite reinforced foam core of a 3D sandwich structure

Johann Guilleminot, Christophe Binetruy, Patricia Krawczak, 2008 .

Stochastic multiscale modeling of crack propagation in random heterogeneous media

Julien Yvonnet, Michel Bornert, Johann Guilleminot, 2019, International Journal for Numerical Methods in Engineering.

Generalized stochastic approach for constitutive equation in linear elasticity: a random matrix model

Christian Soize, Johann Guilleminot, Christian Soize, 2011, International Journal for Numerical Methods in Engineering.

A stochastic model for elasticity tensors with uncertain material symmetries

Christian Soize, Johann Guilleminot, Christian Soize, 2010 .

Stochastic modeling of mesoscopic elasticity random field

Karam Sab, Johann Guilleminot, Sébastien Brisard, 2016 .

Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites

Christian Soize, John G. Michopoulos, Athanasios Iliopoulos, 2019, Computer Methods in Applied Mechanics and Engineering.

Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case

Brian Staber, Johann Guilleminot, J. Guilleminot, 2017 .

Stochastic modeling of anisotropy in multiscale analysis of heterogeneous materials: A comprehensive overview on random matrix approaches

Christian Soize, Johann Guilleminot, Christian Soize, 2012 .

Non‐Gaussian positive‐definite matrix‐valued random fields with constrained eigenvalues: Application to random elasticity tensors with uncertain material symmetries

Christian Soize, Johann Guilleminot, Christian Soize, 2011 .