Publications

Nguyen, C. T., J. Guilleminot, F. Detrez, V. Langlois, M. Bornert, A. Duval, and C. Perrot. “Micro-Macro Acoustic Modeling of Heterogeneous Foams with Nucleation Perturbation.” In SAE Technical Papers, 2020. https://doi.org/10.4271/2020-01-1526.

Hu, T., J. Guilleminot, and J. E. Dolbow. “A phase-field model of fracture with frictionless contact and random fracture properties: Application to thin-film fracture and soil desiccation.” Computer Methods in Applied Mechanics and Engineering 368 (August 15, 2020). https://doi.org/10.1016/j.cma.2020.113106.

Guilleminot, J., and J. E. Dolbow. “Data-driven enhancement of fracture paths in random composites.” Mechanics Research Communications 103 (January 1, 2020). https://doi.org/10.1016/j.mechrescom.2019.103443.

Guilleminot, J. “Modeling non-Gaussian random fields of material properties in multiscale mechanics of materials.” In Uncertainty Quantification in Multiscale Materials Modeling, 385–420, 2020. https://doi.org/10.1016/B978-0-08-102941-1.00012-2.

Hun, D. A., J. Guilleminot, J. Yvonnet, and M. Bornert. “Stochastic multiscale modeling of crack propagation in random heterogeneous media.” International Journal for Numerical Methods in Engineering 119, no. 13 (September 28, 2019): 1325–44. https://doi.org/10.1002/nme.6093.

Guilleminot, J., A. Asadpoure, and M. Tootkaboni. “Topology optimization under topologically dependent material uncertainties.” Structural and Multidisciplinary Optimization 60, no. 3 (September 15, 2019): 1283–87. https://doi.org/10.1007/s00158-019-02247-1.

Wang, H., J. Guilleminot, and C. Soize. “Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis.” Computer Methods in Applied Mechanics and Engineering 354 (September 1, 2019): 37–55. https://doi.org/10.1016/j.cma.2019.05.020.

Staber, B., J. Guilleminot, C. Soize, J. Michopoulos, and A. Iliopoulos. “Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites.” Computer Methods in Applied Mechanics and Engineering 347 (April 15, 2019): 425–44. https://doi.org/10.1016/j.cma.2018.12.036.

Chu, S., and J. Guilleminot. “Stochastic multiscale modeling with random fields of material properties defined on nonconvex domains.” Mechanics Research Communications 97 (April 1, 2019): 39–45. https://doi.org/10.1016/j.mechrescom.2019.01.008.

Trinh, V. H., V. Langlois, J. Guilleminot, C. Perrot, Y. Khidas, and O. Pitois. “Tuning membrane content of sound absorbing cellular foams: Fabrication, experimental evidence and multiscale numerical simulations.” Materials and Design 162 (January 15, 2019): 345–61. https://doi.org/10.1016/j.matdes.2018.11.023.

Colomés, O., G. Scovazzi, and J. Guilleminot. “On the robustness of variational multiscale error estimators for the forward propagation of uncertainty.” Computer Methods in Applied Mechanics and Engineering 342 (December 1, 2018): 384–413. https://doi.org/10.1016/j.cma.2018.07.041.

Tran, V. P., S. Brisard, J. Guilleminot, and K. Sab. “Mori–Tanaka estimates of the effective elastic properties of stress-gradient composites.” International Journal of Solids and Structures 146 (August 1, 2018): 55–68. https://doi.org/10.1016/j.ijsolstr.2018.03.020.

He, M., C. Perrot, J. Guilleminot, P. Leroy, and G. Jacqus. “Multiscale prediction of acoustic properties for glass wools: Computational study and experimental validation.” In The Journal of the Acoustical Society of America, 143:3283, 2018. https://doi.org/10.1121/1.5040479.

Staber, B., and J. Guilleminot. “A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics.” Computer Methods in Applied Mechanics and Engineering 333 (May 1, 2018): 94–113. https://doi.org/10.1016/j.cma.2018.01.001.

Trinh, V. H., J. Guilleminot, and C. Perrot. “On the construction of multiscale surrogates for design optimization of acoustical materials.” Acta Acustica United with Acustica 104, no. 1 (January 1, 2018): 1–4. https://doi.org/10.3813/AAA.919139.

Waseem, A., J. Guilleminot, and Temizer. “Stochastic multiscale analysis in hydrodynamic lubrication.” International Journal for Numerical Methods in Engineering 112, no. 8 (November 23, 2017): 1070–93. https://doi.org/10.1002/nme.5546.

Staber, B., and J. Guilleminot. “Stochastic modeling and generation of random fields of elasticity tensors: A unified information-theoretic approach.” Comptes Rendus Mecanique 345, no. 6 (June 1, 2017): 399–416. https://doi.org/10.1016/j.crme.2017.05.001.

Staber, B., and J. Guilleminot. “Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case.” ZAMM Zeitschrift Fur Angewandte Mathematik Und Mechanik 97, no. 3 (March 1, 2017): 273–95. https://doi.org/10.1002/zamm.201500255.

Staber, B., and J. Guilleminot. “Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: A probabilistic perspective.” Computer Methods in Applied Mechanics and Engineering 313 (January 1, 2017): 1–27. https://doi.org/10.1016/j.cma.2016.09.019.

Staber, B., and J. Guilleminot. “Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability.” Journal of the Mechanical Behavior of Biomedical Materials 65 (January 2017): 743–52. https://doi.org/10.1016/j.jmbbm.2016.09.022.

Le, T. T., J. Guilleminot, and C. Soize. “Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite.” Computer Methods in Applied Mechanics and Engineering 303 (May 1, 2016): 430–49. https://doi.org/10.1016/j.cma.2015.10.006.

Tran, V. P., J. Guilleminot, S. Brisard, and K. Sab. “Stochastic modeling of mesoscopic elasticity random field.” Mechanics of Materials 93 (February 1, 2016): 1–12. https://doi.org/10.1016/j.mechmat.2015.10.007.

Staber, B., and J. Guilleminot. “Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties.” Comptes Rendus Mecanique 343, no. 9 (September 1, 2015): 503–14. https://doi.org/10.1016/j.crme.2015.07.008.

Soize, C., C. Desceliers, J. Guilleminot, T. T. Le, M. T. Nguyen, G. Perrin, J. M. Allain, H. Gharbi, D. Duhamel, and C. Funfschilling. “Stochastic representations and statistical inverse identification for uncertainty quantification in computational mechanics.” In Uncecomp 2015 1st Eccomas Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, 1–26, 2015. https://doi.org/10.7712/120215.4249.527.

Staber, B., and J. Guilleminot. “Approximate solutions of lagrange multipliers for information-theoretic random field models.” SIAM Asa Journal on Uncertainty Quantification 3, no. 1 (January 1, 2015): 599–621. https://doi.org/10.1137/14099574X.