Johann Guilleminot | Scholars@Duke

Johann Guilleminot
Assistant Professor of Civil and Environmental Engineering

Johann Guilleminot joined Duke on July 1, 2017, as an assistant professor of civil and environmental engineering.

Prior to that, he was an assistant professor in the Multiscale Modeling and Simulation Laboratory at Université Paris-Est in France, and held a visiting assistant professor position in the Duke Department of Civil and Environmental Engineering.

He earned an MS (2005) and PhD (2008) in Theoretical Mechanics from the University of Lille 1 – Science and Technology (France), and received his Habilitation (2014) in Mechanics from Université Paris-Est. Habilitation is the highest academic degree in France.

Dr. Guilleminot’s research focuses on uncertainty quantification, computational mechanics and materials science, as well as on topics at the interface between these fields. He is particularly interested in the multiscale analysis of linear/nonlinear heterogeneous materials (including biological and engineered ones), homogenization theory, statistical inverse problems and stochastic modeling with applications for computational science and engineering.

Current Research Interests

Computational mechanics, mechanics of heterogeneous materials, molecular dynamics simulations and atomistic-to-continuum coupling, stochastic solvers, statistical inverse problem and model validation, stochastic analysis, uncertainty quantification in science and engineering

Current Appointments & Affiliations

Assistant Professor of Civil and Environmental Engineering, Civil and Environmental Engineering, Pratt School of Engineering 2017
Assistant Professor in the Department of Mechanical Engineering and Materials Science, Mechanical Engineering and Materials Science, Pratt School of Engineering 2017

Contact Information

172 Hudson Hall, Box 90287, Durham, NC 27708
172 Hudson Hall, Box 90287, Durham, NC 27708
johann.guilleminot@duke.edu (919) 684-3537
https://guilleminot.pratt.duke.edu/

Background
Education, Training, & Certifications
- Ph.D., Lille University of Science and Technology (France) 2008
- M.S., Lille University of Science and Technology (France) 2005
Duke Appointment History
- Visiting Assistant Professor in the Department of Civil and Environmental Engineering, Civil and Environmental Engineering, Pratt School of Engineering 2016 - 2017
- Visiting Assistant Professor in the Department of Civil and Environmental Engineering, Civil and Environmental Engineering, Pratt School of Engineering 2016
Recognition
In the News
- NOV 7, 2017 Pratt School of Engineering
  
  Johann Guilleminot: Accounting for Variabilities That Matter
- OCT 11, 2016
  
  Accounting for Variabilities That Matter
Expertise
Subject Headings
Research
Selected Grants
Publications & Artistic Works
Selected Publications
- Academic Articles
  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - Guilleminot, J., A. Asadpoure, and M. Tootkaboni. “Topology optimization under topologically dependent material uncertainties.” Structural and Multidisciplinary Optimization, January 1, 2019. https://doi.org/10.1007/s00158-019-02247-1.
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  - 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 (January 1, 2019): 1325–44. https://doi.org/10.1002/nme.6093.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - Waseem, A., J. Guilleminot, and J. 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.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - 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.
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  - Baydoun, I., I. Savin, R. Cottereau, D. Clouteau, and J. Guilleminot. “Kinetic modeling of multiple scattering of elastic waves in heterogeneous anisotropic media.” Wave Motion 51, no. 8 (January 1, 2014): 1325–48. https://doi.org/10.1016/j.wavemoti.2014.08.001.
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  - Guilleminot, J., and C. Soize. “Itô SDE-based generator for a class of non-Gaussian vector-valued random fields in uncertainty quantification.” Siam Journal on Scientific Computing 36, no. 6 (January 1, 2014): A2763–86. https://doi.org/10.1137/130948586.
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  - Guilleminot, J., T. T. Le, and C. Soize. “Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases.” Acta Mechanica Sinica/Lixue Xuebao 29, no. 6 (December 1, 2013): 773–82. https://doi.org/10.1007/s10409-013-0101-7.
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  - Guilleminot, J., and C. Soize. “On the statistical dependence for the components of random elasticity tensors exhibiting material symmetry properties.” Journal of Elasticity 111, no. 2 (April 1, 2013): 109–30. https://doi.org/10.1007/s10659-012-9396-z.
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  - Guilleminot, J., and C. Soize. “Stochastic model and generator for random fields with symmetry properties: Application to the mesoscopic modeling of elastic random media.” Multiscale Modeling and Simulation 11, no. 3 (January 1, 2013): 840–70. https://doi.org/10.1137/120898346.
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  - Noshadravan, Arash, Roger Ghanem, Johann Guilleminot, Ikshwaku Atodaria, and Pedro Peralta. “VALIDATION OF A PROBABILISTIC MODEL FOR MESOSCALE ELASTICITY TENSOR OF RANDOM POLYCRYSTALS.” International Journal for Uncertainty Quantification 3, no. 1 (2013): 73–100. https://doi.org/10.1615/int.j.uncertaintyquantification.2012003901.
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  - Guilleminot, J., C. Soize, and R. G. Ghanem. “Stochastic representation for anisotropic permeability tensor random fields.” International Journal for Numerical and Analytical Methods in Geomechanics 36, no. 13 (September 1, 2012): 1592–1608. https://doi.org/10.1002/nag.1081.
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  - Guilleminot, J., and C. Soize. “Generalized stochastic approach for constitutive equation in linear elasticity: A random matrix model.” International Journal for Numerical Methods in Engineering 90, no. 5 (May 4, 2012): 613–35. https://doi.org/10.1002/nme.3338.
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  - Guilleminot, J., and C. Soize. “Stochastic modeling of anisotropy in multiscale analysis of heterogeneous materials: A comprehensive overview on random matrix approaches.” Mechanics of Materials 44 (January 1, 2012): 35–46. https://doi.org/10.1016/j.mechmat.2011.06.003.
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  - Guilleminot, J., and C. Soize. “Non-Gaussian positive-definite matrix-valued random fields with constrained eigenvalues: Application to random elasticity tensors with uncertain material symmetries.” International Journal for Numerical Methods in Engineering 88, no. 11 (December 16, 2011): 1128–51. https://doi.org/10.1002/nme.3212.
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  - Guilleminot, J., A. Noshadravan, C. Soize, and R. G. Ghanem. “A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures.” Computer Methods in Applied Mechanics and Engineering 200, no. 17–20 (April 1, 2011): 1637–48. https://doi.org/10.1016/j.cma.2011.01.016.
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  - Guilleminot, J., and C. Soize. “A stochastic model for elasticity tensors with uncertain material symmetries.” International Journal of Solids and Structures 47, no. 22–23 (November 1, 2010): 3121–30. https://doi.org/10.1016/j.ijsolstr.2010.07.013.
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  - Guilleminot, J., C. Soize, and D. Kondo. “Mesoscale probabilistic models for the elasticity tensor of fiber reinforced composites: Experimental identification and numerical aspects.” Mechanics of Materials 41, no. 12 (December 1, 2009): 1309–22. https://doi.org/10.1016/j.mechmat.2009.08.004.
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  - Schell, J. S. U., J. Guilleminot, C. Binetruy, and P. Krawczak. “Computational and experimental analysis of fusion bonding in thermoplastic composites: Influence of process parameters.” Journal of Materials Processing Technology 209, no. 11 (June 21, 2009): 5211–19. https://doi.org/10.1016/j.jmatprotec.2009.03.008.
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  - Guilleminot, J., C. Soize, D. Kondo, and C. Binetruy. “Theoretical framework and experimental procedure for modelling mesoscopic volume fraction stochastic fluctuations in fiber reinforced composites.” International Journal of Solids and Structures 45, no. 21 (October 15, 2008): 5567–83. https://doi.org/10.1016/j.ijsolstr.2008.06.002.
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  - Guilleminot, J., C. Soize, D. Kondo, and C. Binetruy. “Stochastic model identification of fibre-reinforced composites at the mesoscale.” Jec Composites Magazine 45, no. 45 (January 1, 2008): 73–74.
  - Guilleminot, J., C. Soize, D. Kondo, and C. Binetruy. “Stochastic model identification of fibre-reinforced composites at the mesoscale.” Jec Composites Magazine 45, no. 45 (January 1, 2008): 73–74.
  - Guilleminot, J., S. Comas-Cardona, D. Kondo, C. Binetruy, and P. Krawczak. “Multiscale modelling of the composite reinforced foam core of a 3D sandwich structure.” Composites Science and Technology 68, no. 7–8 (January 1, 2008): 1777–86. https://doi.org/10.1016/j.compscitech.2008.02.005.
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  - Guilleminot, J., D. Kondo, C. Binetruy, S. Panier, S. Hariri, and P. Krawczak. “A micromechanical analysis of a local failure criterion for particle-reinforced composites.” Composites Science and Technology 67, no. 11–12 (September 1, 2007): 2384–89. https://doi.org/10.1016/j.compscitech.2007.01.002.
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  - Robert, A., J. P. Grillot, J. Guilleminot, and M. Raabe. “Experimental and ultrastructural study of the control of ovulation and parturition in the tsetse fly Glossina fuscipes (Diptera).” Journal of Insect Physiology 30, no. 8 (January 1984): 671–84. https://doi.org/10.1016/0022-1910(84)90053-2.
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- Conference Papers
  - 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.
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  - 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.
  - Guilleminot, J., and C. Soize. “Generation of non-gaussian tensor-valued random fields using an isde-based algorithm.” In Safety, Reliability, Risk and Life Cycle Performance of Structures and Infrastructures Proceedings of the 11th International Conference on Structural Safety and Reliability, Icossar 2013, 2793–98, 2013.
  - Guilleminot, J., and C. Soize. “Prior representations of random fields for stochastic multiscale modeling.” In Procedia Iutam, 6:44–49, 2013. https://doi.org/10.1016/j.piutam.2013.01.005.
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  - Guilleminot, J., and C. Soize. “Probabilistic modeling of apparent tensors in elastostatics: A MaxEnt approach under material symmetry and stochastic boundedness constraints.” In Probabilistic Engineering Mechanics, 28:118–24, 2012. https://doi.org/10.1016/j.probengmech.2011.07.004.
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  - Guilleminot, J., C. Soize, D. Kondo, and C. Binétruy. “Stochastic modeling of the mesoscopic elasticity tensor random field for composite materials.” In Iccm International Conferences on Composite Materials, 2009.
  - Guilleminot, J., C. Soize, D. Kondo, and C. Binétruy. “Stochastic modeling of the mesoscopic elasticity tensor random field for composite materials.” In Iccm International Conferences on Composite Materials, 2009.
  - Guilleminot, J., M. Deléglise, C. Binétruy, and P. Krawczak. “Stochastic modeling of resin flow in fibrous media in liquid composite molding.” In Iccm International Conferences on Composite Materials, 2007.
  - Guilleminot, J., M. Deléglise, C. Binétruy, and P. Krawczak. “Stochastic modeling of resin flow in fibrous media in liquid composite molding.” In Iccm International Conferences on Composite Materials, 2007.
Teaching & Mentoring
Recent Courses

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Education, Training, & Certifications

Duke Appointment History

In the News

Subject Headings

Selected Grants

Selected Publications

Academic Articles

Conference Papers

Recent Courses