Johann Guilleminot
Assistant Professor in the Department 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 in the Department 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, Thomas Lord Department of 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
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johann.guilleminot@duke.edu
(919) 684-3537
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https://guilleminot.pratt.duke.edu/
- Background
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Education, Training, & Certifications
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Previous Appointments & Affiliations
- Assistant Professor of Civil and Environmental Engineering, Civil and Environmental Engineering, Pratt School of Engineering 2017 - 2021
- Assistant Professor in the Department of Mechanical Engineering and Materials Science, Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering 2017 - 2020
- 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
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In the News
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OCT 11, 2016 Pratt School of Engineering
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- Expertise
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Subject Headings
- Research
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Selected Grants
- NRT-HDR: Harnessing AI for Autonomous Material Design awarded by National Science Foundation 2020 - 2025
- CAREER: Harnessing the Revolution in Material Processing: A Computational Stochastic Framework for Uncertainty Quantification on Optimized Geometrics awarded by National Science Foundation 2020 - 2025
- Stochastic Constitutive Laws in Nonlinear Mechanics: Application to the Multiscale Modeling of Arterial Walls for Robust Vascular Grafting awarded by National Science Foundation 2017 - 2021
- Accurate and reliable computational dosimetry and targeting for transcranial magnetic stimulation awarded by National Institutes of Health 2019 - 2020
- Development of Software combining the Shifted Boundary Method and non-Gaussian Fractional Stochastic Modeling for the Solution of Coupled Partial Differential Equations Related to Additive Manufacturing Modeling and Simulation Applications awarded by Naval Research Laboratory 2019 - 2020
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Nguyen, C. T., V. Langlois, J. Guilleminot, F. Detrez, A. Duval, M. Bornert, P. Aimedieu, and C. Perrot. “Polydisperse solid foams: Multiscale modeling and simulations of elasto-acoustic properties including thin membrane effects.” International Journal of Solids and Structures 249 (August 1, 2022). https://doi.org/10.1016/j.ijsolstr.2022.111684.Full Text
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Chen, P., and J. Guilleminot. “Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation.” Computer Methods in Applied Mechanics and Engineering 394 (May 1, 2022). https://doi.org/10.1016/j.cma.2022.114897.Full Text
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Trinh, Van Hai, Johann Guilleminot, Camille Perrot, and Viet Dung Vu. “Learning acoustic responses from experiments: A multiscale-informed transfer learning approach.” The Journal of the Acoustical Society of America 151, no. 4 (April 2022): 2587. https://doi.org/10.1121/10.0010187.Full Text
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Wang, H., J. Guilleminot, B. W. Schafer, and M. Tootkaboni. “Stochastic analysis of geometrically imperfect thin cylindrical shells using topology-aware uncertainty models.” Computer Methods in Applied Mechanics and Engineering 393 (April 1, 2022). https://doi.org/10.1016/j.cma.2022.114780.Full Text
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Zhang, Hao, Luis J. Gomez, and Johann Guilleminot. “Uncertainty quantification of TMS simulations considering MRI segmentation errors.” Journal of Neural Engineering 19, no. 2 (March 2022). https://doi.org/10.1088/1741-2552/ac5586.Full Text
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Langlois, V., C. T. Nguyen, F. Detrez, J. Guilleminot, and C. Perrot. “Permeability of polydisperse solid foams.” Physical Review. E 105, no. 1–2 (January 2022): 015101. https://doi.org/10.1103/physreve.105.015101.Full Text
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Chu, S., J. Guilleminot, C. Kelly, B. Abar, and K. Gall. “Stochastic Modeling and identification of material parameters on structures produced by additive manufacturing.” Computer Methods in Applied Mechanics and Engineering 387 (December 15, 2021). https://doi.org/10.1016/j.cma.2021.114166.Full Text
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Hun, D. A., J. Yvonnet, J. Guilleminot, A. Dadda, A. M. Tang, and M. Bornert. “Desiccation cracking of heterogeneous clayey soil: Experiments, modeling and simulations.” Engineering Fracture Mechanics 258 (December 1, 2021). https://doi.org/10.1016/j.engfracmech.2021.108065.Full Text
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Trinh, V. H., J. Guilleminot, and C. Perrot. “On the sensitivity of the design of composite sound absorbing structures.” Materials and Design 210 (November 15, 2021). https://doi.org/10.1016/j.matdes.2021.110058.Full Text
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Zhang, H., J. Guilleminot, and L. J. Gomez. “Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries.” Computer Methods in Applied Mechanics and Engineering 385 (November 1, 2021). https://doi.org/10.1016/j.cma.2021.114014.Full Text
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Mihai, L Angela, Haoran Wang, Johann Guilleminot, and Alain Goriely. “Nematic liquid crystalline elastomers are aeolotropic materials.” Proceedings. Mathematical, Physical, and Engineering Sciences 477, no. 2253 (September 2021): 20210259. https://doi.org/10.1098/rspa.2021.0259.Full Text
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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.Full Text
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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.Full Text
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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 (September 28, 2019): 1325–44. https://doi.org/10.1002/nme.6093.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.Full Text
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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.
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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.Full Text
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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.
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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.Full Text
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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.Full Text
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Conference Papers
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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.Full Text
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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.Full Text
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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. https://doi.org/10.7712/120215.4249.527.Full Text
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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.
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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.Full Text
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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.Full Text
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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.
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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.
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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.
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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.
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- Teaching & Mentoring
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Recent Courses
- CEE 394: Research Independent Study in Civil and Environmental Engineering 2022
- CEE 530: Introduction to the Finite Element Method 2022
- CEE 780: Internship 2022
- ME 524: Introduction to the Finite Element Method 2022
- ME 758S: Curricular Practical Training 2022
- MENG 550: Master of Engineering Internship/Project 2022
- MENG 551: Master of Engineering Internship/Project Assessment 2022
- CEE 421L: Matrix Structural Analysis 2021
- CEE 690: Advanced Topics in Civil and Environmental Engineering 2021
- CEE 702: Graduate Colloquium 2021
- CEE 530: Introduction to the Finite Element Method 2020
- CEE 690: Advanced Topics in Civil and Environmental Engineering 2020
- ME 524: Introduction to the Finite Element Method 2020
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