SImulation des Matériaux et des Structures


The objective of the SIMS (SImulation des Matériaux et des Structures) cluster is to have good representations of the behavior and the breaking of materials in computation codes. There are therefore studies with a strong digital component including software development, and research conducted in collaboration with other teams, to compare the models developed with experimental results. Collaborations are done with many french or foreign teams.

This activity is based on the functional group that develops and maintains the computer resources of the Centre des Matériaux, in particular parallel computers.





Research themes




This theme highlights the interaction between different research axes such as : acquisition of 2D, 3D and 4D images, measurement of thermomechanical fields, image analysis and meshing from experimental images or derived from random models, the intensive computation, the reduction of the models and the processing of the massive data whether they are of experimental origin or generated by simulations. It concerns the development of numerical methods for data processing. For example, the reduction of non-linear models has largely been inspired by methods developed for image processing. In the hyper-reduction, a mechanical model defined on a reduced mesh makes it possible to have an estimate of a complete stress field.

The tensorial representation of data is the appropriate formal framework to facilitate the comparison of these approaches. In the future, new collaboration protocols will be developed in the context of digital mechanics. This will concern the technological means implemented (means of acquisition, data storage, calculation, etc.), the numerical methods developed, but also the working methods including the training of technicians and engineers.




The elasto-visco-plastic constitutive laws of materials constitute today an arsenal applicable to the different scales of the engineer: industrial components of transport and energy where the efficiency of the formulation and the programming is at the first plan until the detailed description of the elements of matter, polycrystals and composites with complex morphologies.

The multiscale approaches allow to build a hierarchy of models starting from the crystalline plasticity for metals to the multi-mechanism models of macroscropic plasticity. Validation of this corpus of laws involves confronting 2D, 3D and 4D field measurements : kinematic, temperature, elastic deformation and crystalline orientation or polymer chains.

The mechanics of generalized continuous media are used to describe the effects of scales on the viscoplasticity of metals and polymers : effects of grain sizes, precipitates, pores, etc. Finally, the method of phase fields coupled to mechanics aims to simulate the evolution of microstructures (phase changes, interface migrations and grain boundaries, oxidation, etc.) under mechanical stress.





Excessive monotonic or cyclic deformation and the aging of materials and structures lead to the development of instabilities ranging from necking to localization in shear bands or of Portevin - Le Chatelier, to finally lead to rupture. The detection of these modes and the simulation of post-bifurcation and crack propagation states require regularization methods based on the mechanics of generalized continuous media (micromorphic approach of plasticity and gradient damage).




The transition from location to crack initiation and propagation remains a major difficulty, even if the recent advances validated by the confrontation with 2D and 3D kinematic field measurements show the relevance of the laws of behavior and damage developed. These modes of instability are also present within the microstructure of materials. The question of transmitting microscopic instabilities to macroscopic localization is largely open today. Understanding these mechanisms will optimize the architecture of the materials.






Latest publications


+ de publications


Samuel Forest, Kais Ammar, Benoit Appolaire, Victor De Rancourt, Stephan Wulfinghoff. Generalized continua and phase-field models : application to crystal plasticity ed. S. Mesarovic, S. Forest, H. Zbib. Mesoscale models : from micro-physics to macro-interpretation, CISM International centre for mechanical sciences, pp.299-344, 2019, 〈10.1007/978-3-319-94186-8_6〉

Alexandre Pichavant, Élise Provost, Walter Fürst, Jean-François Hochepied. Determination of the temperature dependence of Titanium(IV) hydrolysis and complexation constants in aqueous sulfuric or chlorhydric solutions Journal of Chemical Thermodynamics, Elsevier, 2019, 131, pp.184-191. ⟨10.1016/j.jct.2018.11.001⟩

Victor-Manuel Trejo-Navas, Ante Buljac, François Hild, Thilo Morgeneyer, Lukas Helfen, Marc Bernacki, Pierre-Olivier Bouchard. A comparative study of image segmentation methods for micromechanical simulations of ductile damage Computational Materials Science, Elsevier, 2019, 159, pp.43-65. 〈10.1016/j.commatsci.2018.11.039〉

Joseph Marae Djouda, Yazid Madi, Fabrice Gaslain, Jérémie Beal, Jérôme Crépin, Guillaume Montay, Léa Le Joncour, Naman Recho, Benoît Panicaud, Thomas Maurer. Investigation of nanoscale strains at the austenitic stainless steel 316L surface : Coupling between nanogauges gratings and EBSD technique during in situ tensile test Materials Science and Engineering: A, Elsevier, 2019, 740-741, pp.315-335. ⟨10.1016/j.msea.2018.10.059⟩

Sinisa Dj. Mesarovic, Samuel Forest, Hussein Zbib. Mesoscale models : from micro-physics to macro-interpretation Sinisa Mesarovic, Samuel Forest, Hussein Zbib. Springer, 2019, 978-3-319-94185-1

Anna Ask, Samuel Forest, Benoit Appolaire, Kais Ammar. Cosserat crystal plasticity with dislocation driven grain boundary migration Journal of Micromechanics and Molecular Physics, 2018, 〈10.1142/S242491301840009X〉

Franck N'Guyen, Selim M. Barhli, Daniel Pino Muñoz, David Ryckelynck. Computer vision with error estimation for reduced order modeling of macroscopic mechanical tests Complexity, Wiley, 2018, 2018, 10 p. 〈10.1155/2018/3791543〉

Andrea Rovinelli, Michael Sangid, Henry Proudhon, Wolfgang Ludwig. Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials npj Computational Materials, Springer Nature, 2018, 4 (1), 10 p. 〈10.1038/s41524-018-0094-7〉

Astrid Perlade, Annie Antoni, Rémy Besson, Daniel Caillard, Michael Callahan, Jonathan Emo, Anne-Françoise Gourgues, Philippe Maugis, Aurore Mestrallet, Ludovic Thuinet, Quentin Tonizzo, Jean-Hubert Schmitt. Development of 3rd generation Medium Mn duplex steels for automotive applications Materials Science and Technology, Maney Publishing, 2018, pp.1-16. ⟨10.1080/02670836.2018.1549303⟩

A Venerosy, H. A. Girard, S. Saada, Mohamed Sennour, I Stenger, M. Mermoux, Jean-Charles Arnault. Colloidal suspensions of monodisperse diamond core-shells Diamond and Related Materials, Elsevier, 2018, 89, pp.122-131. 〈10.1016/j.diamond.2018.08.004〉


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