Team
SIMS - Simulation des Matériaux et des Structures
Biography
Franck N’Guyen is a researcher specializing in numerical methods applied to materials mechanics and the morphological analysis of complex structures. His work focuses on the development of advanced techniques for geometric modeling and numerical simulation, particularly through the use of constrained Delaunay triangulation (CDT) applied to 2D and 3D images with high morphological complexity. His research also addresses the numerical homogenization of the mechanical and thermal properties of composite materials, integrating experimental, theoretical, and computational approaches to characterize heterogeneous microstructures, such as biocomposites reinforced with natural particles or filled polymers. A significant portion of her work focuses on the analysis of defects and their impact on mechanical behavior, combining 3D imaging tools (tomography, microscopy) with model reduction and machine learning methods to optimize predictions of material lifespan and strength under thermomechanical stresses.
Publication(s)
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2025
Unbiased Finite Element Mesh Delaunay Constrained Triangulation Applied to 2D Images with High Morphological Complexity Using Mathematical Morphology Tools Part 1: Binary Images DOI : 10.3390/computation13020052
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2025
Unbiased Finite Element Mesh Delaunay Constrained Triangulation Applied to 2D Images with High Morphological Complexity Using Mathematical Morphology Tools Part 2: Labeled Images DOI : 10.3390/computation13020057
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2023
Efficient boundary surface reconstruction from multi-label volumetric data with mathematical morphology DOI : 10.1016/j.cag.2023.10.003
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2023
Effect of particles morphology on the effective elastic properties of bio–composites reinforced by seashells: Numerical investigations DOI : 10.1177/00219983221138951
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2022
Mechanical Fatigue Testing Under Thermal Gradient and Manufacturing Variabilities in Nickel-Based Superalloy Parts with Air-Cooling Holes DOI : 10.1007/s11340-022-00868-0
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2022
On effective thermal properties of wood particles reinforced HDPE composites DOI : 10.1007/s00226-022-01365-2
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2022
Multimodal data augmentation for digital twining assisted by artificial intelligence in mechanics of materials DOI : 10.3389/fmats.2022.971816
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2021
Mechanical dissimilarity of defects in welded joints via Grassmann manifold and machine learning DOI : 10.5802/CRMECA.51
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2020
Advanced quantification of the carbide spacing and correlation with dimple size in a high-strength medium carbon martensitic steel DOI : 10.1016/j.matchar.2020.110531
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2020
Mechanical properties of poly–propylene reinforced with Argan nut shell aggregates: Computational strategy based microstructures DOI : 10.1016/j.mechmat.2020.103348
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2018
Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests DOI : 10.1155/2018/3791543
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2017
Effect of the Cold-Sprayed Aluminum Coating-Substrate Interface Morphology on Bond Strength for Aircraft Repair Application DOI : 10.1007/s11666-017-0548-3
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2017
Effective thermal and mechanical properties of randomly oriented short and long fiber composites DOI : 10.1016/j.mechmat.2017.02.002
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2016
Comparison of voiding mechanisms in semi-crystalline polyamide 6 during tensile and creep tests DOI : 10.1016/j.polymertesting.2015.11.019
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2016
Three dimensional quantification of anisotropic void evolution in deformed semi-crystalline polyamide 6 DOI : 10.1016/j.ijplas.2016.04.001
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2014
A methodology to model the complex morphology of rough interfaces DOI : 10.1016/j.ijsolstr.2014.04.015
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2012
Impact of material processing and deformation on cell morphology and mechanical behavior of polyurethane and nickel foams DOI : 10.1016/j.ijsolstr.2012.05.026
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2012
Effect of multiaxial stress state on morphology and spatial distribution of voids in deformed semicrystalline polymer assessed by X-ray tomography DOI : 10.1021/ma3005247
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2012
Three-dimensional investigation of thermal barrier coatings by synchrotron-radiation computed laminography DOI : 10.1016/j.scriptamat.2011.12.021
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2012
Advanced image processing of Ag-based composite powders for the modeling of the cold spray process
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2011
Virtual improvement of ice cream properties by computational homogenization of microstructures DOI : 10.1016/j.mechrescom.2011.01.005
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2011
A multiscale microstructure model of carbon black distribution in rubber DOI : 10.1111/j.1365-2818.2010.03428.x
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2010
Damage observation in a high-manganese austenitic TWIP steel by synchrotron radiation computed tomography DOI : 10.1016/j.scriptamat.2010.08.042
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2009
Comparison of experimental results and finite element simulation of strain localization scheme under cyclic loading DOI : 10.1016/j.commatsci.2009.04.037
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2008
Rubber with carbon black fillers: Parameters identification of a multiscale nanostructure model
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2008
FE modelling of bainitic steels using crystal plasticity DOI : 10.1080/14786430802566380
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2007
Ensemble averaging stress-strain fields in polycrystalline aggregates with a constrained surface microstructure-part 1: Anisotropic elastic behaviour DOI : 10.1080/14786430601009509
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2006
Apparent and effective physical properties of heterogeneous materials: Representativity of samples of two materials from food industry DOI : 10.1016/j.cma.2005.07.022
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2005
3D quantitative image analysis of open-cell nickel foams under tension and compression loading using X-ray microtomography DOI : 10.1080/14786430412331331916
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2005
Investigation on the influence of cell shape anisotropy on the mechanical performance of closed cell aluminium foams using micro-computed tomography DOI : 10.1007/s10853-005-4994-9
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2004
Study of the porosity in plasma-sprayed alumina through an innovative 3-dimensional simulation of the coating build-up
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2004
Deformation and Damage Mechanisms of Zinc Coatings on Hot-Dip Galvanized Steel Sheets: Part II, Damage Modes DOI : 10.1007/s11661-004-0008-9
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2001
Microstructure and damage initiation in duplex stainless steels DOI : 10.1016/S0921-5093(01)01196-0
Teaching
Digital Engineering of Complex Systems (IDSC) track
Over the past decade, artificial intelligence (AI) has profoundly transformed the industrial world by revolutionizing the ways in which systems are designed, optimized, and operated. One of the most striking aspects of this evolution lies in the numerical modeling of complex systems. Traditionally based on methods with a strong physical or multiphysical focus, this field now benefits from advances in artificial intelligence, particularly through machine learning and deep learning algorithms. The Digital Engineering of Complex Systems track at Mines Paris aims to provide students with a solid, multidisciplinary foundation in AI, enabling them to gain a deep understanding of its applications and apply them to real-world industrial challenges. The disciplines studied in the specialization are: machine learning and its applications in engineering, computer vision, and high-performance computing. The specialization’s curriculum is structured around three weeks of coursework, supplemented by two weeks of a Data Challenge and a one-week field trip. More information is available on the track’s webpage: https://bruno-figliuzzi.github.io/Option/
PhD supervision
- 2024 Crystal plasticity modeling of the dwell fatigue behavior of the TA6V titanium alloy ABLA Widad
- 2019 Ductile failure of a random porous medium: Numerical approach and application to weld defects CADET Clément