Toward 4D mechanical correlation

Autor: Ludovic Chamoin, Jan Neggers, Stéphane Roux, Florent Mathieu, François Hild, Florent Pled, Zvonimir Tomičević, Amine Bouterf, Hugo Leclerc
Přispěvatelé: Laboratoire de Mécanique et Technologie (LMT), École normale supérieure - Cachan (ENS Cachan)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Modélisation et Simulation Multi Echelle (MSME), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM), Department of Engineering Mechanics, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2016
Předmět:
Identification
Engineering
Discretization
Constitutive equation
Context (language use)
Digital volume correlation
02 engineering and technology
Integrated approaches
[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]
0203 mechanical engineering
Convergence (routing)
Sensitivity (control systems)
Tomography
Engineering (miscellaneous)
Image resolution
Simulation
business.industry
Applied Mathematics
Verification
021001 nanoscience & nanotechnology
Finite element method
[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]
Computer Science Applications
020303 mechanical engineering & transports
[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]
Modeling and Simulation
[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Mechanics of the structures [physics.class-ph]
0210 nano-technology
business
digital volume correlation
identification
integrated approaches
tomography
verification
Algorithm
Zdroj: Advanced Modeling and Simulation in Engineering Sciences
Advanced Modeling and Simulation in Engineering Sciences, SpringerOpen, 2016, 3 (1), pp.1-26. ⟨10.1186/s40323-016-0070-z⟩
Advanced Modeling and Simulation in Engineering Sciences, 2016, 3 (1), pp.1-26. ⟨10.1186/s40323-016-0070-z⟩
ISSN: 2213-7467
Popis: International audience; Background: The goal of the present study is to illustrate the full integration of sensor and imaging data into numerical procedures for the purpose ofidentification of constitutive laws and their validation. The feasibility of such approaches is proven in the context of in situ tests monitored by tomography.The bridging tool consists of spatiotemporal (i.e., 4D) analyses with dedicated (integrated) correlation algorithms.Method: A tensile test on nodular graphite cast iron sample is performed within a lab tomograph. The reconstructed volumes are registered via integrated digital volume correlation (DVC) that incorporates a finite element modeling of the test, thereby performing a mechanical integration in 4D registration of a series of 3D images. In the present case a non-intrusive procedure is developed in which the 4D sensitivity fields are obtained with a commercial finite element code, allowing for a large versatility in meshing and incorporation of complex constitutive laws. Convergence studies can thus be performed in which the quality of the discretization is controlled both for the simulation and the registration.Results: Incremental DVC analyses are carried out with the scans acquired during the in situ mechanical test. For DVC, the mesh size results from acompromise between measurement uncertainties and its spatial resolution. Conversely, a numerically good mesh may reveal too fine for the considered material microstructure. With the integrated framework proposed herein, 4D registrations can be performed and missing boundary conditions of the reference state as well as mechanical parameters of an elastoplastic constitutive law are determined in fair condition both for DVC and simulation.
Databáze: OpenAIRE
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