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Three-dimensional numerical modeling of ductile fracture mechanisms at the microscale

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Three-dimensional numerical modeling of ductile

fracture mechanisms at the microscale

Modesar Shakoor, Marc Bernacki, Pierre-Olivier Bouchard

To cite this version:

Modesar Shakoor, Marc Bernacki, Pierre-Olivier Bouchard. Three-dimensional numerical modeling of ductile fracture mechanisms at the microscale. 4th ECCOMAS Young Investigator Conference - YIC 2017, Sep 2017, Milano, Italy. �hal-01626736�

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YIC 2017 IV ECCOMAS YOUNG INVESTIGATOR CONFERENCE 13-15 September 2017, Milano, Italy

Three-dimensional numerical modeling of ductile fracture

mechanisms at the microscale

Modesar Shakoor∗,†, Marc Bernacki† and Pierre-Olivier Bouchard†

Department of Mechanical Engineering, Northwestern University

Evanston, IL 60208, USA

e-mail: modesar.shakoor@northwestern.edu

MINES ParisTech, PSL Research University, CEMEF-Centre de mise en forme des

mat´eriaux, CNRS UMR 7635

CS 10207 rue Claude Daunesse, 06904 Sophia Antipolis Cedex, France

e-mail: marc.bernacki@mines-paristech.fr; pierre-olivier.bouchard@mines-paristech.fr KEYWORDS: Ductile fracture; damage; micromechanics; remeshing; interfaces; level-set.

ABSTRACT

The present work aims at a better understanding and modeling of ductile fracture during the forming of metallic materials. These materials are formed using series of thermo-mechanical loads where many parameters such as loading type and direction vary, and predictive numerical tools are necessary to understand the occurrence of failure and opti-mize production costs.

Ductile fracture in metallic materials is the result of voids nucleation, growth, and coa-lescence mechanisms, leading to a progressive loss of load carrying capacity, until failure [1]. In this work, a micromechanical approach is developed in order to conduct realistic Finite Element (FE) simulations of ductile fracture at the microscale, accounting explic-itly for the microstructure of the studied materials. Such simulations require a robust methodology to discretize the microstructure, and then update this discretization during its deformation and progressive failure. Level-Set (LS) functions are used to represent all interfaces [2], and ease the modeling of void linkage events, that are difficult to handle with standard FE methods. This implicit representation of interfaces raises multiple is-sues. First, discontinuous material behavior at interfaces remains to be modeled. Second, large plastic strains can only be reached using several remeshing operations, which induce an important diffusion of the volume and morphology of the microstructure when the latter is carried only by LS functions. A mesh generation method is developed to mesh in-terfaces with a conforming FE discretization, hence explicitly representing discontinuities in material behavior. The quality and accuracy of this discretization is maintained during deformation thanks to a mesh adaption algorithm enhanced with a volume conservation constraint [3]. Additionally, real microstructures typically feature a complex morphology that requires a very fine discretization. Using a local error estimator based on LS func-tions, the discretization is automatically refined where necessary [4]. This error estimator relies on the geometric properties of LS functions, which are maintained during deforma-tion thanks to a new direct LS reinitializadeforma-tion technique [5]. Finally, a computadeforma-tional

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fracture mechanics approach and stress-based fracture criteria are proposed to model the nucleation of microscopic voids.

The interest of these numerical developments and micromechanical models is first demon-strated at the scale of representative volume elements with statistically generated mi-crostructures. Then, simulations of real microstructures with measured boundary condi-tions are addressed. Three-dimensional X-ray images are meshed and displacement fields measured by image correlation are applied at the boundaries of the FE domain in order to conduct simulations in conditions that are as close as possible to what is observed during in-situ experiments [6]. Such massive 3D simulations can be achieved thanks to the effi-ciency of all numerical developments performed in this work, and their implementation in a distributed computing framework. Error measurements accounting for the volume and shape of each void prove the validity of these results, and the interest of this numerical validation framework with respect to standard micromechanical approaches [7].

REFERENCES

[1] A. Pineau, A.A. Benzerga, T. Pardoen. Failure of metals I: Brittle and ductile fracture. Acta Materialia, 107:424-483, 2016.

[2] S. Osher, J.A. Sethian. Fronts propagating with curvature-dependent speed: Algo-rithms based on Hamilton-Jacobi formulations. Journal of Computational Physics, 79(1):12-49, 1988.

[3] M. Shakoor, B. Scholtes, P.-O. Bouchard, M. Bernacki. An efficient and parallel level set reinitialization method Application to micromechanics and microstructural evolutions. Applied Mathematical Modelling, 39(23-24):7291-7302, 2015.

[4] D.-L. Quan, T. Toulorge, E. Marchandise, J.-F. Remacle, G. Bricteux. Anisotropic mesh adaptation with optimal convergence for finite elements using embedded geome-tries. Computer Methods in Applied Mechanics and Engineering, 268:65-81, 2014. [5] M. Shakoor, P.-O. Bouchard, M. Bernacki. An adaptive level-set method with

en-hanced volume conservation for simulations in multiphase domains. International Journal for Numerical Methods in Engineering, 109(4):555-576, 2017.

[6] A. Buljac, M. Shakoor, J. Neggers, M. Bernacki, P.-O. Bouchard, L. Helfen, T.F. Mor-geneyer, F. Hild. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. Computational Mechanics, 59(3):419-441, 2017.

[7] M. Shakoor, A. Buljac, J. Neggers, F. Hild, T.F. Morgeneyer, L. Helfen, M. Bernacki, P.-O. Bouchard. On the choice of boundary conditions for micromechanical simula-tions based on 3D imaging. International Journal of Solids and Structures, 112:83-96, 2017.

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