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Assessing the reliability of fast Fourier transform-based crystal plasticity simulations of a polycrystalline material near a crack tip

Andrea Rovinelli , Henry Proudhon , Ricardo A Lebensohn , Michael Sangid
International Journal of Solids and Structures, 2019, ⟨10.1016/j.ijsolstr.2019.02.024⟩
Journal articles hal-02355872v1

A General Probabilistic Framework Combining Experiments and Simulations to Identify the Small Crack Driving Force

Andrea Rovinelli , Michael D. Sangid , Ricardo A. Lebensohn , Wolfgang Ludwig , Yoann Guilhem , et al.
TMS 2017 Conference, Feb 2017, San Diego, United States
Conference papers hal-01580015v1

Microstructurally-short crack growth driving force identification: combining DCT, PCT, crystal plasticity simulation and machine learning technique

Andrea Rovinelli , Michael D. Sangid , Ricardo A. Lebensohn , Wolfgang Ludwig , Yoann Guilhem , et al.
3rd International Congress on 3D Materials Science (3DMS 2016), Jul 2017, St. Charles, United States
Conference papers hal-02116315v1
Image document

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

Andrea Rovinelli , Michael Sangid , Henry Proudhon , Wolfgang Ludwig
npj Computational Materials, 2018, 4 (1), 10 p. ⟨10.1038/s41524-018-0094-7⟩
Journal articles hal-01869114v1
Image document

Predicting the 3D fatigue crack growth rate of short cracks using multimodal data via Bayesian network: in-situ experiments and crystal plasticity simulations

Andrea Rovinelli , Michael Sangid , Henry Proudhon , Yoann Guilhem , Ricardo A. Lebensohn , et al.
Journal of the Mechanics and Physics of Solids, 2018, 115, pp.208-229. ⟨10.1016/j.jmps.2018.03.007⟩
Journal articles hal-01729179v1

Combining Experiments and Models via a Bayesian Network Approach to Predict Short Fatigue Crack Growth

Andrea Rovinelli , Michael D. Sangid , Yoann Guilhem , Henry Proudhon , Ricardo Lebensohn , et al.
TMS 2018 Conference, Mar 2018, Phoenix, United States
Conference papers hal-01738278v1

Microstructurally-Short Crack Growth Driving Force Identification: Combining DCT, PCT, Crystal Plasticity Simulations and Machine Learning Technique

Andrea Rovinelli , Michael D. Sangid , Ricardo A. Lebensohn , Wolfgang Ludwig , Yoann Guilhem , et al.
TMS 2016 Conference, Feb 2016, Nashville, United States
Conference papers hal-01580016v1