|
|
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
Journal articles
hal-02355872v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
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
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
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
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
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
Journal articles
hal-01869114v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
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 articles
hal-01729179v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
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
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
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
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|