What you will discover
1
An integrated Testing → Simulation approach
How to directly link experimentation and simulation to reduce the calibration time for a material model.
2
Utilizing Digital Image Correlation (DIC)
How to use measurement fields obtained from DIC to enhance and improve the reliability of behavior law identification.
3
Managing experimental and material data
Methods and best practices for structuring, centralizing, and effectively utilizing your material databases.
4
Inverse analysis with code_aster
A practical approach to automatically identify material parameters and evaluate the accuracy of the results obtained.
5
Integrating constitutive laws via MFront
How to ensure continuity between the identification of constitutive laws and their use in your numerical simulation models.
6
Strategies to accelerate material qualification
Actionable strategies to increase speed and reliability throughout the qualification process.
