How can we move more quickly from mechanical testing to a material model that can be used in numerical simulation?

On 25 June, MATandSIM and Simvia invite you to discover an integrated approach that directly links experimentation and simulation to identify material behaviour laws.

The aim is simple: to reduce the time and effort required to calibrate a material model from experimental data.

During this webinar, we will present a platform that enables the use of mechanical test results and fields derived from digital image correlation (DIC), followed by the automatic initiation of the calculations and inverse analyses required to identify material parameters using code_aster.

We will also demonstrate how to ensure continuity between experimental data, the identification of constitutive laws, and their use in numerical simulation models via MFront.

Why take part?

During this webinar, you will learn about:

• The use of measurement fields derived from digital image correlation (DIC) to enhance the identification of material behaviour laws.
• Methods for structuring and managing experimental and material data.
• An inverse analysis approach based on code_aster to identify material parameters.
• The integration of material behaviour laws into simulation models via MFront.
• Strategies for accelerating material qualification whilst improving the reliability of numerical models.

Program

MATandSIM

Presentation of the automated testing machine, analysis of results obtained from digital image correlation (DIC), and management of material databases, along with the associated challenges.

Simvia

Presentation of the inverse analysis method using code_aster, determination of material parameters and assessment of the accuracy of the results obtained, followed by the integration of constitutive laws into code_aster via MFront.

Who is this webinar aimed at?

This webinar is aimed at:

• Computational and numerical simulation engineers
• Materials engineers
• R&D managers
• Researchers and PhD students
• Code_aster users
• Experts in experimental testing and numerical image correlation

Practical information

• Online webinar in French
• 25 June 2026
• 2.00 pm – 3.00 pm