DIC Course Lecture 3
Lecture 3: Digital twin for material identification and model validation (duration:1h00)
This session summarizes and reiterates on the import aspects of the following on-line provided courses:
- Lecture 6: Material Identification
- Lecture 9: Digital Twin
Objectives
- Get the trainee familiar with the basic concepts of the virtual fields method
- Understand how full-field measurements impact the uncertainty on identified properties
- Get the trainee familiar with synthetic image deformation and how this helps to validate numerical models
Contents
- Why combine full-field techniques with material identification: a material testing 2.0 framework
- How does an inverse method work
- Introduction of the principle of virtual work
- How to select virtual fields
- Case study: orthotropic foam
- The identification simulator: quantifying systematic and random errors
- Pitfalls in model validation by DIC
- The alignment problem
- The location issue
- Which regularization parameters to select in order to validate my model?
- Principles of synthetic image generation
- Model validation: a stereo perspective
Competencies
- The trainee has basic knowledge on the application of the virtual fields method.
- Feeling on how test geometry, DIC settings and hardware equipment might influence the identification process
- The trainee has basic knowledge on possible pitfalls in model validation and how to interpret the model-measurement different regularization works.
