Learning Physics-Consistent Material Behavior from Dynamic Displacements

Understand

Accurately modeling the mechanical behavior of materials is crucial for numerous engineering applications.

• The quality of these models depends directly on the accuracy of the constitutive law that defines the stress-strain relation.
• However, discovering these constitutive material laws remains a significant challenge, in particular when only material deformation data is available.
• To address this challenge, unsupervised machine learning methods have been proposed to learn the constitutive law from deformation data.