- Tytuł:
- NN‐mCRE: A modified constitutive relation error framework for unsupervised learning of nonlinear state laws with physics‐augmented neural networks.
- Autorzy:
- Temat:
-
DIGITAL image correlation
STRUCTURAL healthmonitoring
STATE laws
DISPLACEMENT (Mechanics)
SYNTHETIC fibers
STRAINS & stresses (Mechanics)
MACHINE learning - Źródło:
- International Journal for Numerical Methods in Engineering; 4/30/2024, Vol. 125 Issue 8, p1-25, 25p
Czasopismo naukowe