Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations.
Hamed BolandiXuyang LiTalal SalemVishnu Naresh BoddetiNizar LajnefPublished in: Adv. Eng. Softw. (2022)
Keyphrases
- deep learning
- stress distribution
- finite element analysis
- unsupervised learning
- machine learning
- unsupervised feature learning
- finite element model
- weakly supervised
- von mises
- material properties
- mental models
- finite element
- information extraction
- viewpoint
- mechanical properties
- artificial neural networks
- object recognition