A dataset for machine learning research in the field of stress analyses of mechanical structures
Published: 25 July 2020| Version 2 | DOI: 10.17632/wzbzznk8z3.2
Contributor:
Jaroslav MatejDescription
The dataset is prepared and intended as a data source for development of a stress analysis method based on machine learning. It consists of finite element stress analyses of randomly generated mechanical structures. The dataset contains more than 270,794 pairs of stress analyses images (von Mises stress) of randomly generated 2D structures with predefined thickness and material properties. All the structures are fixed at their bottom edges and loaded with gravity force only. See PREVIEW directory with some examples. The zip file contains all the files in the dataset.
Files
Steps to reproduce
The data in the dataset were created in python using articles and software mentioned in references.
Institutions
Technicka Univerzita vo Zvolene
Categories
Artificial Intelligence, Mechanical Engineering, Artificial Neural Networks, Machine Learning, Finite Element Methods, Stress Analysis, Artificial Intelligence in Computer-Aided Design, Mechanical Structure, Deep Learning