A dataset for machine learning research in the field of stress analyses of mechanical structures

Published: 25-07-2020| Version 2 | DOI: 10.17632/wzbzznk8z3.2
Contributor:
Jaroslav Matej

Description

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.