Training data for cantilever beam with transverse cracks
Published: 30 December 2021| Version 2 | DOI: 10.17632/db94d5ccr6.2
Contributors:
Cristian Tufisi, Description
This dataset contains the input and target data generated by using a mathematical relation to predict frequency changes for cantilever beams affected by transverse cracks. The input data is as follows: - the column represents the first eight relative frequency shift values for out-of-plane bending vibration modes. - each column represents the damage location and severity, after the hole beam is scanned, we produce cracks also at the fixed end to simulate imperfect boundary conditions.
Files
Steps to reproduce
To be used for a neural network described in 10.17632/yx82k4vdvg.2
Institutions
Universitatea Babes-Bolyai
Categories
Artificial Neural Networks