Assessment of Weak Segments in Cantilever Beams training dataset

Published: 5 May 2023| Version 1 | DOI: 10.17632/mg9ktdw7hf.1
Contributor:
Cristian Tufisi

Description

This dataset is generated by considering 20 segments of 50 mm along a cantilever beam of 1000 mm in length. Iteratively damage scenarios have been generated by altering Young's modulus for different segments. With an original relation, we generate as input data the Relative Frequency Shift for training a neural network having as output the altered sectors and also the severity of the alteration.

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Institutions

Universitatea Babes-Bolyai Institutul de Cercetari Interdisciplinare in Bio-Nano-stiinte

Categories

Artificial Intelligence, Damage Mechanics, Damage Classification

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