Composite specimens under fatigue and impact loading conditions
datasetposted on 03.04.2020 by Nikolaos Eleftheroglou, D. (Dimitrios) Zarouchas, R. (Rinze) Benedictus
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Open-hole specimens were subjected to constant amplitude fatigue loading up to failure while in-situ impact and manufacturing imperfections were used so as to demonstrate unexpected phenomena. Acoustic emission and digital image correlation techniques were employed in order to collect condition monitoring data which were used for the training and testing processes.Eight specimens were used for the training process, and they were subjected only to fatigue loading. Four specimens were used for testing the proposed adaptive model. Three of them were subjected to fatigue and in-situ impact, and created a left, a right outlier and an inlier performer respectively to the training specimens. The last one was subjected just to fatigue loading but created one more left outlier case since it had a manufacturing imperfection.