Unsupervised bivariate data clustering for damage assessment of carbon fiber composite laminates

• Main Authors: May, Z., Alam, M.K., Mahmud, M.S., Rahman, N.A.
• Format: Article
• Published: Public Library of Science 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096058745&doi=10.1371%2fjournal.pone.0242022&partnerID=40&md5=d74869d4002df302c3b87a9cba66b47e; http://eprints.utp.edu.my/29830/

Damage assessment is a key element in structural health monitoring of various industrial applications to understand well and predict the response of the material. The big uncertainty in carbon fiber composite materials response is because of variability in the initiation and propagation of damage. D...