Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

On the use of acoustic emission and digital image correlation for welded joints damage characterization

Sshrama, Kadhum, Al-Jumaili, Safaa Kh, Pullin, Rhys, Clarke, Alastair and Evans, Samuel 2019. On the use of acoustic emission and digital image correlation for welded joints damage characterization. Journal of Applied and Computational Mechanics 5 (2) , pp. 381-389. 10.22055/JACM.2018.25941.1301

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (2MB) | Preview

Abstract

A series of tests have been conducted to investigate fatigue damage characterization in corroded welded steel plates using structural health monitoring (SHM) techniques. Acoustic Emission (AE) is a non-destructive testing (NDT) technique with potential applications for locating and monitoring fatigue cracks in service. In the present work, AE is implemented to characterize damage during crack evolution. It is considered to be based on the relationship between RA value (the rise time divided by the amplitude) and the average frequency of the recorded data. Results are confirmed by visual observation of the crack geometry at the end of the test and by Digital image correlation (DIC) measurements. It is seen that the obtained results allow a better understanding of such damage mechanisms, and enabling an early warning against final failure. Thus, ensuring the safety and integrity of the structures is feasible.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TJ Mechanical engineering and machinery
Publisher: Shahid Chamran University of Ahvaz
ISSN: 2383-4536
Date of First Compliant Deposit: 10 July 2019
Date of Acceptance: 7 October 2018
Last Modified: 10 Jul 2019 11:15
URI: http://orca.cf.ac.uk/id/eprint/124093

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics