Experimental analysis of crack initiation and propagation in dynamically shear-loaded aluminium specimens using the digital image correlation method

Litrop, Aljaž (author), Zobec, Peter (author), Šeruga, Domen (author), Nagode, Marko (author), Klemenc, Jernej (author)

The present paper investigates crack growth in specially designed specimens of 6061 aluminium alloy sheets subjected to dynamic shear loads. The specimens were tested with a low-frequency alternating shear load until complete fracture. The main objective of this work was to observe the crack initiation and growth under alternating shear load using the Digital Image Correlation (DIC) method. Each time the peak amplitude was reached, a photograph of the shear area on the specimen surface was taken to investigate crack grow. The length of the crack in every load cycle was then estimated by an algorithm using the DIC strain fields as input data. The DIC results were compared to FE. The observation of the shear strain component is presented as the most appropriate method to predict the location of the crack even before its initiation.

• Language: English
• Keywords: fatigue, shear, crack propagation, digital image correlation method
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Author Accepted Manuscript
• Publication date: 31.05.2022
• Year: 2022
• Number of pages: 11 str.
• Numbering: Vol. 139, art. 106495
• PID: 20.500.12556/RUL-137291
• UDC: 531.391:620.178.3
• ISSN on article: 1350-6307
• DOI: 10.1016/j.engfailanal.2022.106495
• COBISS.SI-ID: 111079427
• Publication date in RUL: 09.06.2022

Record is a part of a journal

• Title: Engineering failure analysis
• Shortened title: Eng fail. anal.
• Publisher: Elsevier
• ISSN: 1350-6307
• COBISS.SI-ID: 15354117

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
• Licensing start date: 31.05.2022
• Applies to: Available online

Secondary language

• Language: Slovenian
• Keywords: utrujanje, strig, rast razpoke, metoda digitalne korelacije slik

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0182
• Name: Razvojna vrednotenja

• Funder: ARRS - Slovenian Research Agency
• Funding programme: Young researchers
• Project number: ARRS-MR-LP-2020/544