In situ characterization of trans-laminar fracture toughness using X-ray Computed Tomography

Sun, Xiaoyang; Takeda, Shin-ichi; Wisnom, Michael R.; Xu, Xiaodong

Abstract

The change in the critical strain energy release rate as damage evolves, known as the R-curve, is of crucial importance to the understanding of fracture behaviour. The examination of damage evolution ahead of the crack tip in order to determine accurately the crack increment is key for the determination of the R-curve. Conventional in situ methods such as optical measurements only examine the specimen surfaces. X-ray Computed Tomography (CT) offers satisfactory image quality, but conventional CT scanning requires the removal of the specimens from the test machine. If no dye penetrant is used, the specimens can be re-loaded, but some important information will be missing such as the early load drops corresponding to damage initiation. If dye penetrant is used, the specimens can no longer be re-tested. In contrast, in situ CT scanning can capture the detailed damage states ply-by-ply while the specimen is loaded and diminish the need for multiple specimens. In situ characterization of trans-laminar fracture toughness of composites using CT has not been attempted in the past. It has been proven successful in this research, and shown that a partial R-curve can be constructed with a single Extended Single-Edge-notch Tension (ESET) specimen.

• Journal Article Type: Article
• Acceptance Date: Jun 26, 2020
• Online Publication Date: Jul 10, 2020
• Publication Date: Oct 1, 2020
• Deposit Date: Feb 15, 2021
• Publicly Available Date: Jul 11, 2022
• Journal: Composites Communications
• Print ISSN: 2452-2139
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 21
• Article Number: 100408
• DOI: https://doi.org/10.1016/j.coco.2020.100408
• Public URL: https://uwe-repository.worktribe.com/output/7094427
• Additional Information: This article is maintained by: Elsevier; Article Title: In situ characterization of trans-laminar fracture toughness using X-ray Computed Tomography; Journal Title: Composites Communications; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.coco.2020.100408; Content Type: article; Copyright: © 2020 Elsevier Ltd. All rights reserved.