Measurement of resistance curves in the longitudinal failure of composites using digital image correlation

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Catalanotti, G (Author) Other; Camanho, PP (Author) FEUP; Xavier, J (Author) Other; Davila, CG (Author) Other; Marques, AT (Author) FEUP

Journal

Title: Composites Science and Technology

Vol. 70

Pages: 1986-1993

ISSN: 0266-3538

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 138 Citations

ISI Web of Science

Scopus - 164 Citations

COMPENDEX

INSPEC

Scientific classification

FOS: Engineering and technology > Materials engineering

CORDIS: Technological sciences > Engineering > Mechanical engineering

Other information

Authenticus ID: P-003-0ZP

DOI: 10.1016/j.compscitech.2010.07.022

Abstract (EN): This paper presents a new methodology to measure the crack resistance curves associated with fiber-dominated failure modes in polymer-matrix composites The crack resistance curves not only characterize the fracture toughness of the material, but are also the basis for the identification of the parameters of the softening laws used in the numerical simulation of fracture in composite materials The proposed method is based on the identification of the crack tip location using Digital Image Correlation and the calculation of the J-integral directly from the test data using a simple expression derived for cross-ply composite laminates It is shown that the results obtained using the proposed methodology yield crack resistance curves similar to those obtained using Finite Element based methods for compact tension carbon-epoxy specimens However, it is also shown that, while the Digital Image Correlation based technique mitigates the problems resulting from Finite Element based data reduction schemes applied to compact compression tests, the delamination that accompanies the propagation of a kink-band renders compact compression test specimens unsuitable to measure resistance curves associated with fiber kinking.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8