Adhesive thickness influence on the shear fracture toughness measurements of adhesive joints

• Type: Article in International Scientific Journal
• Date: 2018

Authors

J. C. P. Figueiredo (Author) Other; R. D. S. G. CampilhoG (Author) Other; E. A. S. Marques (Author) Other; J. J. M. Machdo (Author) FEUP; Lucas F. M. da Silva (Author) FEUP

Journal

Title: International Journal of Adhesion and Adhesives

Vol. 83

Pages: 15-23

ISSN: 0143-7496

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 39 Citations

Scopus - 40 Citations

INSPEC

Other information

Authenticus ID: P-00P-GMV

DOI: 10.1016/j.ijadhadh.2018.02.015

Abstract (EN): To increase the confidence in the design of bonded structures, it is important to accurately predict their mechanical strength. In this context, Fracture and Damage Mechanics approaches have significant advantages over Continuum Mechanics. The Fracture Mechanics approach is often applied by an energetic analysis, where the main parameter to predict the evolution of damage and failure is the critical strain energy release rate (G(C)). This parameter can also be divided into the tensile (G(IC)) and shear (G(IIC)) components. Cohesive Zone Models (CZM) are a powerful strength prediction technique within the scope of Fracture Mechanics and take advantage of cohesive laws to induce crack growth in the numerical models. This work aims to estimate G(IIC) of adhesive joints of composite structures by the End-Notched Flexure (ENF) test, considering different values of adhesive thickness (t(A)). In this context, different data reduction methods to estimate G(IIC) are compared. On the other hand, the shear cohesive laws of the adhesive layer are obtained by the Finite Element Method (FEM) and CZM using an inverse technique, enabling to understand the influence of t(A) on the joints' shear behaviour. The numerical models accurately captured the observed experimental behaviour of the adhesive. A clear dependency was found regarding both G(IIC) and the shear cohesive strength (t(g)(0)), depending on t(A).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9