Polynomial Evaluation of Stress Intensity Factors of CNS Specimen with an Interface Crack Subject to Mixed-Mode Loading

• Published in: JSME International Journal Series A Solid Mechanics and Material Engineering Vol. 42; no. 1; pp. 57 - 65
• Main Author: MACHIDA, Kenji
• Format: Journal Article
• Language: English
• Published: Tokyo The Japan Society of Mechanical Engineers 01.01.1999; Japan Society of Mechanical Engineers; Japan Science and Technology Agency
• Subjects: Exact sciences and technology; Extension Method; Finite Element Method; Fracture Mechanics; Fracture mechanics (crack, fatigue, damage...); Fracture mechanics, fatigue and cracks; Fundamental areas of phenomenology (including applications); Interface Crack; Measurement and testing methods; Measurement methods and techniques in continuum mechanics of solids; Mixed Mode; Physics; Polynomial Fitting; Solid mechanics; Stress Intensity Factor; Structural and continuum mechanics; Virtual Crack; Elastic constant; Shear test; Stress analysis; Mode coupling; Deformation modulus; Numerical method; Test bar; Finite element method; Three dimensional model; Stress intensity factor; Model matching; Virtual work principle; Interface crack; Measurement method; Fracture toughness test; Curve fitting; Breaking test
• ISSN: 1344-7912; 1347-5363
• DOI: 10.1299/jsmea.42.57

Three-dimensional finite element analysis has been carried out on the compact normal and shear(CNS) specimens under mixed-mode loading. The complex stress-intensity factor K associated with an elastic interface crack is discussed by the virtual crack extension method. The effect of Young's modulus and Poisson's ratio on stress intensity factors is discussed under various kinds of mixed-mode loading. The distribution of stress intensity factors along the crack front is investigated. A polynomial fitting is proposed to evaluate the stress-intensity factors at the midsection of CNS specimen with an interface crack subject to mixed-mode loading. It is possible to evaluate the stress-intensity factors of CNS specimen with high accuracy by the present polynomial evaluation.