Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach. (September 2022)

• Record Type: Journal Article
• Authors: Camacho-Reyes, A.; Vasco-Olmo, J.M.; James, M.N.; Diaz, F.A.
• Is Part Of: International journal of fatigue. Volume 162(2022)
• Publication Date: 2022-09
• Subjects: Crack tip fields -- Crack tip characterising parameters -- CJP model, hybrid optimisation -- Crack tip location, genetic algorithm; Materials -- Fatigue -- Periodicals; Materials -- Fatigue; Periodicals; 620.1122
• DOI: 10.1016/j.ijfatigue.2022.106942
• Languages: English
• ISSNs: 0142-1123

Abstract

Highlights: A novel and accurate hybrid method for the simultaneous calculation of crack tip singularity parameters and the crack tip location. Easily automatable methodology for determining crack tip parameters together with crack tip location. Accurate methodology for quantifying crack tip shielding influence on the global elastic field by employing the CJP crack tip field model. Abstract: This work presents a hybrid optimisation technique for the simultaneous calculation of crack tip characterising parameters and its spatial location, which can significantly affect the characterising parameters if the position used is inaccurate. The hybrid technique combines initial use of a genetic algorithm to obtain a well-conditioned set of initial parameter values that is then passed to an interior point optimisation algorithm for subsequent fast optimisation. Use of the hybrid technique is also amenable to easy automation. The capability of the technique is demonstrated using the CJP crack tip field model, with digital image correlation (DIC) being used to measure the 2D crack tip displacement field. This model was chosen, not only for its demonstrated sensitivity to accuracy in crack tip location, but also for its proven utility in providing effective crack growth correlation in the presence of plasticity-induced shielding across a wide range of growth rates. The results obtained from the hybrid technique are shown to be reliable through comparison with results obtained using other established techniques.