Bridging strategy between microscopic and macroscopic crack growth simulations to predict fatigue strength of steels. (March 2023)

• Record Type: Journal Article
• Authors: Zhou, Hongchang; Suzuki, Yuta; Kinefuchi, Masao; Schmauder, Siegfried; Dogahe, Kiarash; Shibanuma, Kazuki
• Is Part Of: International journal of fatigue. Volume 168(2023)
• Publication Date: 2023-03
• Subjects: Fatigue life prediction -- Multiscale model -- Crack driving force -- Steel; LEFM Linear Elastic Fracture Mechanics -- LC Long Crack -- SC Short Crack -- SIF Stress Intensity Factor -- CGR Crack Growth Rate -- FEA Finite Element Analysis -- IPF Inverse Pole Figure -- PLC Programmable Logic Controller; Materials -- Fatigue -- Periodicals; Materials -- Fatigue; Periodicals; 620.1122
• DOI: 10.1016/j.ijfatigue.2022.107386
• Languages: English
• ISSNs: 0142-1123

Abstract

Graphical abstract: Highlights: Strategy for bridging microscopic and macroscopic crack-growth simulation proposed. The multiscale model and the concept of the bridging method are integrated. Reduction of more than 90% in the numerical costs compared to multiscale model. Accurate and efficient prediction of fatigue life/limit and crack-growth processes. Can evaluate fatigue failure behaviour of thick components/structures. Abstract: A strategy for bridging microscopic and macroscopic crack-growth simulations is proposed for efficiently and accurately predicting the fatigue strength of steels by integrating the multiscale model and the concept of the bridging method. Validation by comparing the experimental results of macro-crack specimens and the numerical results of the multiscale model shows a reduction of more than 90% in the numerical costs with the proposed strategy compared to the multiscale model. Only 4.2% and 2.7% errors in fatigue life for the two macro-crack specimens under the maximum loading cases are achieved, whereas no errors in fatigue limits are observed using the proposed strategy, compared to the multiscale model. The accuracy and efficiency of predicted results indicate that the proposed strategy can serve as a robust foundation for evaluating the fatigue failure behaviour of thick components/structures in engineering applications.