Probabilistic Fatigue Crack Initiation and Propagation Fields Using the Strain Energy Density

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

Authors

José A. F. O. Correia (Author) FEUP; P. J. Huffman (Author) Other; Abílio M. P. de Jesus (Author) FEUP; G. Lesiuk (Author) Other; José M. Castro (Author) FEUP; Rui Bártolo Calçada (Author) FEUP; F. Bertod (Author) Other

Journal

Title: Strength of Materials

Vol. 50 No. 4

Pages: 620-635

ISSN: 0039-2316

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 18 Citations

Scopus - 18 Citations

INSPEC

Other information

Authenticus ID: P-00P-VK7

DOI: 10.1007/s11223-018-0007-5

Abstract (EN): The fatigue crack growth (FCG) has been widely studied by the scientific community. There are several proposed FCG models, the best known being the Paris relation. The fatigue crack initiation and propagation have been studied separately, however, researchers have made an effort to study the relationship between these two fatigue phenomena. In this sense, several fatigue crack growth models based on local approaches have been proposed, the UniGrow model being well-known. The fatigue crack growth process is assumed a succession of crack re-initiations considering a certain elementary material size. Recently, Huffman developed a strain energy density based on Walker-like stress life and fatigue crack growth behavior. In this paper, the Huffman model based on local strain energy density is used to predict the fatigue crack initiation and propagation for the P355NL1 pressure vessel steel. This model is combined with the generalized probabilistic fatigue model proposed by Correia aiming the generation of probabilistic fatigue crack initiation and propagation fields. In this study, the local stress and strains at the crack tip were obtained combining linear-elastic and elastoplastic analyses. The probabilistic fatigue crack growth rates fields for several stress R-ratios are estimated considering strain, SWT, and equivalent stress amplitude damage parameters. A comparison between the experimental FCG data and the generated probabilistic FCG fields is made with very satisfactory correlations being found.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16