Title Statistical estimation of resistance to cyclic deformation of structural steels and aluminum alloy /
Authors Bazaras, Žilvinas ; Lukoševičius, Vaidas
DOI 10.3390/met12010047
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Is Part of Metals.. Basel : MDPI. 2022, vol. 12, iss. 1, art. no. 47, p. 1-23.. ISSN 2075-4701
Keywords [eng] cyclic loading curves parameters ; durability ; log-normal distribution ; low cycle fatigue ; normal distributions ; probability ; weibull distribution
Abstract [eng] Resistance to cyclic loading is a key property of the material that determines the opera-tional reliability of the structures. When selecting a material for structures operating under low-cycle loading conditions, it is essential to know the cyclic deformation characteristics of the material. Low-cycle strain diagrams are very sensitive to variations in chemical composition, thermal processing technologies, surface hardening, loading conditions, and other factors of the material. The application of probability methods enables the increase in the life characteristics of the structures and the confirmation of the cycle load values at the design phase. Most research papers dealing with statistical descriptions of low-cycle strain properties do not look into the distribution of low-cycle diagram characteristics. The purpose of our paper is to provide a probability assessment of the low-cycle properties of materials extensively used in the automotive and aviation industries, taking into account the statistical assessment of the cyclic elastoplastic strain diagrams or of the parameters of the diagrams. Materials with contrasting cyclic properties were investigated in the paper. The findings of the research allow for a review of durability and life of the structural elements of service facilities subjected to elastoplastic loading by assessing the distribution of low-cycle strain parameters, as well as the allowed distribution limits.
Published Basel : MDPI
Type Journal article
Language English
Publication date 2022
CC license CC license description