Year: 2025
Type: article
Abstract: Low-cycle fatigue (LCF) life assessment typically involves complex procedures, such as acquiring material properties through cyclic stress-strain tests followed by strain-controlled fatigue tests. In this study, a practical method is proposed to predict the LCF life of high-strength steel T-joint welds using only minimal material properties, such as limited fatigue data and tensile strength. First, stress-controlled fatigue test data with mean stress was converted to fully-reversed (R = -1) conditions using the Goodman equation. An initial S-N curve was then constructed by extrapolating a virtual data point using the tensile strength. Subsequently, the stress in the low-cycle region was corrected by applying a plasticity correction factor derived from nonlinear finite element analysis (FEA), and the fatigue life was predicted accordingly. For validation, the results of the proposed method were compared with a baseline established from the Coffin-Manson and Ramberg-Osgood relations. The results showed a strong agreement, with a prediction error of less than 6.6% at 10,000 cycles, confirming the model’s validity. This method is expected to be useful for the rapid and simple assessment of fatigue performance in high-strength steel welds when data is limited, such as in early design stages.
Source: Journal of Welding and Joining
Authors: Han-Min Bang, Ji-Hoon Kim, Myung-Hyun Kim
Institution: Pusan National University
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Pusan National University
OpenAlex ID: W7117546608