چکیده مقاله
Axial fatigue life prediction of metallic materials has evolved significantly, encompassing classical empirical methods, fracture mechanics based approaches, computational simulations, and advanced data driven and multiscale models Traditional S N and ε N curves remain foundational for high cycle and low cycle fatigue assessment, while Miner's rule provides a practical framework for cumulative damage under variable amplitude loading Fracture mechanics, including Paris law based models, effectively predict crack propagation, incorporating thresholds, load interaction effects, and environmental influences Finite Element Analysis FEA enhances predictive capability by capturing local stress strain distributions in complex geometries Emerging approaches, such as crystal plasticity finite element modeling and machine learning, allow for microstructural informed predictions and management of variability, particularly in very high cycle fatigue VHCF Despite these advances, challenges persist due to data scatter, limited high quality experimental datasets, and the limitations of phenomenological models Future directions emphasize the integration of multiscale modeling, environmental and multiaxial loading effects, and probabilistic approaches, aiming to develop unified, physics informed, and data driven predictive frameworks Such developments are expected to improve design reliability, optimize operational safety, and reduce over conservatism in engineering applications
نویسندگان
شیوه ارجاع
Hatami, Behnam and Rashidi, Reza,1404,Comprehensive Review of Techniques for Axial Fatigue Life Prediction in Metallic Materials: Theory, Modeling, and Applications,28th National Conference on Electrical, Computer and Mechanical Engineering,Shirvan
ارائهشده در
مجموعه مقالات بیست و هشتمین کنفرانس ملی مهندسی برق، کامپیوتر و مکانیک25 آذر 1404 · شیروان