Description
Experimental and Numerical Investigation of Fatigue Behaviors: Special Issue InformationDear Colleagues,
The study of fatigue behaviour in engineering components remains a critical area of research, particularly as industries push the boundaries of performance, durability, and safety. The materials subjected to recurring cyclic loads and multiaxial stresses often experience fatigue failure, which can lead to catastrophic consequences in engineering applications ranging from aerospace and automotive to civil infrastructure and biomedical devices.
This Special Issue aims to provide a comprehensive exploration of the latest developments in both the experimental and numerical methods to investigate fatigue behaviour. We invite submissions that focus on the detailed characterisation of fatigue mechanisms across multiple length scales, ranging from microstructural changes at the atomic or granular level to crack initiation and propagation at the macroscopic scale. Contributions employing advanced numerical simulations, including finite element analysis (FEA) and computational fluid dynamics (CFD), are highly encouraged.
Additionally, with the evolving nature of fatigue research, we also welcome interdisciplinary approaches that combine concepts from materials science, mechanics, and computational modelling. Contributions that integrate experimental techniques with advanced numerical simulations, e.g., FEA and CFD, as well as cross-disciplinary methods from fields like data science or machine learning, are encouraged to provide a more comprehensive understanding of fatigue performance under complex loading conditions.
The goal of this Special Issue is to bridge the gap between theoretical research and practical applications, promoting innovation in fatigue life prediction, enhancing structural integrity assessments, and advancing the development of materials and structures with improved fatigue resistance.
Dr. Usman Abdullah
Dr. Salman Saeidlou
Dr. Mian Hammad Nazir
Guest Editors
Period | 1 Jun 2024 → 20 Aug 2025 |
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Type of journal | Journal |
ISSN | 2073-4352 |