Advances in Modeling Fatigue Damage and Fracture of Engineering Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Physics".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 1502
Special Issue Editors
Interests: materials science and engineering; microstructure and defect analysis; fatigue behavior (LCF–VHCF), high temperature and corrosion fatigue; physical measurement methods and condition monitoring; damage evolution and lifetime prediction; mechanism-based modeling and simulation
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence/machine learning; quantum mechanics/molecular dynamics; additive manufacturing (Ti, Al, and steels); numerical and statistical modeling; cyclic plasticity and fracture
Special Issue Information
Dear colleagues,
The investigation of the fatigue of engineering materials started more than one hundred years ago; however, with the development of new engineering materials, testing methods, and computational techniques, fatigue assessment was reinvented. Real-time imagery of fatigue damage—coupled with state-of-the-art sensor technology—made understanding damage mechanisms at a sub-microscale possible. Further insights into design against fatigue are achieved by the integration of computational methods in the fatigue investigation techniques that are continuously enhanced by ever-increasing computational power. Data-driven algorithms achieved complicated fatigue-related structure–property relationships that are computationally prohibitive when using physics-based modeling alone. The fatigue community is currently thirsty for interdisciplinary approaches to fatigue analysis, even after more than one hundred years of fatigue research. We kindly invite renowned and early fatigue researchers to contribute to this effort of leveling up current advances in modeling fatigue damage and fracture within the scope highlighted here.
Prof. Dr. Frank Walther
Dr. Mustafa Awd
Guest Editors
Manuscript Submission Information
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Keywords
- fatigue
- damage
- sensor technology
- microscale damage
- computational methods
- data-driven algorithms
- structure–property
- effective mechanisms
- physics-based modeling
