Fatigue and Lifetime Prediction of Metal-Based Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Metals and Alloys".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 575
Special Issue Editors
Interests: glass-fiber reinforced polymers; 3D printed polymers; fatigue of polymers; ageing effects
Special Issues, Collections and Topics in MDPI journals
Interests: fatigue; fracture; structural integrity; failure analysis; mechanical behaviour of materials
Special Issues, Collections and Topics in MDPI journals
Interests: fatigue and fracture behavior of materials; mechanical characterization; structural integrity of conventional and innovative materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fatigue failure is a critical concern in a wide range of industries, including structural, automotive, aeronautical, naval and locomotive, among others. Metal-based materials are commonly used in these engineering areas due to their desirable mechanical properties. However, the prediction of fatigue life remains a challenging task due to the complex nature of fatigue mechanisms and their dependence on various factors such as loading conditions, material properties, and environmental effects.
The objective of this Special Issue is to bring together researchers and practitioners from academia and industry to contribute their original research and review articles, addressing the recent advances in fatigue and lifetime prediction of metal-based materials. By collating diverse perspectives and approaches, we aim to foster a deeper understanding of fatigue mechanisms, address the recent advances in lifetime prediction models, and identify strategies to enhance the fatigue performance of metal-based materials.
This Special Issue will cover a wide range of topics related to fatigue and lifetime prediction of metal-based materials, including, but not limited to, the following:
- Experimental techniques for fatigue testing and characterization;
- Multiscale modeling and simulation of fatigue behavior;
- Damage accumulation and crack initiation/propagation mechanisms;
- Effect of microstructure, texture, and grain boundaries on fatigue life;
- Size and notch effects on fatigue behavior;
- Environmental effects on fatigue performance (corrosion, temperature, humidity);
- Fatigue behavior of additive manufactured metallic alloys;
- Data-driven approaches and machine learning techniques for lifetime prediction;
- Reliability and statistical analysis of fatigue data;
- Case studies and real-world applications of fatigue assessment and prediction.
Dr. Ricardo Branco
Dr. Rui C. Martins
Prof. Dr. Filippo Berto
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- fatigue life prediction
- additive manufacturing
- notch effect
- size effect
- environmental effects
- microstructure
- damage accumulation
- variable amplitude loading
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