Fatigue of Materials and Structures
Physics and Data Science
Series: Structural Damage, Fatigue and Fracture;
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83 506 Ft
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 19 May 2025
- ISBN 9781032497556
- Binding Hardback
- No. of pages494 pages
- Size 234x156 mm
- Language English
- Illustrations 73 Illustrations, black & white; 263 Illustrations, color; 13 Halftones, black & white; 89 Halftones, color; 60 Line drawings, black & white; 174 Line drawings, color; 24 Tables, black & white 700
Categories
Short description:
Key theories and methods of fatigue failure are discussed with fatigue damage accumulation, crack initiation and crack growth analysis. The focus is on mechanical understanding and risk management for design, maintenance, and operation, plus fatigue of additive manufactured metals and advanced materials, with data analytics and AI.
MoreLong description:
Fatigue failure of engineering materials and structures has long been a great challenge for structural integrity, reliability and safety in mechanical, civil and aerospace engineering. These failure mechanisms and their modeling are critical concerns for managing aging structures, and directly affect sustainability across society.
In this context, the fundamental theories and methods of fatigue failure of engineering materials and structures are discussed in detail. Fatigue damage accumulation, crack initiation and crack growth analysis are presented from materials to structures, deterministic to probabilistic fatigue, physics to data science, uniaxial to multiaxial fatigue, and extremely low cycle fatigue to very high cycle fatigue. The focus is on mechanical understanding and risk management for design, maintenance, and operation.
Some recent advancements include fatigue of additive manufactured (AM) metals and advanced materials, which could potentially transform fatigue analysis and offer new perspectives on fatigue failure mechanisms and reliability design. Both experimental supporting evidence and simulation benefits are demonstrated. It integrates recent developments in artificial intelligence with fatigue in AM metals and advanced materials. It provides case studies, and future research challenges for the fusion of fatigue physics modeling with data analytics, for graduate students and advanced practitioners.
MoreTable of Contents:
1. Introduction and Overview 2. Variable Amplitude Fatigue 3. Multiaxial Fatigue 4. Fatigue Crack Growth 5. Ultra Low Cycle Fatigue 6. Very High Cycle Fatigue 7. Fatigue Reliability 8. Fatigue of Additive Manufactured Materials 9. Fatigue of Joints and Structures 10. Fatigue Modeling with Artificial Intelligence and Machine Learning 11. Advances in Fatigue: Hydrogels, Biomaterials, Ceramics, and Small Scale Dimensional Materials
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