Fatigue Prediction for Random Loads
Using the Rainflow Method
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 21 May 2025
- ISBN 9780367895846
- Binding Hardback
- No. of pages332 pages
- Size 234x156 mm
- Weight 770 g
- Language English
- Illustrations 70 Illustrations, black & white; 23 Illustrations, color; 70 Line drawings, black & white; 23 Line drawings, color; 21 Tables, black & white 697
Categories
Short description:
Fatigue Prediction for Random Loads serves as a comprehensive treatise for methods for fatigue estimation and fatigue life prediction in randomly excited structural systems using the rainflow cycle counting method.
MoreLong description:
Fatigue Prediction for Random Loads serves as a comprehensive treatise for methods for fatigue estimation and fatigue life prediction in randomly excited structural systems using the rainflow cycle counting method.
Fatigue is an important mode of material degradation in structural components subjected to vibrations and a reliable estimation of their fatigue life span, and it is a key consideration in the design and development of such systems. This book uses advanced concepts of probability theory, random variables and random processes to develop spectral-based methods and formulae for predicting expected fatigue damage and expected fatigue life. The developments presented here bypass the need for a computationally expensive rainflow cycle counting that is usually adopted in time domain approaches.
This book is aimed towards researchers and industry practitioners working in the intersectional areas of mechanics and applied mathematics and is expected to be particularly useful for applications on problems in the fields of wind engineering, offshore engineering, ship research and routing, aerospace engineering, automotive engineering and machine dynamics.
MoreTable of Contents:
1. Fatigue Damage. 2. Mathematical Prerequisite. 3. Reliability Estimation. 4. Cycle Count and Expected Damage. 5. Sampled Loads ? Time Series. 6. Gaussian Loads ? Theory. 7. Gaussian Loads ? Applications. 8. Markov Loads. 9. Laplace Moving Average (LMA). 10. Non-Linear Load Transformations. 11. Variance of Damage Estimate.
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