Random Fatigue - 1st Edition - ISBN: 9780126542257, 9780323138581

Random Fatigue

1st Edition

From Data to Theory

Authors: K. Sobczyk B. Spencer, Jr.
eBook ISBN: 9780323138581
Imprint: Academic Press
Published Date: 17th January 1992
Page Count: 288
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST
× DRM-Free

Easy - Download and start reading immediately. There’s no activation process to access eBooks; all eBooks are fully searchable, and enabled for copying, pasting, and printing.

Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

Open - Buy once, receive and download all available eBook formats, including PDF, EPUB, and Mobi (for Kindle).

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


For many years fatigue has been a significant and difficult problem for engineers, especially for those who design structures such as aircraft, bridges, pressure vessels, and cranes. Fatigue of engineering materials is commonly regarded as an important deterioration process and a principal mode of failure for various structural and mechanical systems. This book presents a unified approach to stochastic modeling of the fatigue phenomenon, particularly the fatigue crack growth process. The main approaches to construction of these stochastic models are presented to show their methodological consistency and potential usefulness in engineering practice. The analyses contained in this work should also inspire the development of new approaches for designing and performing fatigue experiments.


Researchers, practitioners, and educators in civil, mechanical, aeronautical, and space engineering.

Table of Contents

Fatigue of Engineering Materials: Empirical Background. Stochastic Approach to Fatigue: Mathematical Prerequisites. Random Fatigue Loads: Statistical Characteristics. Random Fatigue: Evolutionary Probabilistic Models. Random Fatigue Crack Growth: Cumulative Jump Models. Random Fatigue Crack Growth: Differential Equation Models. Comparison and Applications. Index.


No. of pages:
© Academic Press 1992
Academic Press
eBook ISBN:

About the Author

K. Sobczyk

Affiliations and Expertise

Institute of Fundamental Technological Research

B. Spencer, Jr.

Affiliations and Expertise

University of Notre Dame

Ratings and Reviews