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Book synopsis

Fatigue Testing and Analysis: Theory and Practice presents the latest, proven techniques for fatigue data acquisition, data analysis, and test planning and practice. More specifically, it covers the most comprehensive methods to capture the component load, to characterize the scatter of product fatigue resistance and loading, to perform the fatigue damage assessment of a product, and to develop an accelerated life test plan for reliability target demonstration. This book is most useful for test and design engineers in the ground vehicle industry. Fatigue Testing and Analysis introduces the methods to account for variability of loads and statistical fatigue properties that are useful for further probabilistic fatigue analysis. The text incorporates and demonstrates approaches that account for randomness of loading and materials, and covers the applications and demonstrations of both linear and double-linear damage rules. The reader will benefit from summaries of load transducer designs and data acquisition techniques, applications of both linear and non-linear damage rules and methods, and techniques to determine the statistical fatigue properties for the nominal stress-life and the local strain-life methods. Covers the useful techniques for component load measurement and data acquisition, fatigue properties determination, fatigue analysis, and accelerated life test criteria development, and, most importantly, test plans for reliability demonstrations. Written from a practical point of view, based on the authors' industrial and academic experience in automotive engineering design. Extensive practical examples are used to illustrate the main concepts in all chapters.

Book details

Book category Books in English Technology, engineering, agriculture Mechanical engineering & materials Materials science

• Full title: Fatigue Testing and Analysis
• Author: Yung-Li Lee, Jwo Pan, Richard Hathaway, Mark E. Barkey
• Language: English
• Binding: Hardback
• Number of pages: 416
• EAN: 9780750677196
• ISBN: 0750677198
• ID: 04676484
• Publisher: Elsevier Science & Technology
• Weight: 742 g
• Dimensions: 228 × 158 × 26 mm
• Date of publishing: 18. August 2004

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