Fracture and Fatigue Emanating from Stress Concentrators (Hardcover)

by G. Pluvinage (Author) "Notch effect results in the modification of the stress distribution owed to the presence of a notch which changes the force flux (Figure 1.1)..." (more)
Key Phrases: fatigue life duration, fatigue reference curve, relative stress gradient, Engineering Fracture Mechanics, Journal of Applied Mechanics, International Journal of Fatigue (more...)

Editorial Reviews

Product Description
A vast majority of failures emanate from stress concentrators such as geometrical discontinuities. The role of stress concentration was first highlighted by Inglis (1912) who gives a stress concentration factor for an elliptical defect, and later by Neuber (1936). With the progress in computing, it is now possible to compute the real stress distribution at a notch tip. This distribution is not simple, but looks like pseudo-singularity as in principle the power dependence with distance remains. This distribution is governed by the notch stress intensity factor which is the basis of Notch Fracture Mechanics. Notch Fracture Mechanics is associated with the volumetric method which postulates that fracture requires a physical volume. Since fatigue also needs a physical process volume, Notch Fracture Mechanics can easily be extended to fatigue emanating from a stress concentration.

Product Details

• Hardcover: 242 pages
• Publisher: Springer; 1 edition (December 31, 2003)
• Language: English
• ISBN-10: 1402016093
• ISBN-13: 978-1402016097
• Product Dimensions: 9.6 x 6.3 x 0.7 inches
• Shipping Weight: 1.1 pounds (View shipping rates and policies)
• Average Customer Review: 1.0 out of 5 stars See all reviews (1 customer review)
• Amazon.com Sales Rank: #2,669,549 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

1.0 out of 5 stars A lot of misleading information., July 13, 2004

By	Edison da Rosa (Florianopolis, Santa Catarina Brazil) - See all my reviews

This book is unfortunately an useless one.

It is very appealing in the title, but have a lot of impossible to understand drawings (null quality), wrong captions, missing data, some nonsense definitions (like Neuber's rule in pg 46) and so on.

On the other hand, the book presents a lot of interesting information about FEA and experimental data, but the reader must be very careful in use them.

Sincerely I dont understand as a publisher like Kluwer print a book without any major revisions!

The book is not a cheap one, but it don't worth your money.