Research Catalog

A unified statistical methodology for modeling fatigue damage

Title
A unified statistical methodology for modeling fatigue damage / Enrique Castillo, Alfonso Fernández-Canteli.
Author
Castillo, Enrique, 1946-
Publication
[Dordrecht?] : Springer, ©2009.

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StatusFormatAccessCall NumberItem Location
Book/TextUse in library TA418.38 .C377 2009Off-site

Details

Additional Authors
Fernández-Canteli, Alfonso.
Description
xiv, 232 pages : illustrations; 25 cm
Summary
"After an introductory chapter in which an overview of the book is provided, the following chapters are devoted to derive models for the S-N fields for fixed and varying stress level, the [actual symbol not reproducible]-N fields, the relations between the two, and an analysis of the size effect in fatigue problems. Next, crack growth models are derived based on fracture mechanics, statistical and common sense considerations, which lead to functional equations providing non-arbitrary models. Finally, the problem of selecting damage measures is analyzed, and some are identified and proposed as the most convenient, including the probability of failure and a normalized measure related to the percentile curve. This leads to very simple and useful damage accumulation rules, which are illustrated with some examples."--Jacket.
Subject
  • Materials > Fatigue
  • Materials > Fatigue > Mathematical models
  • fatigue (condition)
  • Science des matériaux
  • Chimie
  • Materials > Fatigue
  • Materials > Fatigue > Mathematical models
Bibliography (note)
  • Includes bibliographical references and index.
Contents
And Motivation of the Fatigue Problem -- Presentation of the Book. An Integrated Overview of the Fatigue Problem -- Models Used in the Stress Based Approach -- S-N or Wöhler Field Models -- Length Effect -- Models Used in the Strain Based Approach -- Log-Weibull?-N Model -- Models Used in the Fracture Mechanics Approach -- Crack Growth Models -- Damage and Damage Accumulation Models -- Damage Measures -- Damage Accumulation.
ISBN
  • 9781402091810
  • 1402091818
  • 9781402091827
  • 1402091826
  • 9048180864
  • 9789048180868
LCCN
  • 2008941101
  • 9786612019432
OCLC
  • ocn253227766
  • 253227766
  • SCSB-9175995
Owning Institutions
Princeton University Library