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Applied Reliability : Fracture Mechanics.
This second book of a 3-volume set on Fracture Mechanics completes the first volume through the analysis of adjustment tests suited to correctly validating the justified use of the laws conforming to the behavior of the materials and structures under study.This volume focuses on the vast range of st...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Wiley,
2013.
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| Edición: | 11th ed. |
| Colección: | ISTE.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Title Page; Contents; Preface; Glossary; Chapter 1. Fracture Mechanisms by Fatigue; 1.1. Introduction; 1.2. Principal physical mechanisms of cracking by fatigue; 1.2.1. Fracture mechanics; 1.2.2. Criteria of fracture (plasticity) in mechanics; 1.3. Modes of fracture; 1.3.1. Directed works; 1.4. Fatigue of metals: analytical expressions used in reliability; 1.4.1. Wöhler's law; 1.4.2. Basquin's law (1910); 1.4.3. Stromayer's law (1914); 1.4.4. Palmgren's law; 1.4.5. Corson's law (1949); 1.4.6. Bastenaire's law; 1.4.7. Weibull's law; 1.4.8. Henry's law; 1.4.9. Corten and Dolen's law
- 1.4.10. Manson-Coffin's law 1.5. Reliability models commonly used in fracture mechanics by fatigue; 1.5.1. Coffin-Manson's model for the analysis of crack propagation; 1.5.2. Neuber's relation (1958); 1.5.3. Arrhenius' model; 1.5.4. Miner's law (1954); 1.6. Main common laws retained by fracture mechanics; 1.6.1. Fost and Dugdale's law; 1.6.2. McEvily's law (1979); 1.6.3. Paris's law; 1.6.4. G.R. Sih's law; 1.7. Stress intensity factors in fracture mechanics; 1.7.1. Maddox's model; 1.7.2. Gross and Srawley's model; 1.7.3. Lawrence's model; 1.7.4. Martin and Bousseau's model
- 2.4.1. Development and calculations 2.5. Confidence interval for estimating a normal mean: unknown variance; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. Analysis of the Reliability of Materials and Structures by the Bayesian Approach; 3.1. Introduction to the Bayesian method used to evaluate reliability; 3.2. Posterior distribution and conjugate models; 3.2.1. Independent events; 3.2.2. Counting diagram; 3.3. Conditional probability or Bayes' law; 3.4. Anterior and posterior distributions; 3.5. Reliability analysis by moments methods, FORM/SORM