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Titolo:
An overview of the damage approach of durability modelling at elevated temperature
Autore:
Chaboche, JL; Gallerneau, F;
Indirizzi:
Off Natl Etud & Rech Aerosp, DMSE, Chatillon, France Off Natl Etud & Rech Aerosp Chatillon France p, DMSE, Chatillon, France
Titolo Testata:
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
fascicolo: 6, volume: 24, anno: 2001,
pagine: 405 - 417
SICI:
8756-758X(200106)24:6<405:AOOTDA>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Soggetto:
LIFE PREDICTION; FATIGUE DAMAGE; CREEP-FATIGUE; RUPTURE; STRESS; STEEL;
Keywords:
creep; damage mechanics; fatigue; life prediction; oxidation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
51
Recensione:
Indirizzi per estratti:
Indirizzo: Chaboche, JL Off Natl Etud & Rech Aerosp, DMSE, Chatillon, France Off NatlEtud & Rech Aerosp Chatillon France illon, France
Citazione:
J.L. Chaboche e F. Gallerneau, "An overview of the damage approach of durability modelling at elevated temperature", FATIG FRACT, 24(6), 2001, pp. 405-417

Abstract

Lifetime prediction techniques for components working at elevated temperature are revisited. Two damage approaches in which time effects at high temperature are introduced in different ways are discussed in greater detail. First, a creep-fatigue damage model considers the interaction of the two processes during the whole life before macrocrack initiation; and second, a creep-fatigue-oxidation model separates the fatigue life into two periods: during initiation the environment-assisted processes interact with fatigue, although bulk creep damage only interacts during the micropropagation period. The second model is illustrated by its application to a coated single-crystal superalloy used in aerojet turbine blades. Its capabilities are illustrated in a number of isothermal and thermomechanical fatigue tests. Anisotropy effects are also briefly discussed and a special test, introducing cyclic thermal gradients through the wall thickness of a tubular component, demonstrates the predictive capabilities for actual engine conditions.

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Documento generato il 04/07/20 alle ore 13:57:27