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影响因子: 1.016 5年影响因子: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN 打印: 1543-1649
ISSN 在线: 1940-4352


DOI: 10.1615/IntJMultCompEng.v9.i4.70
pages 445-458


J. Rupil
CEA Saclay, DEN-DANS/DMN/SRMA/LC2M; and LMT Cachan, ENS Cachan/CNRS/UPMC/PRES UniverSud Paris, France
L. Vincent
CEA Saclay, DEN-DANS/DMN/SRMA/LC2M, F-91191 Gif sur Yvette Cedex, France
F. Hild
LMT Cachan, ENS Cachan/CNRS/UPMC/PRES UniverSud Paris, France
Stephane Roux
LMT Cachan, ENS Cachan/CNRS/UPMC/PRES UniverSud Paris; and Laboratoire d'Etudes Aérodynamique (LEA), Université de Poitiers, ENSMA, CNRS, France


A probabilistic model is proposed to simulate the growth of fatigue damage in an austenitic stainless steel at a mesoscopic scale. Several fatigue mechanical tests were performed to detect and quantify mesocrack initiations for different loadings by using digital image correlation. The number of initiated mesocracks is experimentally determined. The process is then described by a Poisson point process. The intensity of the process is evaluated by using a multiscale approach based on a probabilistic crack initiation law in a typical grain.


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