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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Multiscale Computational Engineering
Импакт фактор: 1.016 5-летний Импакт фактор: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Печать: 1543-1649
ISSN Онлайн: 1940-4352

Выпуски:
Том 17, 2019 Том 16, 2018 Том 15, 2017 Том 14, 2016 Том 13, 2015 Том 12, 2014 Том 11, 2013 Том 10, 2012 Том 9, 2011 Том 8, 2010 Том 7, 2009 Том 6, 2008 Том 5, 2007 Том 4, 2006 Том 3, 2005 Том 2, 2004 Том 1, 2003

International Journal for Multiscale Computational Engineering

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

IDENTIFICATION AND PROBABILISTIC MODELING OF MESOCRACK INITIATIONS IN 304L STAINLESS STEEL

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

Краткое описание

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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