Prediction of long term strength of adhesively bonded steel/epoxy joints in sea water

Type Article
Date 2009-09
Language English
Author(s) Bordes Melanie1, 2, Davies PeterORCID1, Cognard J. -Y.3, Sohier L.4, Sauvant-Moynot V.2, Galy J.5
Affiliation(s) 1 : IFREMER, Ctr Brest, Mat & Struct Grp, F-29280 Plouzane, France.
2 : Inst Francais Petr, Dept Mat, F-69390 Vernaison, France.
3 : ENSIETA, LBMS, F-29806 Brest, France.
4 : Univ Bretagne Occidentale, LBMS, F-29285 Brest, France.
5 : Inst Natl Sci Appl, LMM, IMP, F-69621 Villeurbanne, France.
Source International Journal of Adhesion and Adhesives (0143-7496) (Elsevier), 2009-09 , Vol. 29 , N. 6 , P. 595-608
DOI 10.1016/j.ijadhadh.2009.02.013
WOS© Times Cited 83
Keyword(s) Coupling, Finite element stress analysis, Aging, Durability
Abstract This study is concerned with the development of a tool to predict the long term behaviour of adhesively bonded steel joints aged in sea water. First, diffusion kinetics and the mechanisms governing the degradation of mechanical properties of an epoxy adhesive are described. These two sets of data were used in a Coupled finite element (FE) analysis to determine the stress state in double lap shear (DLS) specimens before and after aging. However, subsequent tests on DLS specimens indicated an adhesive and not cohesive failure mode, so this approach could not be used to predict failure in the present case without introducing an interfacial damage parameter. A second approach was therefore employed, in which modified Arcan samples were designed in order to identify directly how the failure envelope changed with aging. Tests were performed on these modified Arcan specimens under shear, tensile/shear and tensile loads before and after aging. The results from these tests have enabled a tension-shear failure envelope to be constructed, which may be used to predict failure in joints with more complex stress states. The application of a coupled diffusion-mechanical property approach is illustrated for the Arcan specimen loaded in tension, and its application to the prediction of failure behaviour after aging is discussed. (C) 2009 Elsevier Ltd. All rights reserved.
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