کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4966170 1448766 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Numerical modelling of adhesively-bonded double-lap joints by the eXtended Finite Element Method
ترجمه فارسی عنوان
مدل سازی عددی اتصالات دو لبه چسبنده با استفاده از روش عنصر محدود اکسل شده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
The use of adhesive joints in industrial applications has been increasing in recent years because of the significant advantages offered compared to traditional joining methods such as welding, fastening and riveting. Thus, the existence of design tools is necessary to predict the joints' strength with high accuracy. The eXtended Finite Element Method (XFEM) is emerging as a method to predict the joints' behaviour, although this has not yet been adequately studied for the application to adhesive joints. This work presents an experimental and numerical study by XFEM of double-lap joints, in which adhesives ranging from brittle and strong, as the case of the Araldite® AV138, to more ductile adhesives, as the Araldite® 2015 and the Sikaforce® 7888, are applied. Aluminium substrates were considered (AW6082-T651) in joints with different overlap lengths (LO), subjected to a tensile load, in order to evaluate their performance. In the numerical study, an analysis of the stress distributions in the adhesive layer, a strength prediction by XFEM considering damage initiation criteria based on stresses and strains, and also a study on the energy criterion for damage propagation, were carried out. The XFEM analysis revealed that this method is very accurate when using specific damage initiation criteria, and a parameter of 1 in the damage propagation criterion, are considered. The choice of criteria that are not consistent with the adhesives' behaviour and observed failure modes results in large errors.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Finite Elements in Analysis and Design - Volume 133, 1 October 2017, Pages 1-9
نویسندگان
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