کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
770270 1463096 2014 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison and evaluation of two types of cohesive zone models for the finite element analysis of fracture propagation in industrial bonded structures
ترجمه فارسی عنوان
مقایسه و ارزیابی دو نوع مدل های ساحلی منطقه ای برای تحلیل عناصر محدود بازاریابی شکست در ساختارهای باند صنعتی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی


• A bi-linear traction–separation and an elasto-plastic-damage model are compared.
• Both models are used with cohesive zone and provide computational efficiency in industrial benchmarks.
• The elasto-plastic-damage model is required to obtain numerical accuracy with thick or stiff substrates.
• Both models provide the same level of accuracy for thin plates structures met in industrial applications.

This paper evaluates and compares two material constitutive models for the finite element analysis of structural adhesively bonded joints in large industrial bonded structures. The first model is a classical bi-linear traction–separation model whereas the second model is a more advanced pressure-dependent elasto-plastic-damage model. On one hand, both models predict different global force–displacement responses when simulating small lab experiments where the adhesive layer is confined between thick metal substrates, such as a Thick Adherend Shear Test. On the other hand, these differences become negligible when simulating the deformation and fracture behaviour of adhesive bonds in industrial benchmarks. These differences are extensively discussed and interpreted carefully and a special attention is paid to the compromise between computational accuracy, computational efficiency and modelling simplicity, which are key requirement to the transfer of such material constitutive models to the industry.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Fracture Mechanics - Volume 132, December 2014, Pages 48–69
نویسندگان
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