To develop vehicles with adhesively bonded structures, one needs to be able to perform structural finite element (FE) analysis of the adhesive joints. In current structural analysis practice, adhesive joints are modeled as rigid joints, semi-rigid springs, or other equivalent representations. This paper is aimed at determining modeling methods that give reasonably accurate predictions of the stiffness of bonded joints, and yet are practical enough to be used at the component or vehicle level of modeling. Starting with the double lap shear (DLS) joint, different finite element modeling methods were investigated. Simulation results were compared with DLS test results and with the analytical solutions presented in Part 1 of this paper (Stiffness prediction of the double lap shear joint. Suitable modeling methods are recommended for ABAQUS and LS-DYNA.
International Journal of Adhesion and Adhesives – Elsevier
Published: Jun 1, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera