Abstract
A novel test set-up is presented for validation of hybrid connector models between steel and aluminium components subjected to static and impact loading. The proposed components consisted of two hat profiles in steel and aluminium joined by adhesive bonding combined with self-piercing riveting. The geometry of the components was determined by numerical simulations in order to focus the behaviour on the connections under normal and shear dominated loading. The chosen components were tested under static and dynamic loading conditions in a 3-point bending setup. Different displacement measurement techniques were applied to reveal the specimens behaviour, including digital image correlation.Test results were applied to validate idealized numerical models of adhesive and self-piercing riveting connections.
Highlights
According to Oberkampf and Roy [1], the impact and capability of numerical simulations have the last 2–3 decades increased at an astounding pace and is common design practice in industry
The geometry of the components was determined by numerical simulations in order to focus the behaviour on the connections under normal and shear dominated loading
The first step in this study is to show how numerical simulations can be used to design components for precision testing as support for computer code validation
Summary
According to Oberkampf and Roy [1], the impact and capability of numerical simulations have the last 2–3 decades increased at an astounding pace and is common design practice in industry. The use of numerical simulations has increased with regard to helping designers and project managers to improve their decision making, as well as in the assessment of safety and reliability of manufactured products and processes. The impact of numerical simulations relies on its credibility, i.e. that the results of an analysis are worthy of belief or confidence. The fundamental elements that build credibility is validation which is a process of assessing the physical accuracy of a mathematical model based on comparison between computational results and experimental data. A validation activity requires access to high-quality experimental data in order to critically assess the computational results
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