A hybrid framework for nonlinear dynamic simulations including full-field optical measurements and image decomposition algorithms

LAMPEAS, George and PASIALIS, Vasileios (2013). A hybrid framework for nonlinear dynamic simulations including full-field optical measurements and image decomposition algorithms. Journal of Strain Analysis for Engineering Design, 48 (1), 5-15.

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Abstract

Innovative designs of transport vehicles need to be validated in order to demonstrate reliability and provide confidence. It is normal practice to study the mechanical response of the structural elements by comparing numerical results obtained from finite element simulation models with results obtained from experiment. In this frame, the use of wholefield optical techniques has been proven successful in the validation of deformation, strain, or vibration modes. The strength of full-field optical techniques is that the entire displacement field can be acquired. The objective of this article is to integrate full-field optical measurement methodologies with state-of-the-art computational simulation techniques for nonlinear transient dynamic events. In this frame, composite car bonnet frame structures of dimensions about 1.8 m 30.8 m are considered. They have been tested in low-velocity mass-drop impact loading with impact energies ranging from 20 to 200 J. In parallel, simulation models of the car bonnet frame have been developed using layered shell elements. The Zernike shape descriptor approach was used to decompose numerical and experimental data into moments for comparison purposes. A very good agreement between numerical and experimental results was observed. Therefore, integration of numerical analysis with full-field optical measurements along with sophisticated comparison techniques can increase design reliability.

Item Type:	Article
Uncontrolled Keywords:	Digital Image Correlation, Zernike moment descriptor, Low-velocity impact tests
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Engineering Research
Identification Number:	https://doi.org/10.1177/0309324712462657
Page Range:	5-15
Depositing User:	Vasileios Pasialis
Date Deposited:	16 Nov 2016 14:01
Last Modified:	18 Mar 2021 04:01
URI:	https://shura.shu.ac.uk/id/eprint/13923

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