Fourier-series-based Virtual Fields Method for the identification of 3-D stiffness distributions

Conference item


Nguyen, TT, Huntley, JM, Ashcroft, IA, Ruiz, PD and Pierron, F (2014). Fourier-series-based Virtual Fields Method for the identification of 3-D stiffness distributions. 16th International Conference on Experimental Mechanics (ICEM16). Cambridge 07 - 11 Jul 2014 London South Bank University.
AuthorsNguyen, TT, Huntley, JM, Ashcroft, IA, Ruiz, PD and Pierron, F
Abstract

The virtual fields method (VFM) is a powerful technique for determining stiffness distributions of a sample, based on
measured full-field strain data. The advantage of the VFM over many other methods is its ability to solve inverse
problems of this type without any iteration. A key step in any application of the VFM is the selection of the virtual
fields. Several techniques are based on the use of polynomials of spatial variables (either on the whole domain or in a
piecewise form), and the material properties are considered as having single values (homogeneous) within the domain.
The first attempt to parameterise the material properties as a function of spatial variables was proposed in for
reconstruction of the stiffness map of a plate with impact damage.

In this paper, we retain the basic concepts underlying the VFM but approach the parameterisation of the material
properties in the spatial frequency, rather than spatial, domain by performing a 3-D Fourier series expansion of the
stiffness distribution over the region of interest. Furthermore, the virtual fields are not selected as polynomials of spatial
variables as in the previous VFM literature, but from a set of simple cosine or sine functions of different spatial
frequencies. The abbreviation F-VFM will be used to denote the VFM in which both a Fourier series is used for the
material property parameterization, and cosine/sine functions for the virtual fields. The F-VFM was developed
originally for 2-D geometries; here it is extended to volumetric datasets resulting, for example, from measurements
with Digital Volume Correlation or Phase Contrast Magnetic Resonance Imaging.

Year2014
PublisherLondon South Bank University
Accepted author manuscript
License
CC BY 4.0
Publication dates
Print07 Jul 2014
Publication process dates
Deposited19 Dec 2017
Accepted14 Feb 2014
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https://openresearch.lsbu.ac.uk/item/877z9

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