The University of Southampton
University of Southampton Institutional Repository

3D heterogeneous stiffness reconstruction using MRI and the Virtual Fields Method

Avril, S., Huntley, J.M., Pierron, F. and Steele, D.D. (2008) 3D heterogeneous stiffness reconstruction using MRI and the Virtual Fields Method [in special issue: Inverse Problems in Experimental Mechanics] Experimental Mechanics, 48, (4), pp. 479-494. (doi:10.1007/s11340-008-9128-2).

Record type: Article

Abstract

The first extension of the virtual fields
method to the reconstruction of heterogeneous stiffness
properties from 3D bulk full-field displacement
data is presented in this paper. Data are provided by
Magnetic Resonance Imaging (MRI). Two main issues
are addressed: 1. the identification of the stiffness ratio
between two different media in a heterogeneous
solid; 2. the reconstruction of stiffness heterogeneities
buried in a heterogeneous solid. The approach is based
on a finite element discretization of the equilibrium
equations. It is tested on experimental full-field data
obtained on a phantom with the stimulated echo MRI
technique. The phantom is made of a stiff spherical
inclusion buried within a lower modulus material. Preliminary
independent tests showed that the material of
the inclusion was four times stiffer than the surrounding
material. This ratio value is correctly identified by
our approach directly on the phantom with the MRI
data. Moreover, the modulus distribution is promisingly
reconstructed across the whole investigated volume.
However, the resulting modulus distribution is
highly variable. This is explained by the fact that the approach relies on a second order differentiation of the
data, which tends to amplify noise. Noise is significantly
reduced by using appropriate filtering algorithms.

Full text not available from this repository.

More information

e-pub ahead of print date: 6 June 2008
Published date: August 2008
Keywords: material parameter identification, heterogeneous weld zone, virtual fields method, computer vision, digital image correlation
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 210623
URI: http://eprints.soton.ac.uk/id/eprint/210623
ISSN: 1741-2765
PURE UUID: 55c03533-2318-4ae1-a3a4-4983aa648700
ORCID for F. Pierron: ORCID iD orcid.org/0000-0003-2813-4994

Catalogue record

Date deposited: 14 Feb 2012 17:07
Last modified: 18 Jul 2017 10:45

Export record

Altmetrics

Contributors

Author: S. Avril
Author: J.M. Huntley
Author: F. Pierron ORCID iD
Author: D.D. Steele

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×