The University of Southampton
University of Southampton Institutional Repository

Comparison of two approaches for differentiating full-field data in solid mechanics

Avril, Stéphane, Feissel, Pierre, Pierron, Fabrice and Villon, Pierre (2009) Comparison of two approaches for differentiating full-field data in solid mechanics Measurement Science and Technology, 21, (1), 11pp. (doi:10.1088/0957-0233/21/1/015703).

Record type: Article


In this study, the issue of reconstructing the gradients of noisy full-field data is addressed within the framework of solid mechanics. Two approaches are considered, a global one based on finite element approximation (FEA) and a local one based on diffuse approximation (DA). For both approaches, it is proposed to monitor locally the filtering effect in order to adapt the uncertainty to the local signal to noise ratio. Both approaches are applied to a case study which is commonly considered as difficult in solid mechanics (open-hole tensile test on a composite laminate). Both DA and FEA are successful for detecting local subsurface damage from the measured noisy displacement fields. Indications are also provided about the compared performances of DA and FEA. It is shown that DA is more robust, but the downside is that it is also more CPU time consuming.

Full text not available from this repository.

More information

Published date: 7 December 2009
Additional Information: 15703
Keywords: full-field measurements, numerical differentiation, measurement uncertainty
Organisations: Engineering Mats & Surface Engineerg Gp


Local EPrints ID: 210605
ISSN: 1361-6501
PURE UUID: 2867aee3-5504-49ac-9744-aa2ba0424801
ORCID for Fabrice Pierron: ORCID iD

Catalogue record

Date deposited: 13 Feb 2012 13:57
Last modified: 18 Jul 2017 10:45

Export record



Author: Stéphane Avril
Author: Pierre Feissel
Author: Fabrice Pierron ORCID iD
Author: Pierre Villon

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 supports OAI 2.0 with a base URL of

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.