The University of Southampton
University of Southampton Institutional Repository

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full-field measurements

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full-field measurements
Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full-field measurements
Full‐field optical measurements like digital image correlation or the grid method have brought a paradigm shift in the experimental mechanics community. While inverse identification techniques like finite element model updating or the virtual fields method have been the object of significant developments, current test methods, inherited from the age of strain gauges or linear variable displacement transducers, are generally not well adapted to the rich information provided by these new measurement tools. This paper provides a review of the research dealing with the design and optimization of heterogeneous mechanical tests for the identification of material parameters from full‐field measurements, christened here Material Testing 2.0 (MT2.0).
Virtual Fields Method,, Finite Element Model Updating,, inverse identi�cation,, test design,, optimization,, full-�eld measurements,, MT2.0
1475-1305
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Grédiac, M.
fa87acbc-25a4-4275-99fd-97d838e9f60e
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Grédiac, M.
fa87acbc-25a4-4275-99fd-97d838e9f60e

Pierron, F. and Grédiac, M. (2021) Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full-field measurements. Strain, 57 (1), [e12370]. (doi:10.1111/str.12370).

Record type: Article

Abstract

Full‐field optical measurements like digital image correlation or the grid method have brought a paradigm shift in the experimental mechanics community. While inverse identification techniques like finite element model updating or the virtual fields method have been the object of significant developments, current test methods, inherited from the age of strain gauges or linear variable displacement transducers, are generally not well adapted to the rich information provided by these new measurement tools. This paper provides a review of the research dealing with the design and optimization of heterogeneous mechanical tests for the identification of material parameters from full‐field measurements, christened here Material Testing 2.0 (MT2.0).

Text
Papier_optimisation_essais_Final - Accepted Manuscript
Download (4MB)
Text
str.12370 - Version of Record
Available under License Creative Commons Attribution.
Download (26MB)

More information

Accepted/In Press date: 25 August 2020
e-pub ahead of print date: 23 September 2020
Published date: February 2021
Keywords: Virtual Fields Method,, Finite Element Model Updating,, inverse identi�cation,, test design,, optimization,, full-�eld measurements,, MT2.0

Identifiers

Local EPrints ID: 443792
URI: http://eprints.soton.ac.uk/id/eprint/443792
ISSN: 1475-1305
PURE UUID: 6ccbd09d-a84e-40f5-a89e-224c3f7ffb71
ORCID for F. Pierron: ORCID iD orcid.org/0000-0003-2813-4994

Catalogue record

Date deposited: 11 Sep 2020 16:41
Last modified: 17 Mar 2024 05:52

Export record

Altmetrics

Contributors

Author: F. Pierron ORCID iD
Author: M. Grédiac

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.

×