Special Issue "Advances in Digital Image Correlation (DIC)"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 28 February 2019

Special Issue Editors

Guest Editor
Dr. Jean-Noel Perie

Institut Clément Ader (ICA), IUT GMP Toulouse (Université de Toulouse), Toulouse 31077, France
Website | E-Mail
Interests: identification of constitutive parameters; full field measurements; digital image correlation; experimental mechanics; composite materials
Guest Editor
Dr. Jean-Charles Passieux

Institut Clément Ader (ICA), INSA Toulouse (Université de Toulouse), Toulouse 31077, France
Website | E-Mail
Interests: numerical methods in computational and experimental mechanics; global digital image correlation; identification of mechanical properties; high performance computing

Special Issue Information

Dear Colleagues,

Digital Image Correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because it can take advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, Digital Volume Correlation now gives access to volumetric data. It makes it possible to study the behavior of materials and structures.

However, using DIC data for quantitatively validating models or identifying many constitutive parameters accurately is still not straightforward. One of the reasons lies in the tricky compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still an open question. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges.

In this Special Issue, we would like to show how recent developments of algorithms or new methodologies could help to reduce the amount of measurement and identification uncertainties, to deal with the huge amount of data or to bridge the gap between measurements and simulations.

Dr. Jean-Noel Perie
Dr. Jean-Charles Passieux
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access bimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Digital Image Correlation
  • Stereo Digital Image Correlation
  • Digital Volume Correlation

Published Papers (1 paper)

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Research

Open AccessArticle Measurement of Super-Pressure Balloon Deformation with Simplified Digital Image Correlation
Appl. Sci. 2018, 8(10), 2009; https://doi.org/10.3390/app8102009
Received: 28 August 2018 / Revised: 14 October 2018 / Accepted: 19 October 2018 / Published: 22 October 2018
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Abstract
A super pressure balloon (SPB) is an aerostatic balloon that can fly at a constant altitude for an extended period. Japan Aerospace Exploration Agency (JAXA) has been developing a light-weight, high strength balloon made of thin polyethylene films and diamond-shaped net with high
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A super pressure balloon (SPB) is an aerostatic balloon that can fly at a constant altitude for an extended period. Japan Aerospace Exploration Agency (JAXA) has been developing a light-weight, high strength balloon made of thin polyethylene films and diamond-shaped net with high tensile fibers. Previous investigations proved that strength requirements on SPB members are satisfied even though the net covering the SPB sometimes becomes damaged during the inflation test. This may be due to non-uniform expansion, which causes stress concentration, however, no method exists to confirm this hypothesis. In this study, we tested a new method called Simplified Digital Image Correlation method (SiDIC) to check if it can measure the displacement of the SPB by using a rubber balloon. After measuring the measurement accuracy of the Digital Image Correlation method (DIC) and SiDIC, we applied both DIC and SiDIC to a rubber balloon covered just with the net. Interestingly, SiDIC entailed a smaller amount of data but could measure the deformation more accurately than DIC. In addition, assuming the stress concentration, one part of the net was bonded to the balloon to restrict the deformation. SiDIC properly identified the undeformed region. Full article
(This article belongs to the Special Issue Advances in Digital Image Correlation (DIC))
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