Verification of Plasticity Theory with Isotropic Hardening and Additive Decomposition of Left Deformation Tensor Using Digital Image Correlation System

Marcin Daniel Gajewski , Cezary Witold Ajdukiewicz , Andrzej Michał Piotrowski

Abstract

The development of measurement methods, and in particular digital image correlation (DIC) systems, which are designed to measure of entire displacements and deformations fields, opens up new areas of research. In general, the materials constitutive relations are formulated in such a way that material parameters could be determined with relatively simple experimental tests carried out on samples with uniform (approximately) stress and strain fields. Then it is possible to apply them to complex boundary value problems formulated e.g. in the small or large deformation theories. The application of DIC allows to verify the accuracy of their predictions by comparing the results of the experiment with solutions to boundary value problems obtained using the finite element method (FEM).
Author Marcin Daniel Gajewski (FCE / ICE)
Marcin Daniel Gajewski,,
- The Institute of Civil Engineering
, Cezary Witold Ajdukiewicz (FCE / ICE)
Cezary Witold Ajdukiewicz,,
- The Institute of Civil Engineering
, Andrzej Michał Piotrowski (FCE / ICE)
Andrzej Michał Piotrowski,,
- The Institute of Civil Engineering
Journal seriesSolid State Phenomena, ISSN 1012-0394, e-ISSN 1662-9779
Issue year2016
Vol240
Pages61-66
Publication size in sheets0.5
Keywords in English Aluminium Alloy, Digital Image Correlation, FEM, Large Deformation Plasticity
ASJC Classification2500 General Materials Science; 3104 Condensed Matter Physics; 3107 Atomic and Molecular Physics, and Optics
DOIDOI:10.4028/www.scientific.net/SSP.240.61
URL https://www.scientific.net/SSP.240.61
Languageen angielski
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 0.0, 12-07-2020, ArticleFromJournal
Ministerial score (2013-2016) = 5.0, 12-07-2020, ArticleFromJournal
Publication indicators Scopus Citations = 2; GS Citations = 3.0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.477
Citation count*3 (2020-08-24)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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