Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields

Measuring small-magnitude strain fields using a digital image correlation (DIC) technique is challenging, due to the noise-signal ratio in strain maps. Here, we determined the level of accuracy achievable in measuring small-magnitude (<0.1%) homogeneous strain fields. We investigated differen...

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Main Authors: Alice Acciaioli, Giacomo Lionello, Massimiliano Baleani
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Materials
Subjects:
Online Access:http://www.mdpi.com/1996-1944/11/5/751
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spelling doaj-e2d99cb8e2bb4749bd830d97b9f9a4872020-11-25T00:14:47ZengMDPI AGMaterials1996-19442018-05-0111575110.3390/ma11050751ma11050751Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain FieldsAlice Acciaioli0Giacomo Lionello1Massimiliano Baleani2IRCCS—Istituto Ortopedico Rizzoli, Laboratorio di Tecnologia Medica, 40136 Bologna, ItalyIRCCS—Istituto Ortopedico Rizzoli, Laboratorio di Tecnologia Medica, 40136 Bologna, ItalyIRCCS—Istituto Ortopedico Rizzoli, Laboratorio di Tecnologia Medica, 40136 Bologna, ItalyMeasuring small-magnitude strain fields using a digital image correlation (DIC) technique is challenging, due to the noise-signal ratio in strain maps. Here, we determined the level of accuracy achievable in measuring small-magnitude (<0.1%) homogeneous strain fields. We investigated different sets of parameters for image processing and imaging pre-selection, based on single-image noise level. The trueness of DIC was assessed by comparison of Young’s modulus (E) and Poisson’s ratio (ν) with values obtained from strain gauge measurements. Repeatability was improved, on average, by 20–25% with experimentally-determined optimal parameters and image pre-selection. Despite this, the intra- and inter-specimen repeatability of strain gauge measurements was 5 and 2.5 times better than DIC, respectively. Moreover, although trueness was also improved, on average, by 30–45%, DIC consistently overestimated the two material parameters by 1.8% and 3.2% for E and ν, respectively. DIC is a suitable option to measure small-magnitude homogeneous strain fields, bearing in mind the limitations in achievable accuracy.http://www.mdpi.com/1996-1944/11/5/751digital image correlationhomogeneous strainsmall deformation levelaccuracyprecisioncalcium phosphate cements
collection DOAJ
language English
format Article
sources DOAJ
author Alice Acciaioli
Giacomo Lionello
Massimiliano Baleani
spellingShingle Alice Acciaioli
Giacomo Lionello
Massimiliano Baleani
Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields
Materials
digital image correlation
homogeneous strain
small deformation level
accuracy
precision
calcium phosphate cements
author_facet Alice Acciaioli
Giacomo Lionello
Massimiliano Baleani
author_sort Alice Acciaioli
title Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields
title_short Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields
title_full Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields
title_fullStr Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields
title_full_unstemmed Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields
title_sort experimentally achievable accuracy using a digital image correlation technique in measuring small-magnitude (<0.1%) homogeneous strain fields
publisher MDPI AG
series Materials
issn 1996-1944
publishDate 2018-05-01
description Measuring small-magnitude strain fields using a digital image correlation (DIC) technique is challenging, due to the noise-signal ratio in strain maps. Here, we determined the level of accuracy achievable in measuring small-magnitude (<0.1%) homogeneous strain fields. We investigated different sets of parameters for image processing and imaging pre-selection, based on single-image noise level. The trueness of DIC was assessed by comparison of Young’s modulus (E) and Poisson’s ratio (ν) with values obtained from strain gauge measurements. Repeatability was improved, on average, by 20–25% with experimentally-determined optimal parameters and image pre-selection. Despite this, the intra- and inter-specimen repeatability of strain gauge measurements was 5 and 2.5 times better than DIC, respectively. Moreover, although trueness was also improved, on average, by 30–45%, DIC consistently overestimated the two material parameters by 1.8% and 3.2% for E and ν, respectively. DIC is a suitable option to measure small-magnitude homogeneous strain fields, bearing in mind the limitations in achievable accuracy.
topic digital image correlation
homogeneous strain
small deformation level
accuracy
precision
calcium phosphate cements
url http://www.mdpi.com/1996-1944/11/5/751
work_keys_str_mv AT aliceacciaioli experimentallyachievableaccuracyusingadigitalimagecorrelationtechniqueinmeasuringsmallmagnitudelt01homogeneousstrainfields
AT giacomolionello experimentallyachievableaccuracyusingadigitalimagecorrelationtechniqueinmeasuringsmallmagnitudelt01homogeneousstrainfields
AT massimilianobaleani experimentallyachievableaccuracyusingadigitalimagecorrelationtechniqueinmeasuringsmallmagnitudelt01homogeneousstrainfields
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