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Confidence intervals of inversely identified material model parameters : a novel two-stage error propagation model based on stereo DIC system uncertainty
ID
Maček, Andraž
(
Author
),
ID
Starman, Bojan
(
Author
),
ID
Coppieters, Sam
(
Author
),
ID
Urevc, Janez
(
Author
),
ID
Halilovič, Miroslav
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S0143816623004876
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Abstract
Digital image correlation (DIC) is a powerful tool for characterising materials and determining material model parameters. To assess the reliability of the full-field measurement-based inverse identification procedures, it is crucial to investigate the impact of the measurement errors on the identified material model parameters. Literature indicates that conventional error propagation models, which rely on Gaussian noise-contaminated data, significantly overestimate the confidence for inversely identified material model parameters, resulting in misleadingly narrow confidence intervals. A more precise assessment of systematic errors originating from the experimental setup leads to an improved prediction of the confidence intervals, but this requires specific information about the DIC equipment, post-processing details, and a skilled experimentalist. In this work, we propose an alternative two-stage error propagation model that yields more realistic confidence interval predictions based solely on a database of past mechanical experiments conducted with the specific stereo DIC system set up in a particular way. We have validated the proposed procedure numerically using the open-hole test and an orthotropic elastic material model. Our predictions reveal a non-Gaussian probability distribution of the inversely identified material model parameters, with confidence intervals considerably wider than those obtained by considering random Gaussian noise. Furthermore, these predictions were experimentally validated in an extensive experimental campaign investigating a pultruded carbon fibre epoxy composite.
Language:
English
Keywords:
confidence intervals
,
uncertainty
,
full-field measurements
,
digital image correlation
,
mechanical testing
,
heterogeneous test
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
11 str.
Numbering:
Vol. 174, art. 107958
PID:
20.500.12556/RUL-152827
UDC:
620.1/2:004.932
ISSN on article:
0143-8166
DOI:
10.1016/j.optlaseng.2023.107958
COBISS.SI-ID:
176555011
Publication date in RUL:
08.12.2023
Views:
836
Downloads:
74
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Record is a part of a journal
Title:
Optics and lasers in engineering
Shortened title:
Opt. lasers eng.
Publisher:
Elsevier
ISSN:
0143-8166
COBISS.SI-ID:
6399749
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
intervali zaupanja
,
negotovost
,
polje deformacij
,
korelacija digitalnih slik
,
mehanično testiranje
,
heterogeni test
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0263
Name:
Mehanika v tehniki
Funder:
EC - European Commission
Funding programme:
Research Fund for Coal and Steel
Project number:
888153
Acronym:
vForm-xSteels
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