ǂa ǂnovel two-stage error propagation model based on stereo DIC system uncertainty
Andraž Maček (Author), Bojan Starman (Author), Sam Coppieters (Author), Janez Urevc (Author), Miroslav Halilovič (Author)

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. .

Keywords

confidence intervals;nncertainty;full-field measurements;digital image correlation;mechanical testing;heterogeneous test;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 620.1/2:004.932
COBISS: 176555011 Link will open in a new window
ISSN: 0143-8166
Views: 186
Downloads: 32
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Other data

Secondary language: Slovenian
Secondary keywords: intervali zaupanja;negotovost;polje deformacij;korelacija digitalnih slik;mehanično testiranje;heterogeni test;
Type (COBISS): Article
Pages: str. 1-11
Volume: ǂVol. ǂ174
Issue: [article no.] 107958
Chronology: Mar. 2024
DOI: 10.1016/j.optlaseng.2023.107958
ID: 21548254