Andraž Maček (Author), Janez Urevc (Author), Miroslav Halilovič (Author)

Abstract

In the paper, an alignment methodology of finite element and full-field measurement data of planar specimens is presented. The alignment procedure represents an essential part of modern material response characterisation using heterogeneous strain-field specimens. The methodology addresses both the specimen recognition from a measurement`s image and the alignment procedure and is designed to be applied on a single measurement system. This is essential for its practical application because both processes, shape recognition and alignment, must be performed only after the specimen is fully prepared for the digital image correlation (DIC) measurements (white background and black speckles) and placed into a testing machine. The specimen can be observed with a single camera or with a multicamera system. The robustness of the alignment method is presented on a treatment of a specimen with a metamaterial-like structure and compared with the well-known iterative closest point (ICP) algorithm. The performance of the methodology is also demonstrated on a real DIC application.

Keywords

full-field measurements;digital image correlation;specimen shape recognition;surface registration;iterative closest point;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 539.37:004.932(045)
COBISS: 65014787 Link will open in a new window
ISSN: 0039-2480
Views: 507
Downloads: 108
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Other data

Secondary language: Slovenian
Secondary title: Prepoznava oblike planih preizkušancev z uporabo optičnih metod merjenja celotnih polj deformacij in poravnava oblike z uporabo minimizacije odstopanja preslikave
Secondary keywords: meritve polja deformacij;korelacija digitalnih slik;prepoznava oblike preizkušanca;poravnava oblik;inverzna identifikacija;heterogeno polje deformacij;
Type (COBISS): Article
Pages: str. 203-213, SI 29
Volume: ǂVol. ǂ67
Issue: ǂno. ǂ5
Chronology: May 2021
DOI: 10.5545/sv-jme.2021.7111
ID: 24920739