Cargando…

Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error

Measurement of stress levels from an in-service structure can provide important and useful information regarding the current state of a structure. The stress relaxation method (SRM) is the most conventional and practical method, which has been widely accepted for measuring residual stresses in metal...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Junhwa, Jeong, Seunghoo, Lee, Young-Joo, Sim, Sung-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960850/
https://www.ncbi.nlm.nih.gov/pubmed/31842515
http://dx.doi.org/10.3390/s19245503
_version_ 1783487864646926336
author Lee, Junhwa
Jeong, Seunghoo
Lee, Young-Joo
Sim, Sung-Han
author_facet Lee, Junhwa
Jeong, Seunghoo
Lee, Young-Joo
Sim, Sung-Han
author_sort Lee, Junhwa
collection PubMed
description Measurement of stress levels from an in-service structure can provide important and useful information regarding the current state of a structure. The stress relaxation method (SRM) is the most conventional and practical method, which has been widely accepted for measuring residual stresses in metallic materials. The SRM showed strong potential for stress estimation of civil engineering structures, when combined with digital image correlation (DIC). However, the SRM/DIC methods studied thus far have practical issues regarding camera vibration during hole drilling. To minimize the error induced by the camera motion, the imaging system is installed at a distance from the specimen resulting in the low pixel density and the large extent of the inflicted damage. This study proposes an SRM/DIC-based stress estimation method that allows the camera to be removed during hole drilling and relocated to take the after-drilling image. Since the imaging system can be placed as close to the specimen as possible, a high pixel density can be achieved such that subtle displacement perturbation introduced by a small damage can be acquired by DIC. This study provides a detailed mathematical formulation for removing the camera relocation-induced false displacement field in the DIC result. The proposed method is validated numerically and experimentally.
format Online
Article
Text
id pubmed-6960850
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-69608502020-01-24 Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error Lee, Junhwa Jeong, Seunghoo Lee, Young-Joo Sim, Sung-Han Sensors (Basel) Article Measurement of stress levels from an in-service structure can provide important and useful information regarding the current state of a structure. The stress relaxation method (SRM) is the most conventional and practical method, which has been widely accepted for measuring residual stresses in metallic materials. The SRM showed strong potential for stress estimation of civil engineering structures, when combined with digital image correlation (DIC). However, the SRM/DIC methods studied thus far have practical issues regarding camera vibration during hole drilling. To minimize the error induced by the camera motion, the imaging system is installed at a distance from the specimen resulting in the low pixel density and the large extent of the inflicted damage. This study proposes an SRM/DIC-based stress estimation method that allows the camera to be removed during hole drilling and relocated to take the after-drilling image. Since the imaging system can be placed as close to the specimen as possible, a high pixel density can be achieved such that subtle displacement perturbation introduced by a small damage can be acquired by DIC. This study provides a detailed mathematical formulation for removing the camera relocation-induced false displacement field in the DIC result. The proposed method is validated numerically and experimentally. MDPI 2019-12-12 /pmc/articles/PMC6960850/ /pubmed/31842515 http://dx.doi.org/10.3390/s19245503 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Junhwa
Jeong, Seunghoo
Lee, Young-Joo
Sim, Sung-Han
Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error
title Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error
title_full Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error
title_fullStr Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error
title_full_unstemmed Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error
title_short Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error
title_sort stress estimation using digital image correlation with compensation of camera motion-induced error
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960850/
https://www.ncbi.nlm.nih.gov/pubmed/31842515
http://dx.doi.org/10.3390/s19245503
work_keys_str_mv AT leejunhwa stressestimationusingdigitalimagecorrelationwithcompensationofcameramotioninducederror
AT jeongseunghoo stressestimationusingdigitalimagecorrelationwithcompensationofcameramotioninducederror
AT leeyoungjoo stressestimationusingdigitalimagecorrelationwithcompensationofcameramotioninducederror
AT simsunghan stressestimationusingdigitalimagecorrelationwithcompensationofcameramotioninducederror