A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm

In this paper, a modified direct current potential drop (DCPD) method for real-time measurement of the length, the inclination and the position of cracks is presented. Based on the proposed configuration, it is possible to process the data acquired by continuously measuring the change in the electri...

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Autores principales:	Skrinis Evangelos, Kalligeros Christos, Tsolakis Antonios, Spitas Vasilios
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	crack fatigue structural health monitoring potential drop method real-time measurement Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/d8feeef5cf504c66968da812cfac9059
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spelling	oai:doaj.org-article:d8feeef5cf504c66968da812cfac90592021-12-02T17:13:46ZA customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm2261-236X10.1051/matecconf/202134902018https://doaj.org/article/d8feeef5cf504c66968da812cfac90592021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_02018.pdfhttps://doaj.org/toc/2261-236XIn this paper, a modified direct current potential drop (DCPD) method for real-time measurement of the length, the inclination and the position of cracks is presented. Based on the proposed configuration, it is possible to process the data acquired by continuously measuring the change in the electrical resistance (potential drop) between specific points on the specimen in real time and correlate them with the propagation of the crack and thus identifying its crucial characteristics. Furthermore, many aspects that affect the electromagnetic field inside materials have been identified. In that way the influence of unwanted factors can be significantly reduced which has led to a better understanding of the relation between the implemented voltage values and the fracture itself. Therefore, conclusions are drawn about the structural integrity of any given specimen through a risk assessment after the crack characteristics have been calculated. In order to achieve this, a variety of techniques were implemented including the development of a stochastic algorithm along with a customized experimental layout so as to accomplish high accuracy for the prediction model as well as robustness towards other influencing parameters such as temperature and humidity.Skrinis EvangelosKalligeros ChristosTsolakis AntoniosSpitas VasiliosEDP Sciencesarticlecrackfatiguestructural health monitoringpotential drop methodreal-time measurementEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 349, p 02018 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	crack fatigue structural health monitoring potential drop method real-time measurement Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	crack fatigue structural health monitoring potential drop method real-time measurement Engineering (General). Civil engineering (General) TA1-2040 Skrinis Evangelos Kalligeros Christos Tsolakis Antonios Spitas Vasilios A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
description	In this paper, a modified direct current potential drop (DCPD) method for real-time measurement of the length, the inclination and the position of cracks is presented. Based on the proposed configuration, it is possible to process the data acquired by continuously measuring the change in the electrical resistance (potential drop) between specific points on the specimen in real time and correlate them with the propagation of the crack and thus identifying its crucial characteristics. Furthermore, many aspects that affect the electromagnetic field inside materials have been identified. In that way the influence of unwanted factors can be significantly reduced which has led to a better understanding of the relation between the implemented voltage values and the fracture itself. Therefore, conclusions are drawn about the structural integrity of any given specimen through a risk assessment after the crack characteristics have been calculated. In order to achieve this, a variety of techniques were implemented including the development of a stochastic algorithm along with a customized experimental layout so as to accomplish high accuracy for the prediction model as well as robustness towards other influencing parameters such as temperature and humidity.
format	article
author	Skrinis Evangelos Kalligeros Christos Tsolakis Antonios Spitas Vasilios
author_facet	Skrinis Evangelos Kalligeros Christos Tsolakis Antonios Spitas Vasilios
author_sort	Skrinis Evangelos
title	A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
title_short	A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
title_full	A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
title_fullStr	A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
title_full_unstemmed	A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
title_sort	customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/d8feeef5cf504c66968da812cfac9059
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A customized electrical potential difference method for in situ monitoring of propagating cracks using a stochastic algorithm

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