Cargando…

Crack Detection Zones: Computation and Validation

During the development of aerospace structures, typically many fatigue tests are conducted. During these tests, much effort is put into inspections in order to detect the onset of failure before complete failure. Strain sensor data may be used to reduce inspection effort. For this, a sufficient numb...

Descripción completa

Detalles Bibliográficos
Autores principales: Pfingstl, Simon, Steiner, Martin, Tusch, Olaf, Zimmermann, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249158/
https://www.ncbi.nlm.nih.gov/pubmed/32366002
http://dx.doi.org/10.3390/s20092568
_version_ 1783538539416256512
author Pfingstl, Simon
Steiner, Martin
Tusch, Olaf
Zimmermann, Markus
author_facet Pfingstl, Simon
Steiner, Martin
Tusch, Olaf
Zimmermann, Markus
author_sort Pfingstl, Simon
collection PubMed
description During the development of aerospace structures, typically many fatigue tests are conducted. During these tests, much effort is put into inspections in order to detect the onset of failure before complete failure. Strain sensor data may be used to reduce inspection effort. For this, a sufficient number of sensors need to be positioned appropriately to collect the relevant data. In order to minimize cost and effort associated with sensor positioning, the method proposed here aims at minimizing the number of necessary strain sensors while positioning them such that fatigue-induced damage can still be detected before complete failure. A suitable detection criterion is established as the relative change of strain amplitudes under cyclic loading. Then, the space of all possible crack lengths is explored. The regions where the detection criterion is satisfied before complete failure occurs are assembled into so-called detection zones. One sensor in this zone is sufficient to detect criticality. The applicability of the approach is demonstrated on a representative airplane structure that resembles a lower wing section. The method shows that four fatigue critical spots can be monitored using only one strain sensor in a non-intuitive position. Furthermore, we discuss two different strain measures for crack detection. The results of this paper can be used for reliable structural health monitoring using a minimum number of sensors.
format Online
Article
Text
id pubmed-7249158
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72491582020-06-10 Crack Detection Zones: Computation and Validation Pfingstl, Simon Steiner, Martin Tusch, Olaf Zimmermann, Markus Sensors (Basel) Article During the development of aerospace structures, typically many fatigue tests are conducted. During these tests, much effort is put into inspections in order to detect the onset of failure before complete failure. Strain sensor data may be used to reduce inspection effort. For this, a sufficient number of sensors need to be positioned appropriately to collect the relevant data. In order to minimize cost and effort associated with sensor positioning, the method proposed here aims at minimizing the number of necessary strain sensors while positioning them such that fatigue-induced damage can still be detected before complete failure. A suitable detection criterion is established as the relative change of strain amplitudes under cyclic loading. Then, the space of all possible crack lengths is explored. The regions where the detection criterion is satisfied before complete failure occurs are assembled into so-called detection zones. One sensor in this zone is sufficient to detect criticality. The applicability of the approach is demonstrated on a representative airplane structure that resembles a lower wing section. The method shows that four fatigue critical spots can be monitored using only one strain sensor in a non-intuitive position. Furthermore, we discuss two different strain measures for crack detection. The results of this paper can be used for reliable structural health monitoring using a minimum number of sensors. MDPI 2020-04-30 /pmc/articles/PMC7249158/ /pubmed/32366002 http://dx.doi.org/10.3390/s20092568 Text en © 2020 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
Pfingstl, Simon
Steiner, Martin
Tusch, Olaf
Zimmermann, Markus
Crack Detection Zones: Computation and Validation
title Crack Detection Zones: Computation and Validation
title_full Crack Detection Zones: Computation and Validation
title_fullStr Crack Detection Zones: Computation and Validation
title_full_unstemmed Crack Detection Zones: Computation and Validation
title_short Crack Detection Zones: Computation and Validation
title_sort crack detection zones: computation and validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249158/
https://www.ncbi.nlm.nih.gov/pubmed/32366002
http://dx.doi.org/10.3390/s20092568
work_keys_str_mv AT pfingstlsimon crackdetectionzonescomputationandvalidation
AT steinermartin crackdetectionzonescomputationandvalidation
AT tuscholaf crackdetectionzonescomputationandvalidation
AT zimmermannmarkus crackdetectionzonescomputationandvalidation