Date
2020-12-31Subject
620 Engineering AluminiumblechStructural Health MonitoringRissSchadenfrüherkennungParameteridentifikationInverses ProblemSpannungsintensitätsfaktorMetadata
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Aufsatz
Parameter identification of crack-like notches in aluminum plates based on strain gauge data
Abstract
The identification of crack parameters and stress intensity factors in aluminum plates under tensile loading is in the focus of the presented research. In this regard, data of strain gauges, distributed along the edges of the samples, are interpreted. In the experiments, slit-shaped notches take the role of cracks located in the interior of the specimens. Their positions, inclinations and lengths as well as the magnitudes of external loadings are identified solving the inverse problems of cracked plates and associated strain fields. Exploiting the powerful approach of distributed dislocations, based on Green’s functions provided by the framework of linear elasticity, in conjunction with a genetic algorithm, allows for a very efficient identification of the sought parameters, thus being suitable for in situ monitoring of engineering structures. Tested samples exhibit one or two straight crack-like notches as well as a kinked one.
Citation
In: Structural Health Monitoring Volume 20 / Issue 6 (2020-12-31) , S. 3227-3238 ; eissn:1741-3168Additional Information
Allianz-/NationallizenzCitation
@article{doi:10.17170/kobra-202303297735,
author={Boukellif, Ramdane and Ricoeur, Andreas and Oxe, Matthias},
title={Parameter identification of crack-like notches in aluminum plates based on strain gauge data},
journal={Structural Health Monitoring},
year={2020}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2020$n2020 1500 1/eng 2050 ##0##http://hdl.handle.net/123456789/14548 3000 Boukellif, Ramdane 3010 Ricoeur, Andreas 3010 Oxe, Matthias 4000 Parameter identification of crack-like notches in aluminum plates based on strain gauge data / Boukellif, Ramdane 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/14548=x R 4204 \$dAufsatz 4170 5550 {{Aluminiumblech}} 5550 {{Structural Health Monitoring}} 5550 {{Riss}} 5550 {{Schadenfrüherkennung}} 5550 {{Parameteridentifikation}} 5550 {{Inverses Problem}} 5550 {{Spannungsintensitätsfaktor}} 7136 ##0##http://hdl.handle.net/123456789/14548
2023-03-30T11:47:41Z 2023-03-30T11:47:41Z 2020-12-31 doi:10.17170/kobra-202303297735 http://hdl.handle.net/123456789/14548 Allianz-/Nationallizenz eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ distributed dislocations structural health monitoring crack detection inverse problem 620 Parameter identification of crack-like notches in aluminum plates based on strain gauge data Aufsatz The identification of crack parameters and stress intensity factors in aluminum plates under tensile loading is in the focus of the presented research. In this regard, data of strain gauges, distributed along the edges of the samples, are interpreted. In the experiments, slit-shaped notches take the role of cracks located in the interior of the specimens. Their positions, inclinations and lengths as well as the magnitudes of external loadings are identified solving the inverse problems of cracked plates and associated strain fields. Exploiting the powerful approach of distributed dislocations, based on Green’s functions provided by the framework of linear elasticity, in conjunction with a genetic algorithm, allows for a very efficient identification of the sought parameters, thus being suitable for in situ monitoring of engineering structures. Tested samples exhibit one or two straight crack-like notches as well as a kinked one. open access Boukellif, Ramdane Ricoeur, Andreas Oxe, Matthias doi:10.1177/1475921720981845 Aluminiumblech Structural Health Monitoring Riss Schadenfrüherkennung Parameteridentifikation Inverses Problem Spannungsintensitätsfaktor publishedVersion eissn:1741-3168 Issue 6 Structural Health Monitoring 3227-3238 Volume 20 false
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