Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Latin American journal of solids and structures (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252017001202141 |
Resumo: | Abstract This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability. |
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Latin American journal of solids and structures (Online) |
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Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction SegmentsFatiguesignal processingstrain signalvariable amplitudeWeibull distributionAbstract This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability.Associação Brasileira de Ciências Mecânicas2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252017001202141Latin American Journal of Solids and Structures v.14 n.12 2017reponame:Latin American journal of solids and structures (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/1679-78254036info:eu-repo/semantics/openAccessYunoh,M. F. M.Abdullah,S.Saad,M. H. M.Nopiah,Z. M.Nuawi,M. Z.eng2018-01-24T00:00:00Zoai:scielo:S1679-78252017001202141Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1679-7825&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.phpabcm@abcm.org.br||maralves@usp.br1679-78251679-7817opendoar:2018-01-24T00:00Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false |
dc.title.none.fl_str_mv |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
title |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
spellingShingle |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments Yunoh,M. F. M. Fatigue signal processing strain signal variable amplitude Weibull distribution |
title_short |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
title_full |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
title_fullStr |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
title_full_unstemmed |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
title_sort |
Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments |
author |
Yunoh,M. F. M. |
author_facet |
Yunoh,M. F. M. Abdullah,S. Saad,M. H. M. Nopiah,Z. M. Nuawi,M. Z. |
author_role |
author |
author2 |
Abdullah,S. Saad,M. H. M. Nopiah,Z. M. Nuawi,M. Z. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Yunoh,M. F. M. Abdullah,S. Saad,M. H. M. Nopiah,Z. M. Nuawi,M. Z. |
dc.subject.por.fl_str_mv |
Fatigue signal processing strain signal variable amplitude Weibull distribution |
topic |
Fatigue signal processing strain signal variable amplitude Weibull distribution |
description |
Abstract This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252017001202141 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252017001202141 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1679-78254036 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Ciências Mecânicas |
publisher.none.fl_str_mv |
Associação Brasileira de Ciências Mecânicas |
dc.source.none.fl_str_mv |
Latin American Journal of Solids and Structures v.14 n.12 2017 reponame:Latin American journal of solids and structures (Online) instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) instacron:ABCM |
instname_str |
Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
instacron_str |
ABCM |
institution |
ABCM |
reponame_str |
Latin American journal of solids and structures (Online) |
collection |
Latin American journal of solids and structures (Online) |
repository.name.fl_str_mv |
Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
repository.mail.fl_str_mv |
abcm@abcm.org.br||maralves@usp.br |
_version_ |
1754302889256288256 |