A comparative study of the predictive capability of multiaxial stress-based fatigue criteria
Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed b...
Ausführliche Beschreibung
Autor*in: |
Peixoto, Thiago Abreu [verfasserIn] Castro, Tiago Lima [verfasserIn] Pereira, Marcos Venicius [verfasserIn] Darwish, Fathi Aref [verfasserIn] de Carvalho, Bruno Felix [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Anmerkung: |
© The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Journal of the Brazilian Society of Mechanical Sciences and Engineering - Springer Berlin Heidelberg, 2003, 46(2024), 10 vom: 04. Sept. |
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Übergeordnetes Werk: |
volume:46 ; year:2024 ; number:10 ; day:04 ; month:09 |
Links: |
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DOI / URN: |
10.1007/s40430-024-05140-1 |
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Katalog-ID: |
SPR057216703 |
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520 | |a Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. | ||
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650 | 4 | |a Combined synchronous bending and torsion |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Pereira, Marcos Venicius |e verfasserin |0 (orcid)0000-0002-8260-8786 |4 aut | |
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700 | 1 | |a de Carvalho, Bruno Felix |e verfasserin |0 (orcid)0000-0002-5047-4293 |4 aut | |
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10.1007/s40430-024-05140-1 doi (DE-627)SPR057216703 (SPR)s40430-024-05140-1-e DE-627 ger DE-627 rakwb eng 600 620 670 VZ 52.00 bkl Peixoto, Thiago Abreu verfasserin (orcid)0000-0003-3683-1116 aut A comparative study of the predictive capability of multiaxial stress-based fatigue criteria 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. Fatigue resistance limits (dpeaa)DE-He213 Combined synchronous bending and torsion (dpeaa)DE-He213 Mean normal stress (dpeaa)DE-He213 Mean shear stress (dpeaa)DE-He213 Error index dispersion (dpeaa)DE-He213 Frequency histograms (dpeaa)DE-He213 Castro, Tiago Lima verfasserin (orcid)0000-0002-9269-3574 aut Pereira, Marcos Venicius verfasserin (orcid)0000-0002-8260-8786 aut Darwish, Fathi Aref verfasserin aut de Carvalho, Bruno Felix verfasserin (orcid)0000-0002-5047-4293 aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Berlin Heidelberg, 2003 46(2024), 10 vom: 04. Sept. (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:46 year:2024 number:10 day:04 month:09 https://dx.doi.org/10.1007/s40430-024-05140-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.00 VZ AR 46 2024 10 04 09 |
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10.1007/s40430-024-05140-1 doi (DE-627)SPR057216703 (SPR)s40430-024-05140-1-e DE-627 ger DE-627 rakwb eng 600 620 670 VZ 52.00 bkl Peixoto, Thiago Abreu verfasserin (orcid)0000-0003-3683-1116 aut A comparative study of the predictive capability of multiaxial stress-based fatigue criteria 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. Fatigue resistance limits (dpeaa)DE-He213 Combined synchronous bending and torsion (dpeaa)DE-He213 Mean normal stress (dpeaa)DE-He213 Mean shear stress (dpeaa)DE-He213 Error index dispersion (dpeaa)DE-He213 Frequency histograms (dpeaa)DE-He213 Castro, Tiago Lima verfasserin (orcid)0000-0002-9269-3574 aut Pereira, Marcos Venicius verfasserin (orcid)0000-0002-8260-8786 aut Darwish, Fathi Aref verfasserin aut de Carvalho, Bruno Felix verfasserin (orcid)0000-0002-5047-4293 aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Berlin Heidelberg, 2003 46(2024), 10 vom: 04. Sept. (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:46 year:2024 number:10 day:04 month:09 https://dx.doi.org/10.1007/s40430-024-05140-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.00 VZ AR 46 2024 10 04 09 |
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10.1007/s40430-024-05140-1 doi (DE-627)SPR057216703 (SPR)s40430-024-05140-1-e DE-627 ger DE-627 rakwb eng 600 620 670 VZ 52.00 bkl Peixoto, Thiago Abreu verfasserin (orcid)0000-0003-3683-1116 aut A comparative study of the predictive capability of multiaxial stress-based fatigue criteria 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. Fatigue resistance limits (dpeaa)DE-He213 Combined synchronous bending and torsion (dpeaa)DE-He213 Mean normal stress (dpeaa)DE-He213 Mean shear stress (dpeaa)DE-He213 Error index dispersion (dpeaa)DE-He213 Frequency histograms (dpeaa)DE-He213 Castro, Tiago Lima verfasserin (orcid)0000-0002-9269-3574 aut Pereira, Marcos Venicius verfasserin (orcid)0000-0002-8260-8786 aut Darwish, Fathi Aref verfasserin aut de Carvalho, Bruno Felix verfasserin (orcid)0000-0002-5047-4293 aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Berlin Heidelberg, 2003 46(2024), 10 vom: 04. Sept. (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:46 year:2024 number:10 day:04 month:09 https://dx.doi.org/10.1007/s40430-024-05140-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.00 VZ AR 46 2024 10 04 09 |
allfieldsGer |
10.1007/s40430-024-05140-1 doi (DE-627)SPR057216703 (SPR)s40430-024-05140-1-e DE-627 ger DE-627 rakwb eng 600 620 670 VZ 52.00 bkl Peixoto, Thiago Abreu verfasserin (orcid)0000-0003-3683-1116 aut A comparative study of the predictive capability of multiaxial stress-based fatigue criteria 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. Fatigue resistance limits (dpeaa)DE-He213 Combined synchronous bending and torsion (dpeaa)DE-He213 Mean normal stress (dpeaa)DE-He213 Mean shear stress (dpeaa)DE-He213 Error index dispersion (dpeaa)DE-He213 Frequency histograms (dpeaa)DE-He213 Castro, Tiago Lima verfasserin (orcid)0000-0002-9269-3574 aut Pereira, Marcos Venicius verfasserin (orcid)0000-0002-8260-8786 aut Darwish, Fathi Aref verfasserin aut de Carvalho, Bruno Felix verfasserin (orcid)0000-0002-5047-4293 aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Berlin Heidelberg, 2003 46(2024), 10 vom: 04. Sept. (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:46 year:2024 number:10 day:04 month:09 https://dx.doi.org/10.1007/s40430-024-05140-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.00 VZ AR 46 2024 10 04 09 |
allfieldsSound |
10.1007/s40430-024-05140-1 doi (DE-627)SPR057216703 (SPR)s40430-024-05140-1-e DE-627 ger DE-627 rakwb eng 600 620 670 VZ 52.00 bkl Peixoto, Thiago Abreu verfasserin (orcid)0000-0003-3683-1116 aut A comparative study of the predictive capability of multiaxial stress-based fatigue criteria 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. Fatigue resistance limits (dpeaa)DE-He213 Combined synchronous bending and torsion (dpeaa)DE-He213 Mean normal stress (dpeaa)DE-He213 Mean shear stress (dpeaa)DE-He213 Error index dispersion (dpeaa)DE-He213 Frequency histograms (dpeaa)DE-He213 Castro, Tiago Lima verfasserin (orcid)0000-0002-9269-3574 aut Pereira, Marcos Venicius verfasserin (orcid)0000-0002-8260-8786 aut Darwish, Fathi Aref verfasserin aut de Carvalho, Bruno Felix verfasserin (orcid)0000-0002-5047-4293 aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Berlin Heidelberg, 2003 46(2024), 10 vom: 04. Sept. (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:46 year:2024 number:10 day:04 month:09 https://dx.doi.org/10.1007/s40430-024-05140-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.00 VZ AR 46 2024 10 04 09 |
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English |
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Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering 46(2024), 10 vom: 04. Sept. volume:46 year:2024 number:10 day:04 month:09 |
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Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering 46(2024), 10 vom: 04. Sept. volume:46 year:2024 number:10 day:04 month:09 |
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Fatigue resistance limits Combined synchronous bending and torsion Mean normal stress Mean shear stress Error index dispersion Frequency histograms |
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Journal of the Brazilian Society of Mechanical Sciences and Engineering |
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Peixoto, Thiago Abreu @@aut@@ Castro, Tiago Lima @@aut@@ Pereira, Marcos Venicius @@aut@@ Darwish, Fathi Aref @@aut@@ de Carvalho, Bruno Felix @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR057216703</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20241017064812.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240905s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40430-024-05140-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR057216703</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40430-024-05140-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="a">620</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Peixoto, Thiago Abreu</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-3683-1116</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A comparative study of the predictive capability of multiaxial stress-based fatigue criteria</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fatigue resistance limits</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Combined synchronous bending and torsion</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mean normal stress</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mean shear stress</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Error index dispersion</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Frequency histograms</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Castro, Tiago Lima</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-9269-3574</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pereira, Marcos Venicius</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-8260-8786</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Darwish, Fathi Aref</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">de Carvalho, Bruno Felix</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-5047-4293</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of the Brazilian Society of Mechanical Sciences and Engineering</subfield><subfield code="d">Springer Berlin Heidelberg, 2003</subfield><subfield code="g">46(2024), 10 vom: 04. 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Peixoto, Thiago Abreu |
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Peixoto, Thiago Abreu ddc 600 bkl 52.00 misc Fatigue resistance limits misc Combined synchronous bending and torsion misc Mean normal stress misc Mean shear stress misc Error index dispersion misc Frequency histograms A comparative study of the predictive capability of multiaxial stress-based fatigue criteria |
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600 620 670 VZ 52.00 bkl A comparative study of the predictive capability of multiaxial stress-based fatigue criteria Fatigue resistance limits (dpeaa)DE-He213 Combined synchronous bending and torsion (dpeaa)DE-He213 Mean normal stress (dpeaa)DE-He213 Mean shear stress (dpeaa)DE-He213 Error index dispersion (dpeaa)DE-He213 Frequency histograms (dpeaa)DE-He213 |
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ddc 600 bkl 52.00 misc Fatigue resistance limits misc Combined synchronous bending and torsion misc Mean normal stress misc Mean shear stress misc Error index dispersion misc Frequency histograms |
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a comparative study of the predictive capability of multiaxial stress-based fatigue criteria |
title_auth |
A comparative study of the predictive capability of multiaxial stress-based fatigue criteria |
abstract |
Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstractGer |
Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract A comparative study is made of the predictive capability of a number of critical plane-based criteria, namely Findley (F), Matake (M), Susmel & Lazzarin (S&L), Carpinteri & Spagnoli (C&S) and Liu & Mahadevan (L&M), as well as a mesoscopic scale-based model proposed by Papadopoulos (P). Such criteria were applied to a set of published loading conditions which correspond to fatigue resistance limits involving synchronous sinusoidal in-phase and out-of-phase bending and torsion. The predictive capabilities associated with the application of these models were evaluated based on the respective error indices, which measure the deviation of such predictions with respect to their experimentally observed values within an infinite-life context. Assessment of the overall predictive capability, involving the totality of the 65 loading conditions considered in this work, is then presented in the form of frequency histograms, exhibiting the dispersion of the error index for each of the criteria in question. Accordingly, one could verify that the predictive capability of the Papadopoulos criterion is generally superior to those corresponding to the critical plane-based models involved in this study. Finally, the influence of specific loading parameters such as mean normal stress and mean shear stress on the degree of dispersion in the frequency histograms is presented and discussed. © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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A comparative study of the predictive capability of multiaxial stress-based fatigue criteria |
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|
score |
7.1685886 |