Probabilistic fatigue life prediction of notched components using strain energy density approach

To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic load...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Xue-Kang [verfasserIn] Chen, Sijia [verfasserIn] Zhu, Shun-Peng [verfasserIn] Liao, Ding [verfasserIn] Gao, Jie-Wei [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Notch Fatigue Strain energy density Life prediction Critical distance

Übergeordnetes Werk:	Enthalten in: Engineering failure analysis - Oxford [u.a.] : Elsevier Science, 1994, 124
Übergeordnetes Werk:	volume:124

DOI / URN:	10.1016/j.engfailanal.2021.105375

Katalog-ID:	ELV005809576

Internformat


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245	1	0	\|a Probabilistic fatigue life prediction of notched components using strain energy density approach
264		1	\|c 2021
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520			\|a To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted.
650		4	\|a Notch
650		4	\|a Fatigue
650		4	\|a Strain energy density
650		4	\|a Life prediction
650		4	\|a Critical distance
700	1		\|a Chen, Sijia \|e verfasserin \|0 (orcid)0000-0002-4081-0134 \|4 aut
700	1		\|a Zhu, Shun-Peng \|e verfasserin \|4 aut
700	1		\|a Liao, Ding \|e verfasserin \|4 aut
700	1		\|a Gao, Jie-Wei \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Engineering failure analysis \|d Oxford [u.a.] : Elsevier Science, 1994 \|g 124 \|h Online-Ressource \|w (DE-627)320608697 \|w (DE-600)2021082-6 \|w (DE-576)120883619 \|x 1350-6307 \|7 nnns
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912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 51.32 \|j Werkstoffmechanik
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publishDate	2021
allfields	10.1016/j.engfailanal.2021.105375 doi (DE-627)ELV005809576 (ELSEVIER)S1350-6307(21)00235-1 DE-627 ger DE-627 rda eng 600 DE-600 51.32 bkl 50.16 bkl Li, Xue-Kang verfasserin aut Probabilistic fatigue life prediction of notched components using strain energy density approach 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted. Notch Fatigue Strain energy density Life prediction Critical distance Chen, Sijia verfasserin (orcid)0000-0002-4081-0134 aut Zhu, Shun-Peng verfasserin aut Liao, Ding verfasserin aut Gao, Jie-Wei verfasserin aut Enthalten in Engineering failure analysis Oxford [u.a.] : Elsevier Science, 1994 124 Online-Ressource (DE-627)320608697 (DE-600)2021082-6 (DE-576)120883619 1350-6307 nnns volume:124 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 51.32 Werkstoffmechanik 50.16 Technische Zuverlässigkeit Instandhaltung AR 124
spelling	10.1016/j.engfailanal.2021.105375 doi (DE-627)ELV005809576 (ELSEVIER)S1350-6307(21)00235-1 DE-627 ger DE-627 rda eng 600 DE-600 51.32 bkl 50.16 bkl Li, Xue-Kang verfasserin aut Probabilistic fatigue life prediction of notched components using strain energy density approach 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted. Notch Fatigue Strain energy density Life prediction Critical distance Chen, Sijia verfasserin (orcid)0000-0002-4081-0134 aut Zhu, Shun-Peng verfasserin aut Liao, Ding verfasserin aut Gao, Jie-Wei verfasserin aut Enthalten in Engineering failure analysis Oxford [u.a.] : Elsevier Science, 1994 124 Online-Ressource (DE-627)320608697 (DE-600)2021082-6 (DE-576)120883619 1350-6307 nnns volume:124 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 51.32 Werkstoffmechanik 50.16 Technische Zuverlässigkeit Instandhaltung AR 124
allfields_unstemmed	10.1016/j.engfailanal.2021.105375 doi (DE-627)ELV005809576 (ELSEVIER)S1350-6307(21)00235-1 DE-627 ger DE-627 rda eng 600 DE-600 51.32 bkl 50.16 bkl Li, Xue-Kang verfasserin aut Probabilistic fatigue life prediction of notched components using strain energy density approach 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted. Notch Fatigue Strain energy density Life prediction Critical distance Chen, Sijia verfasserin (orcid)0000-0002-4081-0134 aut Zhu, Shun-Peng verfasserin aut Liao, Ding verfasserin aut Gao, Jie-Wei verfasserin aut Enthalten in Engineering failure analysis Oxford [u.a.] : Elsevier Science, 1994 124 Online-Ressource (DE-627)320608697 (DE-600)2021082-6 (DE-576)120883619 1350-6307 nnns volume:124 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 51.32 Werkstoffmechanik 50.16 Technische Zuverlässigkeit Instandhaltung AR 124
allfieldsGer	10.1016/j.engfailanal.2021.105375 doi (DE-627)ELV005809576 (ELSEVIER)S1350-6307(21)00235-1 DE-627 ger DE-627 rda eng 600 DE-600 51.32 bkl 50.16 bkl Li, Xue-Kang verfasserin aut Probabilistic fatigue life prediction of notched components using strain energy density approach 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted. Notch Fatigue Strain energy density Life prediction Critical distance Chen, Sijia verfasserin (orcid)0000-0002-4081-0134 aut Zhu, Shun-Peng verfasserin aut Liao, Ding verfasserin aut Gao, Jie-Wei verfasserin aut Enthalten in Engineering failure analysis Oxford [u.a.] : Elsevier Science, 1994 124 Online-Ressource (DE-627)320608697 (DE-600)2021082-6 (DE-576)120883619 1350-6307 nnns volume:124 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 51.32 Werkstoffmechanik 50.16 Technische Zuverlässigkeit Instandhaltung AR 124
allfieldsSound	10.1016/j.engfailanal.2021.105375 doi (DE-627)ELV005809576 (ELSEVIER)S1350-6307(21)00235-1 DE-627 ger DE-627 rda eng 600 DE-600 51.32 bkl 50.16 bkl Li, Xue-Kang verfasserin aut Probabilistic fatigue life prediction of notched components using strain energy density approach 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted. Notch Fatigue Strain energy density Life prediction Critical distance Chen, Sijia verfasserin (orcid)0000-0002-4081-0134 aut Zhu, Shun-Peng verfasserin aut Liao, Ding verfasserin aut Gao, Jie-Wei verfasserin aut Enthalten in Engineering failure analysis Oxford [u.a.] : Elsevier Science, 1994 124 Online-Ressource (DE-627)320608697 (DE-600)2021082-6 (DE-576)120883619 1350-6307 nnns volume:124 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 51.32 Werkstoffmechanik 50.16 Technische Zuverlässigkeit Instandhaltung AR 124
language	English
source	Enthalten in Engineering failure analysis 124 volume:124
sourceStr	Enthalten in Engineering failure analysis 124 volume:124
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authorswithroles_txt_mv	Li, Xue-Kang @@aut@@ Chen, Sijia @@aut@@ Zhu, Shun-Peng @@aut@@ Liao, Ding @@aut@@ Gao, Jie-Wei @@aut@@
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author	Li, Xue-Kang
spellingShingle	Li, Xue-Kang ddc 600 bkl 51.32 bkl 50.16 misc Notch misc Fatigue misc Strain energy density misc Life prediction misc Critical distance Probabilistic fatigue life prediction of notched components using strain energy density approach
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topic_title	600 DE-600 51.32 bkl 50.16 bkl Probabilistic fatigue life prediction of notched components using strain energy density approach Notch Fatigue Strain energy density Life prediction Critical distance
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title	Probabilistic fatigue life prediction of notched components using strain energy density approach
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title_full	Probabilistic fatigue life prediction of notched components using strain energy density approach
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title_sort	probabilistic fatigue life prediction of notched components using strain energy density approach
title_auth	Probabilistic fatigue life prediction of notched components using strain energy density approach
abstract	To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted.
abstractGer	To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted.
abstract_unstemmed	To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. Finally, fatigue life assessment of a compressor disk considering material and load uncertainties is conducted.
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title_short	Probabilistic fatigue life prediction of notched components using strain energy density approach
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up_date	2024-07-06T19:14:16.476Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV005809576</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524161456.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230504s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.engfailanal.2021.105375</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV005809576</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1350-6307(21)00235-1</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">rda</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="q">DE-600</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.32</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.16</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Xue-Kang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Probabilistic fatigue life prediction of notched components using strain energy density approach</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</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="520" ind1=" " ind2=" "><subfield code="a">To meet various functional requirements, engineering components are usually designed with geometrical discontinuities, which raise stress concentrations undergoing external loadings. Comparing with other locations, these regions with high levels of stress incline to initiate cracks under cyclic loadings, which determine fatigue strength of the whole part. Accordingly, a novel strain energy density-based model for notch fatigue life prediction is developed, and a P – W – N f curve is raised to consider the fatigue life scatter originating from material dispersity. Experimental data of different notched specimens made with TC4 alloys are used for model validation and comparison. Results indicate that the proposed model predictions show higher accuracy than the other four models. 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Probabilistic fatigue life prediction of notched components using strain energy density approach

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