Size Sensitivity for the Reliability Index in Stochastic Finite Element Analysis of Damage
Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf tra...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gutiérrez, Miguel A. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2006 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer 2006 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of fracture - Kluwer Academic Publishers, 1973, 137(2006), 1-4 vom: Jan., Seite 109-120 |
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| Übergeordnetes Werk: |
volume:137 ; year:2006 ; number:1-4 ; month:01 ; pages:109-120 |
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| DOI / URN: |
10.1007/s10704-005-3076-y |
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OLC203661504X |
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| 520 | |a Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. | ||
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10.1007/s10704-005-3076-y doi (DE-627)OLC203661504X (DE-He213)s10704-005-3076-y-p DE-627 ger DE-627 rakwb eng 530 600 670 VZ Gutiérrez, Miguel A. verfasserin aut Size Sensitivity for the Reliability Index in Stochastic Finite Element Analysis of Damage 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer 2006 Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. Quasi-brittle material reliability method sensitivity statistical size effect stochastic finite elements Enthalten in International journal of fracture Kluwer Academic Publishers, 1973 137(2006), 1-4 vom: Jan., Seite 109-120 (DE-627)129399345 (DE-600)186249-2 (DE-576)014782154 0376-9429 nnns volume:137 year:2006 number:1-4 month:01 pages:109-120 https://doi.org/10.1007/s10704-005-3076-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_21 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2016 GBV_ILN_4700 AR 137 2006 1-4 01 109-120 |
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10.1007/s10704-005-3076-y doi (DE-627)OLC203661504X (DE-He213)s10704-005-3076-y-p DE-627 ger DE-627 rakwb eng 530 600 670 VZ Gutiérrez, Miguel A. verfasserin aut Size Sensitivity for the Reliability Index in Stochastic Finite Element Analysis of Damage 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer 2006 Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. Quasi-brittle material reliability method sensitivity statistical size effect stochastic finite elements Enthalten in International journal of fracture Kluwer Academic Publishers, 1973 137(2006), 1-4 vom: Jan., Seite 109-120 (DE-627)129399345 (DE-600)186249-2 (DE-576)014782154 0376-9429 nnns volume:137 year:2006 number:1-4 month:01 pages:109-120 https://doi.org/10.1007/s10704-005-3076-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_21 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2016 GBV_ILN_4700 AR 137 2006 1-4 01 109-120 |
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10.1007/s10704-005-3076-y doi (DE-627)OLC203661504X (DE-He213)s10704-005-3076-y-p DE-627 ger DE-627 rakwb eng 530 600 670 VZ Gutiérrez, Miguel A. verfasserin aut Size Sensitivity for the Reliability Index in Stochastic Finite Element Analysis of Damage 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer 2006 Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. Quasi-brittle material reliability method sensitivity statistical size effect stochastic finite elements Enthalten in International journal of fracture Kluwer Academic Publishers, 1973 137(2006), 1-4 vom: Jan., Seite 109-120 (DE-627)129399345 (DE-600)186249-2 (DE-576)014782154 0376-9429 nnns volume:137 year:2006 number:1-4 month:01 pages:109-120 https://doi.org/10.1007/s10704-005-3076-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_21 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2016 GBV_ILN_4700 AR 137 2006 1-4 01 109-120 |
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10.1007/s10704-005-3076-y doi (DE-627)OLC203661504X (DE-He213)s10704-005-3076-y-p DE-627 ger DE-627 rakwb eng 530 600 670 VZ Gutiérrez, Miguel A. verfasserin aut Size Sensitivity for the Reliability Index in Stochastic Finite Element Analysis of Damage 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer 2006 Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. Quasi-brittle material reliability method sensitivity statistical size effect stochastic finite elements Enthalten in International journal of fracture Kluwer Academic Publishers, 1973 137(2006), 1-4 vom: Jan., Seite 109-120 (DE-627)129399345 (DE-600)186249-2 (DE-576)014782154 0376-9429 nnns volume:137 year:2006 number:1-4 month:01 pages:109-120 https://doi.org/10.1007/s10704-005-3076-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_21 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2016 GBV_ILN_4700 AR 137 2006 1-4 01 109-120 |
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Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. © Springer 2006 |
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Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. © Springer 2006 |
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Abstract The direct differentiation method is applied to the estimation of statistical size effect behaviour in quasi-brittle solids. The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. It can be evaluated to what extent the scale factor sensitivity of the failure probability is influenced by the phenomena related to the material disorder or the deterministic size effect. © Springer 2006 |
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The scale factor is included in the finite element model and the autocorrelation function. Particular attention is paid to the proper differentiation of the Nataf transformation, which has been chosen to convert the basic random variables into a set of uncorrelated, standard normal variables. The predictive possibilities of the presented algorithm provide a valuable insight in the actual mechanisms responsible for failure. 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