Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests
• Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computati...
Ausführliche Beschreibung
Autor*in: |
Buljak, V. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Umfang: |
10 |
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Übergeordnetes Werk: |
Enthalten in: Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions - Mariani, Marcello M. ELSEVIER, 2022, the journal of earthquake, wind and ocean engineering, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:136 ; year:2017 ; day:1 ; month:04 ; pages:77-86 ; extent:10 |
Links: |
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DOI / URN: |
10.1016/j.engstruct.2016.12.062 |
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ELV019963947 |
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10.1016/j.engstruct.2016.12.062 doi GBVA2017002000014.pica (DE-627)ELV019963947 (ELSEVIER)S0141-0296(16)31753-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Buljak, V. verfasserin aut Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests 2017 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. Stress identification Elsevier Inverse analysis Elsevier Parameters identification Elsevier “Small punch” test Elsevier Cocchetti, G. oth Cornaggia, A. oth Maier, G. oth Enthalten in Elsevier Science Mariani, Marcello M. ELSEVIER Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions 2022 the journal of earthquake, wind and ocean engineering Amsterdam [u.a.] (DE-627)ELV009490973 volume:136 year:2017 day:1 month:04 pages:77-86 extent:10 https://doi.org/10.1016/j.engstruct.2016.12.062 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 136 2017 1 0401 77-86 10 045F 690 |
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10.1016/j.engstruct.2016.12.062 doi GBVA2017002000014.pica (DE-627)ELV019963947 (ELSEVIER)S0141-0296(16)31753-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Buljak, V. verfasserin aut Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests 2017 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. Stress identification Elsevier Inverse analysis Elsevier Parameters identification Elsevier “Small punch” test Elsevier Cocchetti, G. oth Cornaggia, A. oth Maier, G. oth Enthalten in Elsevier Science Mariani, Marcello M. ELSEVIER Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions 2022 the journal of earthquake, wind and ocean engineering Amsterdam [u.a.] (DE-627)ELV009490973 volume:136 year:2017 day:1 month:04 pages:77-86 extent:10 https://doi.org/10.1016/j.engstruct.2016.12.062 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 136 2017 1 0401 77-86 10 045F 690 |
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10.1016/j.engstruct.2016.12.062 doi GBVA2017002000014.pica (DE-627)ELV019963947 (ELSEVIER)S0141-0296(16)31753-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Buljak, V. verfasserin aut Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests 2017 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. Stress identification Elsevier Inverse analysis Elsevier Parameters identification Elsevier “Small punch” test Elsevier Cocchetti, G. oth Cornaggia, A. oth Maier, G. oth Enthalten in Elsevier Science Mariani, Marcello M. ELSEVIER Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions 2022 the journal of earthquake, wind and ocean engineering Amsterdam [u.a.] (DE-627)ELV009490973 volume:136 year:2017 day:1 month:04 pages:77-86 extent:10 https://doi.org/10.1016/j.engstruct.2016.12.062 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 136 2017 1 0401 77-86 10 045F 690 |
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10.1016/j.engstruct.2016.12.062 doi GBVA2017002000014.pica (DE-627)ELV019963947 (ELSEVIER)S0141-0296(16)31753-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Buljak, V. verfasserin aut Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests 2017 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. Stress identification Elsevier Inverse analysis Elsevier Parameters identification Elsevier “Small punch” test Elsevier Cocchetti, G. oth Cornaggia, A. oth Maier, G. oth Enthalten in Elsevier Science Mariani, Marcello M. ELSEVIER Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions 2022 the journal of earthquake, wind and ocean engineering Amsterdam [u.a.] (DE-627)ELV009490973 volume:136 year:2017 day:1 month:04 pages:77-86 extent:10 https://doi.org/10.1016/j.engstruct.2016.12.062 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 136 2017 1 0401 77-86 10 045F 690 |
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10.1016/j.engstruct.2016.12.062 doi GBVA2017002000014.pica (DE-627)ELV019963947 (ELSEVIER)S0141-0296(16)31753-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Buljak, V. verfasserin aut Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests 2017 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. Stress identification Elsevier Inverse analysis Elsevier Parameters identification Elsevier “Small punch” test Elsevier Cocchetti, G. oth Cornaggia, A. oth Maier, G. oth Enthalten in Elsevier Science Mariani, Marcello M. ELSEVIER Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions 2022 the journal of earthquake, wind and ocean engineering Amsterdam [u.a.] (DE-627)ELV009490973 volume:136 year:2017 day:1 month:04 pages:77-86 extent:10 https://doi.org/10.1016/j.engstruct.2016.12.062 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 136 2017 1 0401 77-86 10 045F 690 |
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Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests |
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• Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. |
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• Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. |
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• Both stresses and material properties can be identified by Small Punch tests modified according to the present proposal. • Displacements due to stress relaxation are measured by Digital Image Correlation instruments. • Test simulations and back-analyses are procedures here elaborated and computationally tested. |
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Estimation of residual stresses by inverse analysis based on experimental data from sample removal for “small punch” tests |
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