Real-time hybrid simulation of a shear building with a uni-axial shake table
• Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy f...
Ausführliche Beschreibung
Autor*in: |
Zhang, Ruiyang [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Schlagwörter: |
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Umfang: |
13 |
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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:119 ; year:2016 ; day:15 ; month:07 ; pages:217-229 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.engstruct.2016.04.022 |
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Katalog-ID: |
ELV02945476X |
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10.1016/j.engstruct.2016.04.022 doi GBVA2016002000015.pica (DE-627)ELV02945476X (ELSEVIER)S0141-0296(16)30133-X DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Zhang, Ruiyang verfasserin aut Real-time hybrid simulation of a shear building with a uni-axial shake table 2016 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. Real-time hybrid simulation Elsevier Shake table control Elsevier Shake table testing Elsevier Acceleration tracking Elsevier Lauenstein, Paige V. oth Phillips, Brian M. 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:119 year:2016 day:15 month:07 pages:217-229 extent:13 https://doi.org/10.1016/j.engstruct.2016.04.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 119 2016 15 0715 217-229 13 045F 690 |
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10.1016/j.engstruct.2016.04.022 doi GBVA2016002000015.pica (DE-627)ELV02945476X (ELSEVIER)S0141-0296(16)30133-X DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Zhang, Ruiyang verfasserin aut Real-time hybrid simulation of a shear building with a uni-axial shake table 2016 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. Real-time hybrid simulation Elsevier Shake table control Elsevier Shake table testing Elsevier Acceleration tracking Elsevier Lauenstein, Paige V. oth Phillips, Brian M. 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:119 year:2016 day:15 month:07 pages:217-229 extent:13 https://doi.org/10.1016/j.engstruct.2016.04.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 119 2016 15 0715 217-229 13 045F 690 |
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10.1016/j.engstruct.2016.04.022 doi GBVA2016002000015.pica (DE-627)ELV02945476X (ELSEVIER)S0141-0296(16)30133-X DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Zhang, Ruiyang verfasserin aut Real-time hybrid simulation of a shear building with a uni-axial shake table 2016 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. Real-time hybrid simulation Elsevier Shake table control Elsevier Shake table testing Elsevier Acceleration tracking Elsevier Lauenstein, Paige V. oth Phillips, Brian M. 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:119 year:2016 day:15 month:07 pages:217-229 extent:13 https://doi.org/10.1016/j.engstruct.2016.04.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 119 2016 15 0715 217-229 13 045F 690 |
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10.1016/j.engstruct.2016.04.022 doi GBVA2016002000015.pica (DE-627)ELV02945476X (ELSEVIER)S0141-0296(16)30133-X DE-627 ger DE-627 rakwb eng 690 690 DE-600 330 600 VZ 85.15 bkl Zhang, Ruiyang verfasserin aut Real-time hybrid simulation of a shear building with a uni-axial shake table 2016 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. Real-time hybrid simulation Elsevier Shake table control Elsevier Shake table testing Elsevier Acceleration tracking Elsevier Lauenstein, Paige V. oth Phillips, Brian M. 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:119 year:2016 day:15 month:07 pages:217-229 extent:13 https://doi.org/10.1016/j.engstruct.2016.04.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 119 2016 15 0715 217-229 13 045F 690 |
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• Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. |
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• Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. |
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• Framework proposed for substructured shake table real-time hybrid simulation (RTHS). • Model-based shake table control is successfully implemented during RTHS. • Kalman filter removes high-frequency noise from RTHS loop without adding phase lag. • Proposed framework ensure stability and accuracy for low damping structures. • Techniques implementable with basic equipment by many laboratories. |
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