Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks
• Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended f...
Ausführliche Beschreibung
Autor*in: |
Heng, Junlin [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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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:265 ; year:2022 ; day:15 ; month:08 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.engstruct.2022.114496 |
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Katalog-ID: |
ELV058217541 |
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10.1016/j.engstruct.2022.114496 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001951.pica (DE-627)ELV058217541 (ELSEVIER)S0141-0296(22)00604-6 DE-627 ger DE-627 rakwb eng 330 600 VZ 85.15 bkl Heng, Junlin verfasserin aut Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. Orthotropic steel decks Elsevier Rib-to-deck joints Elsevier Probabilistic fatigue assessment Elsevier dynamic Bayesian network Elsevier Gaussian process regression Elsevier Zheng, Kaifeng oth Feng, Xiaoyang oth Veljkovic, Milan oth Zhou, Zhixiang 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:265 year:2022 day:15 month:08 pages:0 https://doi.org/10.1016/j.engstruct.2022.114496 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 265 2022 15 0815 0 |
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10.1016/j.engstruct.2022.114496 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001951.pica (DE-627)ELV058217541 (ELSEVIER)S0141-0296(22)00604-6 DE-627 ger DE-627 rakwb eng 330 600 VZ 85.15 bkl Heng, Junlin verfasserin aut Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. Orthotropic steel decks Elsevier Rib-to-deck joints Elsevier Probabilistic fatigue assessment Elsevier dynamic Bayesian network Elsevier Gaussian process regression Elsevier Zheng, Kaifeng oth Feng, Xiaoyang oth Veljkovic, Milan oth Zhou, Zhixiang 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:265 year:2022 day:15 month:08 pages:0 https://doi.org/10.1016/j.engstruct.2022.114496 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 265 2022 15 0815 0 |
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10.1016/j.engstruct.2022.114496 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001951.pica (DE-627)ELV058217541 (ELSEVIER)S0141-0296(22)00604-6 DE-627 ger DE-627 rakwb eng 330 600 VZ 85.15 bkl Heng, Junlin verfasserin aut Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. Orthotropic steel decks Elsevier Rib-to-deck joints Elsevier Probabilistic fatigue assessment Elsevier dynamic Bayesian network Elsevier Gaussian process regression Elsevier Zheng, Kaifeng oth Feng, Xiaoyang oth Veljkovic, Milan oth Zhou, Zhixiang 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:265 year:2022 day:15 month:08 pages:0 https://doi.org/10.1016/j.engstruct.2022.114496 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 265 2022 15 0815 0 |
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10.1016/j.engstruct.2022.114496 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001951.pica (DE-627)ELV058217541 (ELSEVIER)S0141-0296(22)00604-6 DE-627 ger DE-627 rakwb eng 330 600 VZ 85.15 bkl Heng, Junlin verfasserin aut Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. Orthotropic steel decks Elsevier Rib-to-deck joints Elsevier Probabilistic fatigue assessment Elsevier dynamic Bayesian network Elsevier Gaussian process regression Elsevier Zheng, Kaifeng oth Feng, Xiaoyang oth Veljkovic, Milan oth Zhou, Zhixiang 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:265 year:2022 day:15 month:08 pages:0 https://doi.org/10.1016/j.engstruct.2022.114496 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.15 Forschung und Entwicklung Betriebswirtschaft VZ AR 265 2022 15 0815 0 |
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Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks |
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• Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. |
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• Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. |
abstract_unstemmed |
• Probabilistic fatigue crack growth (PFCG) model is proposed for rib-to-deck joint. • Gaussian process regression is employed to incorporate the numerical simulation. • Dynamic Bayesian network is adapted to calibrate the PFCG model with test data. • Numerical S-N curve is derived and recommended for rib-to-deck joints in steel decks. |
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Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks |
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