Model updating with a Modified Dual Kalman Filter acting on distributed strain measurements
In: XI International Conference on Adaptive Modeling and Simulation (ADMOS 2023) ; https://hal.science/hal-04184300 ; XI International Conference on Adaptive Modeling and Simulation (ADMOS 2023), Jun 2023, Gothenburg, Sweden, 2023
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Zugriff:
International audience ; Following the advances in measurement technology and its vast availability, mechanical systems and structures are increasingly equipped with sensors to obtain continuous information regarding the system state. Coupled with robust numerical models, this information can be used to build a numerical twin of the structure that is linked to its physical twin via a feedback loop. This results in the concept of Dynamic Data Driven Application Systems (DDDAS) that can predict and control the evolution of the physical phenomena at stake on the structure, as well as dynamically updating the numerical model with the help of real-time measurements [1, 2].
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Model updating with a Modified Dual Kalman Filter acting on distributed strain measurements
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Autor/in / Beteiligte Person: | Farahbakhsh, Sahar ; Chamoin, Ludovic ; Poncelet, Martin ; Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay) ; Laboratoire de Mécanique et Technologie (LMT) ; École normale supérieure - Cachan (ENS Cachan)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS) ; Laboratoire de mécanique et technologie (LMT) ; Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay) ; European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021) |
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Zeitschrift: | XI International Conference on Adaptive Modeling and Simulation (ADMOS 2023) ; https://hal.science/hal-04184300 ; XI International Conference on Adaptive Modeling and Simulation (ADMOS 2023), Jun 2023, Gothenburg, Sweden, 2023 |
Veröffentlichung: | HAL CCSD, 2023 |
Medientyp: | Konferenz |
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