Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Luca Rosafalco"'
Autor:
Luca Rosafalco, Jacopo Maria De Ponti, Luca Iorio, Richard V. Craster, Raffaele Ardito, Alberto Corigliano
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The energy harvesting capability of a graded metamaterial is maximised via reinforcement learning (RL) under realistic excitations at the microscale. The metamaterial consists of a waveguide with a set of beam-like resonators of variable len
Externí odkaz:
https://doaj.org/article/5f93f553c04d4d2bb3ab48883e45a43f
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 7, Iss 1, Pp 1-31 (2020)
Abstract We propose a novel approach to structural health monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor systems. Damage detection and localization are formulated as c
Externí odkaz:
https://doaj.org/article/eb55259952d149dba7f91219694f556d
Publikováno v:
Engineering Proceedings, Vol 27, Iss 1, p 18 (2022)
The design optimization of the grading of a resonator array for energy harvesting in sensors is described. Attention is paid to set the resonator heights, possibly removing resonators whenever convenient. Instead of employing time-consuming heuristic
Externí odkaz:
https://doaj.org/article/5aba2755e58c4cbc8496ca34706ae927
Publikováno v:
Sensors, Vol 21, Iss 12, p 4207 (2021)
In civil engineering, different machine learning algorithms have been adopted to process the huge amount of data continuously acquired through sensor networks and solve inverse problems. Challenging issues linked to structural health monitoring or lo
Externí odkaz:
https://doaj.org/article/2f01705fa2ed408aa0017e419b813cf6
Publikováno v:
Proceedings, Vol 42, Iss 1, p 67 (2020)
Recent advances in sensor technologies coupled with the development of machine/deep learning strategies are opening new frontiers in Structural Health Monitoring (SHM). Dealing with structural vibrations recorded with pervasive sensor networks, SHM a
Externí odkaz:
https://doaj.org/article/7a85ef62dd204a338fe985361c2edf61
Publikováno v:
Intelligent Systems, Control and Automation: Science and Engineering ISBN: 9783030707866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa751f93c520446bacb7a0957ca94acb
http://hdl.handle.net/11311/1207178
http://hdl.handle.net/11311/1207178
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 7, Iss 1, Pp 1-31 (2020)
We propose a novel approach to Structural Health Monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor systems. Damage detection and localization are formulated as classifica
Publikováno v:
Structural Integrity ISBN: 9783030817152
Aging of structures and infrastructures urges new approaches to ensure higher safety levels without service interruptions. Structural health monitoring (SHM) aims to cope with this need by processing the data continuously acquired by pervasive sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e820c15277e1a6baf6776714d1c79afd
https://doi.org/10.1007/978-3-030-81716-9_8
https://doi.org/10.1007/978-3-030-81716-9_8
Autor:
Giorgia Colombera, Luca Rosafalco, Matteo Torzoni, Filippo Gatti, Stefano Mariani, Andrea Manzoni, Alberto Corigliano
Publikováno v:
Proceedings
The 1st Online Conference on Algorithms session Evolutionary Algorithms and Machine Learning
The 1st Online Conference on Algorithms session Evolutionary Algorithms and Machine Learning, Sep 2021, Online, France. ⟨10.3390/proceedings1010000⟩
The 1st Online Conference on Algorithms session Evolutionary Algorithms and Machine Learning
The 1st Online Conference on Algorithms session Evolutionary Algorithms and Machine Learning, Sep 2021, Online, France. ⟨10.3390/proceedings1010000⟩
International audience; Civil structures, infrastructures and lifelines are constantly threatened by natural 1 hazards and climate change. Structural Health Monitoring (SHM) has therefore become an 2 active field of research in view of online structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf8010cd6e6d16419cd72ad1abd8d07d
https://hal.archives-ouvertes.fr/hal-03467847
https://hal.archives-ouvertes.fr/hal-03467847