In this work uncertain vibrations of beam-like structures are considered. Attention is paid to sensors placement and a statistically based method for the selection of sensors networks is proposed. The objective is to characterize the SHM process in terms of identifiability and maximum accuracy that a given network of sensors can provide, regardless of the damage detection techniques to be developed downstream.
A statistically based method for the selection of sensors networks in dynamic damage detection of beams / Lofrano, E.; Paolone, A.; Pingaro, M.; Trovalusci, P.. - (2019). (Intervento presentato al convegno 14th International Workshop on Advanced Smart Materials and Smart Structures Technology tenutosi a Roma).
A statistically based method for the selection of sensors networks in dynamic damage detection of beams
E. Lofrano;A. Paolone;M. Pingaro;P. Trovalusci
2019
Abstract
In this work uncertain vibrations of beam-like structures are considered. Attention is paid to sensors placement and a statistically based method for the selection of sensors networks is proposed. The objective is to characterize the SHM process in terms of identifiability and maximum accuracy that a given network of sensors can provide, regardless of the damage detection techniques to be developed downstream.| File | Dimensione | Formato | |
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