A parametric mechanical model based on a Lagrangian formulation is here proposed to predict the dynamic response of roller batteries during the vehicles transit across the so-called compression towers in ropeways transportation systems. The model describes the dynamic interaction between the ropeway substructures starting from the modes and frequencies of the system to the forced dynamic response caused by the vehicles transit. The analytical model is corroborated and validated via an extensive experimental campaign devoted to the dynamic characterization of the roller battery system. The data acquired on site via a custom-design sensor network allowed to identify the frequencies and damping ratios by employing the Frequency Domain Decomposition (FDD) method. The high fidelity modeling and the system identification procedure are discussed.
Ropeway roller batteries dynamics. Modeling, identification, and full-scale validation / Arena, Andrea; Carboni, Biagio; Angeletti, Fabio; Babaz, Mathieu; Lacarbonara, Walter. - In: ENGINEERING STRUCTURES. - ISSN 0141-0296. - 180:(2019), pp. 793-808.
Ropeway roller batteries dynamics. Modeling, identification, and full-scale validation
Andrea Arena
Primo
;Biagio CarboniSecondo
;Fabio Angeletti;Walter LacarbonaraUltimo
2019
Abstract
A parametric mechanical model based on a Lagrangian formulation is here proposed to predict the dynamic response of roller batteries during the vehicles transit across the so-called compression towers in ropeways transportation systems. The model describes the dynamic interaction between the ropeway substructures starting from the modes and frequencies of the system to the forced dynamic response caused by the vehicles transit. The analytical model is corroborated and validated via an extensive experimental campaign devoted to the dynamic characterization of the roller battery system. The data acquired on site via a custom-design sensor network allowed to identify the frequencies and damping ratios by employing the Frequency Domain Decomposition (FDD) method. The high fidelity modeling and the system identification procedure are discussed.File | Dimensione | Formato | |
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