Towers, roller batteries, propelling cables and vehicles are the substructures of ropeway transportation systems. Highfidelity modeling of their dynamical interactions together with a reliable identification is a key step towards the prediction of the system response under various transit conditions as well as to investigate design optimization strategies. In this work, a nonlinear mechanical model for the dynamical description of cablecar ski lift systems is discussed. The investigation is focused on the modal features and the forced dynamic response caused by the vehicles transit across the so-called compression towers. The model is validated according to experimental data acquired via a custom-design sensor network. The Enhanced Frequency Domain Decomposition (EFDD) method is employed to identify the frequencies and damping ratios.

Dynamic response and identification of tower-cable-roller battery interactions in ropeways / Arena, Andrea; Carboni, Biagio; Lacarbonara, Walter; Babaz, Mathieu. - ELETTRONICO. - 6:(2017), p. V006T10A045. (Intervento presentato al convegno ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 tenutosi a usa nel 2017) [10.1115/DETC2017-67810].

Dynamic response and identification of tower-cable-roller battery interactions in ropeways

Arena, Andrea
;
Carboni, Biagio;Lacarbonara, Walter;
2017

Abstract

Towers, roller batteries, propelling cables and vehicles are the substructures of ropeway transportation systems. Highfidelity modeling of their dynamical interactions together with a reliable identification is a key step towards the prediction of the system response under various transit conditions as well as to investigate design optimization strategies. In this work, a nonlinear mechanical model for the dynamical description of cablecar ski lift systems is discussed. The investigation is focused on the modal features and the forced dynamic response caused by the vehicles transit across the so-called compression towers. The model is validated according to experimental data acquired via a custom-design sensor network. The Enhanced Frequency Domain Decomposition (EFDD) method is employed to identify the frequencies and damping ratios.
2017
ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Mechanical Engineering; Computer Graphics and Computer-Aided Design; Computer Science Applications1707 Computer Vision and Pattern Recognition; Modeling and Simulation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Dynamic response and identification of tower-cable-roller battery interactions in ropeways / Arena, Andrea; Carboni, Biagio; Lacarbonara, Walter; Babaz, Mathieu. - ELETTRONICO. - 6:(2017), p. V006T10A045. (Intervento presentato al convegno ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 tenutosi a usa nel 2017) [10.1115/DETC2017-67810].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1082055
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