Ropeway roller batteries dynamics: Modeling, identification, and full-scale validation

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.

[1]  Ferdinando Auricchio,et al.  Hysteresis of Multiconfiguration Assemblies of Nitinol and Steel Strands: Experiments and Phenomenological Identification , 2015 .

[2]  Klaus Hoffmann.  Oscillation Effects of Ropeways Caused by Cross-Wind and Other Influences , 2009 .

[4]  Gyula Simon,et al.  The flooding time synchronization protocol , 2004, SenSys '04.

[5]  David L. Mills,et al.  Internet time synchronization: the network time protocol , 1991, IEEE Trans. Commun..

[6]  Walter Lacarbonara,et al.  Payload oscillations control in harbor cranes via semi-active vibration absorbers: modeling, simulations and experimental results , 2017 .

[7]  Walter Lacarbonara,et al.  Dynamic Response and Identification of Tower-Cable-Roller Battery Interactions in Ropeways , 2017 .

[8]  Hans C. Renezeder,et al.  On the dynamics of circulating monocable aerial ropeways , 2005 .

[9]  Matthew P. Cartmell,et al.  Nonlinear interactions in deformable container cranes , 2016 .

[10]  Klaus Hoffmann.  Recent developments in cable-drawn urban transport systems , 2006 .

[11]  Walter Lacarbonara,et al.  Nonlinear response of elastic cables with flexural-torsional stiffness , 2016 .

[12]  Chen Nan,et al.  Dynamic behaviour of cable supporting roller batteries: basic model , 1998 .

[13]  Klaus Hoffmann,et al.  Cable-Drawn Urban Transport Systems , 2005 .

[14]  Matthew P. Cartmell,et al.  Dynamics of container cranes: three-dimensional modeling, full-scale experiments, and identification , 2015 .

[15]  Marta Knawa,et al.  Computational model of an inclined aerial ropeway and numerical method for analyzing nonlinear cable-car interaction , 2011 .

[16]  James M. W. Brownjohn,et al.  Dynamics of an aerial cableway system , 1998 .

[17]  Eugene J. O'Brien,et al.  Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle , 2014 .

[18]  Rune Brincker,et al.  Modal identification of output-only systems using frequency domain decomposition , 2001 .

[19]  Piotr Górski,et al.  Dynamic characteristic of tall industrial chimney estimated from GPS measurement and frequency domain decomposition , 2017 .