2017
DOI: 10.1080/00423114.2017.1403032
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On the influence of tyre and structural properties on the stability of bicycles

Abstract: In recent years the Whipple Carvallo Bicycle Model (WCBM) has been extended to analyze high speed stability of bicycles. Various researchers have developed models taking into account the effects of front frame compliance and tire properties, nonetheless, a systematic analysis has not been yet carried out. This paper aims at analyzing parametrically the influence of front frame compliance and tire properties on the open loop stability of bicycles. Some indexes based on the eigenvalues of the dynamic system are … Show more

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Cited by 18 publications
(19 citation statements)
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“…Lumped parameter models are described in [15]. This kind of modelling is also found in other sources, especially when a more complex non-rigid model is developed [16][17][18][19][20][21].…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…Lumped parameter models are described in [15]. This kind of modelling is also found in other sources, especially when a more complex non-rigid model is developed [16][17][18][19][20][21].…”
Section: Related Workmentioning
confidence: 99%
“…There are several parameters affecting a motorcycle's wobble stability; a complete list can be found in [2,3,17,21]. For this work, besides the fork bending compliance, two tyre parameters are of particular importance: the relaxation length and the cornering stiffness.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…The rider with his/her mass, stiffness and damping characteristics has a large effect on bicycle dynamics, even if the control actions (Kooijman and Schwab, 2013) are neglected and a completely passive behavior is assumed. For this reason, some researchers have integrated the bicycle model with rider models composed of rigid bodies (the limbs) connected by means of joints (the articulations) and by lumped stiffness and damping elements (Schwab et al, 2012;Doria and Tognazzo, 2014). These models make it possible to simulate the passive response of the rider both in the hands-off and in the hands-on configuration.…”
Section: Introductionmentioning
confidence: 99%