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• Measurement of the tyre belt radial displacement during cleat test. • Wave propagative solution for tyre radial vibration. • Identification of the waves propagating along the tyre circumference. • Comparison of the identification results with in-plane tyre flexible ring model. Road vehicle NVH performances can be improved acting on tyres, which play a fundamental role in the transmission of structure-borne noise and vibration into the cabin, up to 500 Hz. This paper aims at investigating the in-plane dynamics of a rolling tyre in this frequency range. Tyre radial vibration measurements are carried out through a dedicated experimental setup, based on a laser triangulation sensor scanning the tread of a rolling tyre. The experimental data are collected during cleat tests, considering different rolling speeds and inflation pressures, to investigate their influence on tyre dynamics. Then, a data processing algorithm is proposed with the aim of identifying the progressive and regressive waves propagating along the tyre circumference after the cleat impact. Finally, to interpret the results, the identified tyre response has been compared to the analytical results obtained through a simplified in-plane tyre model. [ABSTRACT FROM AUTHOR]

Nowadays, tyre/road noise represents one of the main sources of environmental pollution. For this reason, tyre/road noise models are fundamental to support the design of more silent products. In this paper, a statistical modelling approach is discussed, with particular focus on the identification and processing of noise-related tyre/road parameters. At first, the workflow for the development of a statistical tyre/road noise model is described. This strategy is then applied to the prediction of sound intensity levels of indoor tests performed on drum at different rolling speeds. The measurement of input and output data and their processing are discussed and applied to the define a suitable database. The proposed approach is then tested with a neural network. The results show the potential of the presented methodology in terms of selection of descriptive parameters and features' extraction procedure. [ABSTRACT FROM AUTHOR]