In this work, the relationship between Tyre-Road Noise (TRN) and road surface properties, such as road texture, Mean Profile Depth (MPD) and enveloped texture was studied from an experimental point of view. TRN was measured using the CPX method. The first step consisted in providing a model of the sound pressure field inside the tyre cavity using analytical calculations and a Finite Element Method (FEM) simulation, both in agreement with experimental measurements. These measurements were performed with a Tyre Cavity Noise (TCN) sensor, which was then used on-field to study the relationship between TCN and superficial properties of low noise pavements. Results show that noise inside the tyre cavity is greatly affected by road surface characteristics at frequencies below 1 kHz. The second step consisted in the study of the correlation between TRN outside emission and road texture. Results show that two indicators of TRN can be derived: a low frequency indicator and a high frequency indicator. The correlation between outside noise and cavity noise reveals that the two fields are similar at low frequency, but a model cannot be obtained with a straightforward approach, due to the intrinsic differences between the physical quantities. At last, models for forecasting the initial CPX levels from the Job Mix Formula and the acoustic ageing of low noise surfaces using traffic load, weather and pavement conditions were developed.

Analysis of Tyre Rolling Noise on Low Noise Pavements

DEL PIZZO, LARA GINEVRA
2021

Abstract

In this work, the relationship between Tyre-Road Noise (TRN) and road surface properties, such as road texture, Mean Profile Depth (MPD) and enveloped texture was studied from an experimental point of view. TRN was measured using the CPX method. The first step consisted in providing a model of the sound pressure field inside the tyre cavity using analytical calculations and a Finite Element Method (FEM) simulation, both in agreement with experimental measurements. These measurements were performed with a Tyre Cavity Noise (TCN) sensor, which was then used on-field to study the relationship between TCN and superficial properties of low noise pavements. Results show that noise inside the tyre cavity is greatly affected by road surface characteristics at frequencies below 1 kHz. The second step consisted in the study of the correlation between TRN outside emission and road texture. Results show that two indicators of TRN can be derived: a low frequency indicator and a high frequency indicator. The correlation between outside noise and cavity noise reveals that the two fields are similar at low frequency, but a model cannot be obtained with a straightforward approach, due to the intrinsic differences between the physical quantities. At last, models for forecasting the initial CPX levels from the Job Mix Formula and the acoustic ageing of low noise surfaces using traffic load, weather and pavement conditions were developed.
18-lug-2021
Italiano
acoustig ageing
cpx measurements
enveloped texture
low noise pavements
MPD
road texture
tyre cavity microphone
tyre cavity noise
tyre/road noise
Licitra, Gaetano
Fidecaro, Francesco
File in questo prodotto:
File Dimensione Formato  
tesi_delpizzo_last.pdf

embargo fino al 20/07/2061

Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati
Dimensione 16.84 MB
Formato Adobe PDF
16.84 MB Adobe PDF

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/142474
Il codice NBN di questa tesi è URN:NBN:IT:UNIPI-142474