Centro de Território, Ambiente e Construção
Escola de Engenharia da Universidade do Minho
Campus de Azurém
4800-058 Guimarães, Portugal
Phone: + 351 253 510 200 (517 206)
Fax: + 351 253 510 217
Email: geral@ctac.uminho.pt
Title | Modelling tyre-road noise with data mining techniques |
Publication Type | Papers in International Journals |
Year of Publication | 2015 |
Authors | Freitas, E.F., Tinoco J., Soares F., Costa J. O., Cortez P., and Pereira P. |
Abstract | The research aimed to establish tyre-road noise models by using a Data Mining approach that allowed to build a predictive model and assess the importance of the tested input variables. The data modelling took into account three learning algorithms and three metrics to define the best predictive model. The variables tested included basic properties of pavement surfaces, macrotexture, megatexture, and unevenness and, for the first time, damping. Also, the importance of those variables was measured by using a sensitivity analysis procedure. Two types of models were set: one with basic variables and another with complex variables, such as megatexture and damping, all as a function of vehicles speed. More detailed models were additionally set by the speed level. As a result, several models with very good tyre-road noise predictive capacity were achieved. The most relevant variables were Speed, Temperature, Aggregate size, Mean Profile Depth, and Damping, which had the highest importance, even though influenced by speed. Megatexture and IRI had the lowest importance. The applicability of the models developed in this work is relevant for trucks tyre-noise prediction, represented by the AVON V4 test tyre, at the early stage of road pavements use. Therefore, the obtained models are highly useful for the design of pavements and for noise prediction by road authorities and contractors.
|
Journal | Archives of Acoustics |
Volume | 40 |
Issue | 4 |
Date Published | 2015-12-31 |
Publisher | Polish Scientific Publishers PWN |
ISSN | 0137-5075 |
DOI | 10.1515/aoa-2015-0054 |
Keywords | Damping, Data Mining, model, surface characteristics, Texture, Tyre-road noise |
Citation | Freitas E., Tinoco J., Soares F., Costa J., Cortez P., Pereira P. (2015). Modelling tyre-road noise with data mining techniques, Archives of Acoustics, Vol 40, No 4. |
Rights | openAccess |
Peer reviewed | yes |
Status | published |
The Centre for Territory, Environment and Construction (CTAC) is a research unit of the School of Engineering of University of Minho (UMinho), recognised by the “FCT – Fundação para a Ciência e Tecnologia” (Foundation for Science and Technology), associated to the Department of Civil Engineering (DEC), with whom it shares resources and namely human resources.
Currently CTAC aggregates 25 researchers holding a PhD of which 20 are faculty professors of the Civil Engineering Department. Read more
Centro de Território, Ambiente e Construção
Escola de Engenharia da Universidade do Minho
Campus de Azurém
4800-058 Guimarães, Portugal
Phone: + 351 253 510 200 (517 206)
Fax: + 351 253 510 217
Email: geral@ctac.uminho.pt