Nonlinear, statistical models of tire-pavement noise
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[1] Pennsylvania State University
Pennsylvania State University
Borough of State College, Estados Unidos
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- Localización: Noise Control Engineering Journal, ISSN 0736-2501, Vol. 64, Nº. 3, 2016, págs. 324-334
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Tire-pavement noise is the result of a complex system of noise generation mechanisms and is affected by several different pavement and atmospheric parameters. Accurately predicting tire-pavement noise from given a set of parameters has proven difficult for researchers. The purpose of this research was to explore a wealth of pavement, atmospheric and noise data taken at the MnROAD pavement test facility and to develop a model to predict tire-pavement noise on asphalt pavements. Using a series of sub-models, variables significant to noise generation were identified. Finally, two variations of a model of noise generation were developed, each capable of predicting one-third octave band on-board sound intensity (OBSI) spectra. The model was developed using a hybrid statistical-experimental approach and was able to predict overall OBSI levels to within 1.5 dB for 80-90% of the pavements tested.
