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Study on Simulation Method for Sound Quality Evaluation of Vehicle Exhaust Noise
SHI Yan;;SHU Ge-qun;BI Feng-rong
2011, 31 (5):
62-66.
DOI: 10.3969/j.issn.1006-1355-2011.05.015
Subjective evaluation of vehicle’s exhaust noises is executed by paired comparison jury test, and the sound quality prediction model of vehicle exhaust noise is established based on back-propagation (BP) neural network. The acoustic characteristic of muffler is obtained through the computational fluid dynamics simulation, and the frequency spectrum of the exhaust noise of the vehicle with muffler fitted is derived. The objective parameters of the simulated exhaust noise, such as loudness, sharpness, roughness and so on, are calculated based on psychoacoustics theory. Then, the sensory pleasantness is simulated by importing these objective parameters into the sound quality prediction model which is established previously. Thus, the whole numerical simulation method for sound quality evaluation of vehicle’s exhaust noise is fulfilled. The reliability of the simulation method is verified by comparison of the simulation results with the experimental data.
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