Identification and contribution analysis of vehicle interior noise based on acoustic array technology

Bao Guozhi,Xia Zhaowang,Shao Guangsheng,Den Jianghua

doi:10.1177/1687814017730031

Abstract

This article proposes an advanced far-field acoustic hologram for vehicle sound source identification and investigates a method of performing contribution analyses in the far field. The hologram is applied for statistically optimized near-field acoustic holography used to identify vehicle sound sources (internal and external). An advanced far-field acoustic hologram is first proposed to improve the spatial resolution of low-frequency sound source locations in the far field. In addition, an acoustic contribution analysis based on near-field acoustic holography is used to provide a direction for low-noise optimization design. Next, a new sound source identification and low-noise technology is explored via the aforementioned methods and applied for sound source identification and acoustic contribution analyses for a vehicle. The analysis results showed that in the process of sound source identification, the contribution of each sound source can be simultaneously sorted, and this finding can help guide research on the low-noise control of a vehicle.

Highlights

Exposure to environmental noise can have a number of adverse health effects
The acoustic contribution analysis method based on statistically optimized near-field acoustic holography (SONAH) can be divided into the following steps: first, perform the identification, localization, and acoustic information reconstruction of the sound source according to the measured sound pressure distribution from a holographic surface; second, conduct the sound pressure prediction to any position of the interior sound field; last, perform an acoustic contribution analysis according to the predicted far-field pressure and reconstructed sound source information
This article proposed an advanced far-field acoustic hologram and applied it for exterior sound source identification at a low frequency, and the results show that its accuracy is significant greater than that of the traditional far-field acoustic hologram

Summary

Introduction

Exposure to environmental noise can have a number of adverse health effects. Noise associated with road traffic is a particular public health concern because it is pervasive and increasing.[1]. Far-field acoustic holography and beam-forming technology present problems with low spatial resolution. The numerical simulation method is adopted in the majority of acoustic contribution analyses; this method cannot truly reflect the vehicle vibrations and noise characteristics under actual working conditions.[13] The acoustic field on one side of the holographic surface must be free when applying spatial transformations to sound fields based on near-field acoustic holography (NAH)[14] and statistically optimized near-field acoustic holography (SONAH).[15]. An advanced far-field acoustic hologram is first proposed to improve the spatial resolution of lowfrequency sound sources located in the far field. The wave superposition algorithm is used to reconstruct acoustic pressures on a reconstruction surface to provide the direction for the optimization design of low noise. Sound field predictions via particle velocity are verified by the experimental results

Materials and methods

Results and discussion

Conclusion