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Noise, Vibration, and Harshness (NVH) performance of vehicles is an all-encompassing study of hearing and feeling vibration as it relates to end user experience. The collection of glass in a vehicle can represent a large surface area, and can have a significant effect on NVH performance. Some of the most important glazing positions in relationship to the driver are the front doors, due to the proximity to the driver. Novel glass laminate constructions can provide acoustic improvement for these body positions over typically used standard glazings. The performance of these constructions will be discussed in terms of: acoustics, glass closing and door slam survivability, and solar performance.

This paper presents the upgrades and improvements needed to bring an old and seldom used reverberation room test suite up to current standards. The upgrades and improvements included eliminating a below-floor pit that was open to the reverberation room, improving the acoustical diffusion within the room, enlarging the opening between the reverberation room and an adjacent anechoic chamber, renovating the anechoic receiving chamber, constructing an innovative sound transmission loss test fixture, and installing of a high power reverberation room sound system.

Vehicle interior acoustic performance is an important part of customer satisfaction. Radiating panels enclosing the vehicle cabin are very important for vehicle interior quietness. One of the most critical vehicle panels for the engine noise propagation to the vehicle interior is the dash panel. Most of the engine noise propagates through the dash panel to the vehicle interior. The dash material density, thickness and its damping properties significantly influence the dash panel sound transmission performance. In this study, the dash design of “Vehicle A” has been evaluated using the Statistical Energy Analysis (SEA) modeling and NVH testing tools. SEA and physical testing of 2′×2′ square sample panels were conducted on different dash materials and lamination materials. Dash component level and vehicle level SEA to TEST correlation results are reported to highlight the NVH performance of the dash design as well as the SEA prediction capability and its applicability in vehicle design.

Customer annoyance of steady-state wind noise correlates well with loudness. A common objective metric to capture average loudness is the ISO532B or Zwicker method. However, it has been shown previously that time-varying wind noise can also significantly affect customer annoyance, independent of average loudness. Causes of time-varying wind noise include wind buffeting generated by other vehicles, and also wind gusting. This paper summarizes the development of an objective metric that correlates well with subjective impressions of wind gusting/buffeting. The model is based on a general impulsive noise model with parameters tuned specifically for time-varying wind characteristics. The model consists of a psychoacoustic processing stage followed by a gusting detection stage, where the psychoacoustic stage is extracted from a time-varying loudness model. The output of the gusting model is a time series that indicates the location and “intensity” of wind gusts.

It is well known that customer perception of the annoyance of steady-state wind noise can be fairly well characterized by calculating the loudness of such sounds. Commonly used is the ISO532B or Zwicker method [1]. What is not known, however, is how a customer would react to time-varying wind noise. Such situations can occur when a vehicle experiences cross-wind conditions on the highway. Turbulent air flow generated by either a passing vehicle or when traveling in the wake of another vehicle can cause the wind noise to take on time-varying characteristics. The time-varying wind noise created by such situations is commonly referred to as “buffeting.” Customer complaint field data indicates that wind buffeting is a source of annoyance, but the level of the effect has never been quantified. In this study, binaural sounds were recorded inside an aeroacoustic wind tunnel. Varying degrees of buffeting were simulated using a “blocker” vehicle situated in front of the test vehicle.