Development of an Annoyance Prediction Model for simultaneous Exposure to Noise and Vibrations
Final Report Abstract
Different prediction models for the total annoyance of noise and seat vibration inside vehicles, using commercial vehicles as an example, have been developed. With the help of the prediction models based on measurement signals, the annoyance perceived by the drivers can be predicted without carrying out elaborate perception experiments. One focus was on the comparison between the annoyance prediction of noise without vibrations and noise with simultaneous seat vibrations. By developing both types of prognosis models, it is possible to compare and assess whether the additional vibration results in an increase in annoyance or whether a unimodal consideration of the situation, based only on the sound pressure, is sufficient. Based on the chosen evaluation method, the ratio of annoyance of different vibro-acoustic vehicle scenes can be calculated, i.e. how much more annoying one immission situation is compared to the other (MAR-Multi Model Annoyance Ratio). In addition, the ratio of the annoyance of an acoustic scene between the equivalent or another vibro-acoustic scene can be calculated. In order to extend the application of the proposed prediction models besides the qualitative comparison of immission situations, the data were transformed to a verbal level, so that additionally each immission situation can be divided into 5 different categories from "not annoying" to "very annoying" (MARI-Multimodel Annoyance Rating Index). A further focus was to investigate which signal properties of sound and vibration have an influence on the total annoyance, how they interact and whether psychophysical parameters are better suited for prediction than already established frequency-weighted averaged parameters. The results show that within the immission examples investigated, noise has a greater influence on total annoyance than vibration and that an interaction of sound and vibration can improve the prediction. At high sound pressure levels, vibration seems to have less influence on the annoyance of the immision situation than at low sound pressure levels, which is equivalent to a masking effect. Moreover, the results show that the predictions with psychoacoustic parameters can predict the acoustic and the vibro-acoustic immission situations more than 10% more efficient. Especially low-frequency vibration signals, with comparable frequency-weighted vibration intensities, lead to different annoyance ratings. With the knowledge gained from the perception experiments and an extensive database as a basis for modeling, a foundation has been created to develop, test and validate further vibro-tactile perception-based parameters, which can extend and improve existing prediction models for annoyance in vehicles in the future.
Publications
-
“Lästigkeit bei gleichzeitiger Exposition von Schall und Schwingungen,” in 7. in DAGA 2020 - 46nd German Annual Conference on Acoustics, 2020
M. Maravich & M. E. Altinsoy
-
“ Vergleich von Schall und Sitzschwingungen in verschiedenen Fahrzeugtypen hinsichtlich ihrer Wahrnehmung,” in DAGA 2021 - 47nd German Annual Conference on Acoustics, 2021
M. Maravich & M. E. Altinsoy
-
Influence of Seat Vibration Frequency on Total Annoyance and Interaction Effects Caused by Simultaneous Noise and Seat Vibrations in Commercial Vehicles. Vibration, 5(2), 183-199.
Maravich, Maria & Altinsoy, Ercan
-
Annoyance Caused by Simultaneous Noise and Vibration in Commercial Vehicles: Multimodal Interaction and the Effects of Sinusoidal Components in Recorded Seat Vibrations. Vibration, 6(3), 536-555.
Maravich, Maria Mareen; Rosenkranz, Robert & Altinsoy, M. Ercan
