High frequency noise model based on statistical energy method parameter sensitivity analysis

Abstract

According to the basic principle of statistical energy method, the high frequency SEA model of the full vehicle is established. Through the comparison of simulation and test results, the error of power based noise reduction (PBNR) and interior sound pressure level response is less than three dB, which proves the accuracy of high frequency simulation model. Through the design of different schemes, the sensitivity analysis of parameters such as material parameters, internal loss factor and leakage rate to the model is obtained. The research results show that the accuracy of material parameters, internal loss factor and leakage rate can improve the accuracy of high-frequency simulation model. The sensitivity analysis can provide some ideas for vehicle high frequency noise model adjustment and modification.

Damping determination by the half power bandwidth method for a rectangular flat plate with bitumen damping layer application

“…They focused on investigating the effect of the thickness of the viscoelastic layer as well as the temperature change to the damping properties in the -40°C to +80°C temperature range. Ruijiao et al [18] inspected a full vehicle case with SEA and examined the influence of various parameters on the results, such as that of the leakage, the loss factors and the acoustic materials. Consequenty, all of these parameters directly affected the simulation results.…”