Particle velocity sensors for enhancing vehicle simulations

Abstract

Numerical simulations are often required in the automotive industry to optimize not only the acoustic performance, but also the durability and crash behaviour of cars. Therefore, validating the model when a prototype is built is remarkably important for improving the current design. Most conventional updating techniques for adjusting the acoustic numerical models inside the cabin use microphones located at different reference positions to compare predictions with real measurements. However, sound pressure is a scalar quantity which does not give information about the often unknown excitation distribution across the structure. This problem can also be addressed by using particle velocity sensors close to the radiating surfaces due to their vector nature. In this paper, the use of particle velocity sensors for updating and validating acoustic models is studied. Furthermore, the spatial resolution for pressure and velocity methods is derived. It has been shown that the use of a combined solution (pressure and particle velocity sensors) improves the numerical model optimization since both materials and excitation sources can be characterized in situ.

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