The Journal of the Acoustical Society of America · 1989 · 89 citations · 0 references
ArchitectureArchitectural EngineeringComputational EngineeringAcoustic DesignAcousticsComputational AcousticsAcoustic ModelingArchitectural AcousticsNoiseNoise MeasurementNoise PredictionRoom AcousticsAcoustic Performance ModelingAcoustic Ray TracingComputational Room AcousticsNumerical SimulationRay Tracing AcousticsRoom Acoustics ModelingSound AttenuationSound Level Prediction
The study introduces the Rayscat computer model to predict noise levels in empty or fitted rooms. The model uses ray‑tracing, incorporating the room’s geometry and varied fittings, and its predictions are validated against experimental measurements. Experiments show that fitting distribution significantly affects noise levels, and the Rayscat predictions closely match the measured data.
This article describes the rayscat computer model, for prediction of noise levels in empty or fitted rooms. The model is based on a ray-tracing technique and takes into account both the real geometry of the room and areas with different fittings (furniture, machines, storage, etc.). Experimental results obtained in a test room are presented, demonstrating the influence of the fitting distribution on noise levels. Finally, the experimental results are compared with those obtained by numerical simulation using the rayscat model. Predicted values agree closely with measured ones.