Software, apps and computing methods

For its research activities, UMRAE has several scientific computing methods and softwares available. Thus UMRAE is developing its own acoustic acquisition and prediction tools (for smartphones and computing platforms), some of which are already broadcast: 

Software platform for the hosting of 3D acoustic propagation codes in closed spaces.
Open source software for noise prediction in the environment, developed in partnership with CNRS.
Free application for smartphone (Android) for measuring your sound environment, developed in partnership with the CNRS.

Upstream of these tools, UMRAE develops its own calculation codes and forecasting methods (emission and propagation models), for internal or external use (integrated in I-Simpa, NoiseModelling, OnoMap, etc.): 

3D calculation code (sound particles) for the simulation of acoustic propagation in complex environments (broadcast with I-Simpa).
Calculation code (rays method) for the modelling of acoustic propagation in an inhomogeneous half-open medium.
Calculation code (temporal method) for the modelling of 2D/3D acoustic propagation in complex spaces (Fortran and OpenCL versions™).
Calculation code (frequency method) based on the 2D resolution of the parabolic equation, for the modelling of acoustic propagation in an inhomogeneous half-open medium.
Antenna processing and analysis software for locating sound sources during vehicle pass-by (UMRAE internal software).
Calculation code for the modelling of road/tyre contact forces in the framework of rolling noise.
Prediction method of noise emitted by a vehicle travelling on a pavement surface from the measurement of its texture (use within the RST).
Simulation tool for assessing the noise radiated by a tyre rolling on a rough surface.
Toolboxes Scilab
Scilab calculation codes formalised by toolboxes integrating a large number of functions, ranging from noise emission and propagation models to acoustic indicators calculation.
Wind turbine noise : influence of turbulence on noise propagation prediction.
This application makes it possible to produce noise maps in closed environments from measurements made by the NoiseCapture application.