Actran SEA

Efficient mid- and high- vibro-acoustic CAE module

Statistical Energy Analysis approach offers an efficient solution to study noise and vibration propagation problematics inside large systems at mid- and high-frequencies by reducing the global system to a set of coupled subsystems and linear equations describing the energy incomes, outcomes, transfers and dissipations in-between the created subsystems.

From FEA to SEA

Building a SEA model with classical approaches usually requires an access to experimental data or analytical expressions limiting the range of geometrical objects that could be handled. With Actran SEA module and its Virtual SEA approach, CAE engineers can use their existing Finite Elements vibro-acoustic models (mode shape and eigen values) to create a SEA model. Based on automatic or user-defined subsystems definition, SEA parameters are efficiently extracted from the Finite Elements model to perform sound and vibration analysis at mid- and high frequencies together with transfer path analysis regardless the availability of SEA expertise or experimental-based information. Combined with a unique frequency extrapolation method, the Actran SEA module offers the possibility to extend the frequency range validity of existing vibro-acoustic finite elements models to high frequency analysis.


Complete system vibro-acoustic performances can be predicted thanks to realistic physical excitation including spatially and frequency dependent distributed load and pressure as well as diffuse sound field and turbulent boundary layer.

Sample Applications:
  • Automotive: : vibro-acoustic response and transfer path analysis of complete vehicle submitted to structural and acoustical loads.
  • Aerospace: Vibration response and transfer path analysis of fuselage submitted to turbulent boundary layer or diffuse sound field excitations. Rocket payload integrity analysis at take-off.
  • Shipbuilding: Onboard noise prediction due to machinery noise and flow induced vibrations.
  • Railway: Interior acoustic comfort prediction of train coach.
  • Off-road Vehicles: Cabin noise comfort prediction.