CFD results for fluctuating surface pressure from a side mirror. CFD results from OpenFOAM imported into VA One. (Image courtesy of ESI Group.)
This full-frequency simulation software helps engineers to solve noise, vibration and harshness (NVH) problems for the transportation industries. The software offers these engineers a combination of finite element, boundary element and statistical energy analysis tools.
Using VA One, engineers can assess the noises including wind that result from turbulent flows, such as moving past a car in motion. These noises are a necessity to solve as they can affect a driver’s concentration and the voice recognition functions in the vehicle.
The latest release improves the multi-core processing that reduces the computational time of a simulation. The boost in processing has improved the read, write and solve steps during the solver runtime.
Another improvement to VA One gives engineers the power to apply wavenumber spectra to statistical energy analysis (SEA). During the preprocessing stage, the engineer can define the loads of a CFD model to VA One. These CFD results can come for various CFD software packages.
Previously, analytical models were used to fit the turbulent flow to an SEA model, which would affect the accuracy of the results. To gain this accuracy, engineers would need to choose more computationally intensive modeling. ESI claims that this improvement will bypass this issue.
Other improvements to VA One include:
- Non-uniform acoustic finite element (FE) mean flow predictive tools to model muffler transmission loss (TL) in mufflers and other porous media (fiberglass)
- Faster multi-core boundary element method (BEM) calculations for radiated noise calculations to simulate exterior noises from powertrains, electronics and generators
“Customers have asked us for support in solving larger models, especially boundary element models, which require a long time to compute, particularly for higher frequencies,” said Chad Musser, director of Vibro-Acoustics Solution at ESI Group. “These new enhancements to VA One take advantage of multi-core processing on individual machines as well as distributed machines (clusters), and provide significant improvements in overall model runtime"