Data for the publication: Efficient low-rank model order reduction of vibroacoustic problems under stochastic loads
Contributors
Hosting institution (3):
- 1. TU Braunschweig, Institute for Acoustics and Dynamics
- 2. TU Braunschweig, Institute for Numerical Analysis
Description
This dataset serves complimentary to the publication: Efficient low-rank model order reduction of
vibroacoustic problems under stochastic loads.
The README.txt explains important details about the codes and data found in this dataset. Due to prohibitive dataset size only some example files for the FEM procedure are given. The combination of low-rank and MOR approach is implemented in Matlab and the codes and relevant data can be found in this dataset.
Files
Additional details
Related works
- Is required by
- Preprint: 10.48550/arXiv.2408.08402 (DOI)
Funding
- Deutsche Forschungsgemeinschaft
- Sustainable and Energy Efficient Aviation EXC 2163/1
Dates
- Submitted
-
2024-09-01