Published January 10, 2025 | Version v1
Dataset Restricted

Data for the publication: Efficient low-rank model order reduction of vibroacoustic problems under stochastic loads

  • 1. ROR icon Technische Universität Braunschweig
  • 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

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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