A two-dimensional structural-acoustic radiation benchmark

Published: 9 Jul 2019 | Version 1 | DOI: 10.17632/mhyk7r6v2z.1

Description of this data

A two-dimensional finite element (FE) model is presented, which can be used to validate methods and design criterions for vibroacoustics. A simple beam-like structure, providing different transmission paths for some structure-borne point excitation, is connected to a beam. The latter is acting as a radiator. The acoustic fluid is modeled by means of acoustic elements, and two different boundary conditions are implemented. This results in one model providing free-field conditions (halfspace) and one with a reverberant setting.

The model, therefore, enables one to analyze a full acoustic chain of effects (transmission of vibration through the structure and radiation) in a sufficiently complex setting with moderate model size.

For an application and a more detailed description of the model see:
Sicklinger S. and Ullmann, R.: "Structural power as an acoustic design criterion for the early phase of product design", International Conference on Noise and Vibration Engineering, Leuven, 2018.

Experiment data files

Related links

Latest version

  • Version 1


    Published: 2019-07-09

    DOI: 10.17632/mhyk7r6v2z.1

    Cite this dataset

    Ullmann, Rupert; Sicklinger, Stefan (2019), “A two-dimensional structural-acoustic radiation benchmark”, Mendeley Data, v1 http://dx.doi.org/10.17632/mhyk7r6v2z.1


Views: 72
Downloads: 18


Benchmarking, Structural Dynamics, Acoustic Radiation


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.