Data · dataset · 2026
Supplementary data for: An extended method for analysing the hydroacoustic transfer functions of fluid-carrying test objects
Listed in TUDOdata
Supplementary data for: An extended method for analysing the hydroacoustic transfer functions of fluid-carrying test objects This data set contains the data used for the corresponding publication: CAD model of the entire test rig and simulation domain for the finite element method (FEM) simulations.
Description
Test setup as a flow chart with all sensors. Data from all sensors as a machine-readable JSON file and as PDF tables.
All diagrams used in the associated publication. All data as CSV files underlying the associated diagrams. List of all CSV files with diagram affiliation as machine-readable JSON and as PDF table.
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Abstract of related publication This article investigates the acoustic transmission behaviour of fluid-carrying systems under static and flow conditions. For the experimental analysis, sound field decomposition is used to determine the forward- and backward-travelling plane waves, the effective speed of sound, the flow velocity and the damping. Three extended decomposition variants are presented.
The multiple sound-state decomposition (MSD) improves robustness by evaluating several sound-states simultaneously. The multiple frequency decomposition (MFD) yields consistent frequency-independent parameters and allows frequency-dependent damping models. The multiple sound-state multiple frequency decomposition (MSMFD) combines both in an overdetermined formulation and enables robust identification of the effective speed of sound in air, water and dilute water-air mixtures.
The mean flow velocity can also be included in the inverse formulation, but is determined with considerably larger uncertainty in the investigated low-Mach-number liquid configurations. The Acoustic Transmission Line (ATL) method based on four-pole theory is used to model the transmission behaviour. It is extended by funnel-shaped elements and by the directional complex propagation constants γ+ and γ-, which account for damping and mean flow.
Structural compliance is included through section-wise effective speeds of sound. The model is validated against acoustic FEM simulations with and without fluid-structure interaction (FSI), one-dimensional method-of-characteristics (MOC) simulations and measurements from an experimental test rig. The results show good agreement for the dominant transmission behaviour within the investigated frequency range.
The developed methods provide a physically interpretable basis for future investigations of cavitating flows and their acoustic properties. Acknowledgement Some results were obtained as part of IGF project 22709 / N, which is funded by DLR / BMWE. The FEM calculations were performed with Ansys Mechanical 2023 on the Linux HPC cluster at TU Dortmund University, which is funded by the DFG.
(Project no. 271512359).
Links
Where it is published
- Dataverse dataset page data.tu-dortmund.de/dataset.xhtml?persistentId=doi%3A10.17877%2FTUDODATA-2025-MEU1… ↗
landing page · from data tu dortmund de
- DOI doi.org/10.17877/tudodata-2025-meu1wusv ↗
DOI / persistent id · from data tu dortmund de
Catalogue records · 1
- Dataverse API data.tu-dortmund.de/api/datasets/:persistentId/?persistentId=doi%3A10.17877%2FTUDO… ↗
metadata API · from data tu dortmund de
Topics
- Stated by source
- Engineering
- From keywords
- Chemistry · Engineering · Humanities · Mathematics & Statistics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Fluid-structure interaction and aeroacoustics 75% · Simulation 75% · Tabular 65%
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TUDOdata | doi:10.17877/TUDODATA-2025-MEU1WUSV | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401206 | enrichment · data tu dortmund de | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].dataverse_subject:engineering | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:psychology-behavioral | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · data tu dortmund de | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · data tu dortmund de | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| description | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /description |
| publication_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| title | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /name |
| updated_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| version_label | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 |