Data · dataset · 2026
Physics-based emulation of spring reverberation
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32641557.v1
Physical modelling for sound synthesis aims to capture the underlying physics of a system via a mathematical description.
Description
The main draw of this approach is getting authentic digital reproductions of the vibrational behaviour, as is encoded in the underlying physics. A typical focus beyond accurate modelling is arriving at a light-weight computational algorithm including real-time control over physical parameters.<br><br>This thesis focuses on physical modelling of spring reverberation.
In past physics-based research, a good reproduction is achieved with a simplified helical spring model, but this does not fully capture the spring geometry. Attempts with a more complex model, typically employing a `thin spring' formulation in which Timoshenko effects are ignored, have not yet seen a close match with measurements.<br><br>The lack of success with such models so far is largely down to simplifications at the input and output.
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On this basis, the work here sets out to improve on past thin spring attempts by now incorporating the magnetic beads' dynamics at the input and output. A more complex damping model is also considered.<br><br>The magnetic beads and their supporting wires are modelled as stepped beams. Experimental work using a high-speed camera informs how input and output are defined in a model with beads incorporated.
Developing an alternative thin spring formulation allows modelling the full system with the same set of equations. The methodology to arrive at a discrete-time modal algorithm starting from the reverb tank formulation uses the Chebyshev pseudospectral method and impulse invariant method to discretise space and time, respectively.<br><br>The main outcome of the improved physical model is achieving, for the first time, a close match with a measured impulse response starting from a helical spring model that fully captures the helical geometry.
The reproduction of a measurement's main features is verified visually via both spectrogram and time-domain plots; aural comparisons concur. The final algorithm is real-time capable, and a proof-of-concept audio plugin demonstrates scope for online control of physical parameters.
Links
Where it is published
- DOI doi.org/10.17034/32641557.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science
- Inferred from text
- Audio 75%
Provenance · 3 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/32641557 | 10 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/32641557 | 10 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/32641557 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |