Thermoacoustic Instability Experiments with Rate-Dependent Bifurcation Delay

This dataset originates from experiments and modeling of a stochastic subcritical Hopf bifurcation in a thermoacoustic combustion system. It examines the effect of a finite ramping rate of the bifurcation parameter on tipping points, compared to quasi-steady changes. The data provides evidence of rate-dependent bifurcation delay and dynamic hysteresis.

Use Cases

• Model the statistic of bifurcation delays using the derived surrogate model to predict tipping points.
• Analyze the relationship between the rate of change of the bifurcation parameter and the amplitude of the observed state transition.
• Compare experimental results of thermoacoustic instability under quasi-steady versus finite ramping rate scenarios.
• Investigate the stochastic dynamics underlying the observed dynamic hysteresis when the parameter is ramped back.

Strengths

• Data is derived from controlled experiments in a combustion chamber, providing empirical evidence.
• Includes analysis of both quasi-steady and finite-rate parameter changes for comparison.
• Dataset is associated with a peer-reviewed study on a specialized topic in nonlinear dynamics.

Limitations

• Specific data structure (rows, columns, file formats) is unknown, complicating direct analysis.
• The dataset scope is narrow, focused on a specific experimental setup (thermoacoustic instability), limiting generalizability.
• Sample size and data granularity are not specified.

Provenance

Source

Dryad digital repository.

Collection Method

Experimental data from a combustion chamber and derived surrogate modeling.

Freshness

Last updated in June 2020.