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Journal ArticleDOI

Coupled interaction between unsteady flame dynamics and acoustic field in a turbulent combustor

TLDR
A possible asymmetric bidirectional coupling between q ˙ ' and p ' is observed to exert a stronger influence on p ' than vice versa, and the directional property of the network measure, namely, cross transitivity is used to analyze the type of coupling existing between the acoustic field and the heat release rate fluctuations.
Abstract
Thermoacoustic instability is a result of the positive feedback between the acoustic pressure and the unsteady heat release rate fluctuations in a combustor. We apply the framework of the synchronization theory to study the coupled behavior of these oscillations during the transition to thermoacoustic instability in a turbulent bluff-body stabilized gas-fired combustor. Furthermore, we characterize this complex behavior using recurrence plots and recurrence networks. We mainly found that the correlation of probability of recurrence ( C P R), the joint probability of recurrence ( J P R), the determinism ( D E T), and the recurrence rate ( R R) of the joint recurrence matrix aid in detecting the synchronization transitions in this thermoacoustic system. We noticed that C P R and D E T can uncover the occurrence of phase synchronization state, whereas J P R and R R can be used as indices to identify the occurrence of generalized synchronization (GS) state in the system. We applied measures derived from joint and cross recurrence networks and observed that the joint recurrence network measures, transitivity ratio, and joint transitivity are useful to detect GS. Furthermore, we use the directional property of the network measure, namely, cross transitivity to analyze the type of coupling existing between the acoustic field ( p ′) and the heat release rate ( q ˙ ′) fluctuations. We discover a possible asymmetric bidirectional coupling between q ˙ ′ and p ′, wherein q ˙ ′ is observed to exert a stronger influence on p ′ than vice versa.Thermoacoustic instability is a result of the positive feedback between the acoustic pressure and the unsteady heat release rate fluctuations in a combustor. We apply the framework of the synchronization theory to study the coupled behavior of these oscillations during the transition to thermoacoustic instability in a turbulent bluff-body stabilized gas-fired combustor. Furthermore, we characterize this complex behavior using recurrence plots and recurrence networks. We mainly found that the correlation of probability of recurrence ( C P R), the joint probability of recurrence ( J P R), the determinism ( D E T), and the recurrence rate ( R R) of the joint recurrence matrix aid in detecting the synchronization transitions in this thermoacoustic system. We noticed that C P R and D E T can uncover the occurrence of phase synchronization state, whereas J P R and R R can be used as indices to identify the occurrence of generalized synchronization (GS) state in the system. We applied measures derive...

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Citations
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Journal ArticleDOI

Convolutional neural networks to predict the onset of oscillatory instabilities in turbulent systems.

TL;DR: In this paper, the authors extract the peculiar pattern of phase space attractors during the regime of intermittency by constructing recurrence networks corresponding to the phase space topology and train a convolutional neural network to classify the periodic and aperiodic structures in the recurrence network and define a measure that indicates the proximity of the dynamical state to the onset of oscillatory instability.
Journal Article

Convolutional neural networks to predict the onset of oscillatory instabilities in turbulent systems

TL;DR: This paper extracts the peculiar pattern of phase space attractors during the regime of intermittency by constructing recurrence networks corresponding to the phase space topology and defines a measure that indicates the proximity of the dynamical state to the onset of oscillatory instability.
Journal ArticleDOI

Attenuation of thermoacoustic combustion oscillations in a swirl-stabilized turbulent combustor.

TL;DR: In this paper, a steady air jet from the injector rim was used to suppress combustion oscillations, and the loss of the primary hub in the turbulence network played an important role in the degeneration of combustion oscillation.
Journal ArticleDOI

Synchronization framework for modeling transition to thermoacoustic instability in laminar combustors

TL;DR: In this article, a model based on the framework of synchronization was proposed to describe a thermoacoustic system and capture the multiple bifurcations that such a system undergoes.
Journal ArticleDOI

Closeness-centrality-correlation for detecting interdependency between coupled systems

TL;DR: A novel method, called closeness-coding, which automates the very labor-intensive and therefore time-heavy and expensive process of synchronization between coupled systems.
References
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Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Journal ArticleDOI

Recurrence Plots of Dynamical Systems

TL;DR: In this article, a graphical tool for measuring the time constancy of dynamical systems is presented and illustrated with typical examples, and the tool can be used to measure the time complexity of a dynamical system.
Journal ArticleDOI

Practical method for determining the minimum embedding dimension of a scalar time series

TL;DR: A practical method to determine the minimum embedding dimension from a scalar time series that has the following advantages: does not contain any subjective parameters except for the time-delay for the embedding.
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Dynamical assessment of physiological systems and states using recurrence plot strategies

TL;DR: This paper illustrates how recurrence plots can take single physiological measurements, project them into multidimensional space by embedding procedures, and identify time correlations (recurrences) that are not apparent in the one-dimensional time series.
Journal ArticleDOI

Recurrence-plot-based measures of complexity and their application to heart-rate-variability data.

TL;DR: Applying measures of complexity based on vertical structures in recurrence plots and applying them to the logistic map as well as to heart-rate-variability data is able to detect and quantify the laminar phases before a life-threatening cardiac arrhythmia occurs thereby facilitating a prediction of such an event.
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