System and method for optimizing passive control of oscillatory instabilities in turbulent flows

A system for effecting a control strategy in a reactive flow field of a turbulent flow system comprising:

• a processor;
• and
• a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by the processor, cause the processor to:
• a. receive data from a sensing element connected to the turbulent system incorporating at least a passive control strategy in the reactive flow field;
• b. obtain one or more flow field characteristics for the turbulent flow system selected from velocity, local reaction rate, temperature, and mixture fraction;
• c. construct a complex network from the plurality of nodes and links based on the flow field characteristics;
• d. obtain an adjacency matrix of size N×N describing the complex network;
• e. find network measures to characterize the topological features of the network selected from betweenness centrality, degree, closeness centrality, transitivity and local clustering coefficient;
• f. identify one or more critical regions of a reactive flow field using topological features of the constructed complex network;
• and
• g. apply one or more modifications to the passive control strategy based on the identified one or more critical regions.

A non-transitory machine-readable storage medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• a) receiving data from a sensing element connected to the turbulent system incorporating a control strategy comprising at least a passive control strategy in the reactive flow field;
• b) obtaining one or more flow field characteristics for the turbulent flow system selected from velocity, local reaction rate, temperature, and mixture fraction;
• c) constructing a complex network from a plurality of nodes and a plurality of links based on the flow field characteristics;
• d) obtaining an adjacency matrix of size N×N describing the complex network;
• e) finding network measures to characterize one or more topological features of the network selected from betweenness centrality, degree, closeness centrality, transitivity and local clustering coefficient;
• f) identifying one or more critical regions of the reactive flow field using topological features of the constructed complex network;
• and
• g) applying one or more modifications to the control strategy based on the identified one or more critical regions.