Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912462942> ?p ?o ?g. }
- W2912462942 endingPage "25" @default.
- W2912462942 startingPage "14" @default.
- W2912462942 abstract "Previous experiments by Li and Juniper (2013) have shown that a hydrodynamically self-excited jet can synchronize with external acoustic forcing via one of two possible routes: a saddle-node (SN) bifurcation or a torus-death (TD) bifurcation. In this study, we use complex networks to analyze and forecast these two routes to synchronization in a prototypical self-excited flow – an axisymmetric low-density jet at an operating condition close to its first Hopf point. We build the complex networks using two different methods: the visibility algorithm and the recurrence condition. We find that the networks built with the visibility algorithm are high-clustering, hierarchical, and assortative in the degree of their vertices, although only the TD networks are scale free. Nevertheless, we find that the assortativity coefficient is a sufficiently sensitive indicator by which to distinguish between the SN and TD routes to synchronization and to forecast the onset of synchronization. As for the networks built with the recurrence condition, we find that their topological features differ between the two routes to synchronization, but vary predictably along either route. We quantify these variations using statistical measures such as the mean degree, spectral radius, and transitivity dimension. This study shows that complex networks can be a useful tool for distinguishing between the SN and TD routes to synchronization, and for forecasting the proximity of a system to its synchronization boundaries. These findings could open up new opportunities for complex networks to be used in the development of open-loop control strategies for hydrodynamically self-excited flows." @default.
- W2912462942 created "2019-02-21" @default.
- W2912462942 creator A5013664519 @default.
- W2912462942 creator A5041542499 @default.
- W2912462942 creator A5075010160 @default.
- W2912462942 date "2019-04-01" @default.
- W2912462942 modified "2023-10-14" @default.
- W2912462942 title "Complex network analysis of forced synchronization in a hydrodynamically self-excited jet" @default.
- W2912462942 cites W1513959779 @default.
- W2912462942 cites W1968016957 @default.
- W2912462942 cites W1978881519 @default.
- W2912462942 cites W1981510969 @default.
- W2912462942 cites W1985444098 @default.
- W2912462942 cites W1990837273 @default.
- W2912462942 cites W1991306266 @default.
- W2912462942 cites W1992746718 @default.
- W2912462942 cites W1993426687 @default.
- W2912462942 cites W1999898998 @default.
- W2912462942 cites W2001994500 @default.
- W2912462942 cites W2010461070 @default.
- W2912462942 cites W2010821195 @default.
- W2912462942 cites W2018045523 @default.
- W2912462942 cites W2018049970 @default.
- W2912462942 cites W2030909583 @default.
- W2912462942 cites W2033193852 @default.
- W2912462942 cites W2036116447 @default.
- W2912462942 cites W2038533006 @default.
- W2912462942 cites W2040704490 @default.
- W2912462942 cites W2045160912 @default.
- W2912462942 cites W2046812285 @default.
- W2912462942 cites W2055538060 @default.
- W2912462942 cites W2062856798 @default.
- W2912462942 cites W2064607805 @default.
- W2912462942 cites W2066834069 @default.
- W2912462942 cites W2071386589 @default.
- W2912462942 cites W2073529482 @default.
- W2912462942 cites W2077337202 @default.
- W2912462942 cites W2080811690 @default.
- W2912462942 cites W2081681829 @default.
- W2912462942 cites W2084329620 @default.
- W2912462942 cites W2084517518 @default.
- W2912462942 cites W2086747960 @default.
- W2912462942 cites W2087192925 @default.
- W2912462942 cites W2087321169 @default.
- W2912462942 cites W2093446113 @default.
- W2912462942 cites W2098841693 @default.
- W2912462942 cites W2104102786 @default.
- W2912462942 cites W2110385488 @default.
- W2912462942 cites W2112090702 @default.
- W2912462942 cites W2116539023 @default.
- W2912462942 cites W2116932688 @default.
- W2912462942 cites W2129533850 @default.
- W2912462942 cites W2131273370 @default.
- W2912462942 cites W2148606196 @default.
- W2912462942 cites W2151150374 @default.
- W2912462942 cites W2157082398 @default.
- W2912462942 cites W2163205857 @default.
- W2912462942 cites W2163498930 @default.
- W2912462942 cites W2170325886 @default.
- W2912462942 cites W2171645546 @default.
- W2912462942 cites W2184658058 @default.
- W2912462942 cites W2230600180 @default.
- W2912462942 cites W2610012823 @default.
- W2912462942 cites W2674658089 @default.
- W2912462942 cites W2751126655 @default.
- W2912462942 cites W2786651973 @default.
- W2912462942 cites W2799284124 @default.
- W2912462942 cites W2890272209 @default.
- W2912462942 cites W2911617746 @default.
- W2912462942 cites W2963768879 @default.
- W2912462942 cites W3099377354 @default.
- W2912462942 cites W3102002095 @default.
- W2912462942 cites W3103362336 @default.
- W2912462942 cites W3106395512 @default.
- W2912462942 cites W4252911570 @default.
- W2912462942 doi "https://doi.org/10.1016/j.ijheatfluidflow.2018.12.004" @default.
- W2912462942 hasPublicationYear "2019" @default.
- W2912462942 type Work @default.
- W2912462942 sameAs 2912462942 @default.
- W2912462942 citedByCount "14" @default.
- W2912462942 countsByYear W29124629422019 @default.
- W2912462942 countsByYear W29124629422020 @default.
- W2912462942 countsByYear W29124629422021 @default.
- W2912462942 countsByYear W29124629422022 @default.
- W2912462942 countsByYear W29124629422023 @default.
- W2912462942 crossrefType "journal-article" @default.
- W2912462942 hasAuthorship W2912462942A5013664519 @default.
- W2912462942 hasAuthorship W2912462942A5041542499 @default.
- W2912462942 hasAuthorship W2912462942A5075010160 @default.
- W2912462942 hasConcept C114614502 @default.
- W2912462942 hasConcept C119947313 @default.
- W2912462942 hasConcept C121332964 @default.
- W2912462942 hasConcept C121864883 @default.
- W2912462942 hasConcept C126255220 @default.
- W2912462942 hasConcept C136764020 @default.
- W2912462942 hasConcept C162932704 @default.
- W2912462942 hasConcept C184720557 @default.
- W2912462942 hasConcept C2777127463 @default.