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- W4313647940 abstract "Abstract The coupling interactions between deformable structures and unsteady fluid flows occur across a wide range of spatial and temporal scales in many engineering applications. These fluid-structure interactions (FSI) make it challenging to predict flow physics accurately. In the present work, two multi-layer network approaches are proposed that characterize the interactions between the fluid and structural layers for an incompressible laminar flow over a two-dimensional compliant flat plate at a 35-degrees angle of attack. In one approach, the wake vortices and bound vortexlets form the nodes of the network with the edges defined by induced velocity. In the other approach, coherent structures (fluid modes) contributing to the kinetic energy of the flow and structural modes contributing to the kinetic energy of the compliant structure constitute the network nodes. The energy transfers between the modes are extracted using a perturbation approach. The network structure of the FSI system is further simplified using the community detection algorithm in the vortical approach and by selecting dominant modes in the modal approach. Network measures are used to reveal the temporal behavior of the individual nodes within the simplified FSI system. Predictive models are then built using both data-driven and physics-based methods. We conclude by investigating the controllability of the modal interaction network. This work sets the foundation for network-theoretic reduced-order modeling of fluid-structure interactions, generalizable to other multi-physics systems." @default.
- W4313647940 created "2023-01-07" @default.
- W4313647940 creator A5037019234 @default.
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- W4313647940 date "2023-01-06" @default.
- W4313647940 modified "2023-10-18" @default.
- W4313647940 title "Network-theoretic modeling of fluid-structure interactions" @default.
- W4313647940 doi "https://doi.org/10.21203/rs.3.rs-2432336/v1" @default.
- W4313647940 hasPublicationYear "2023" @default.
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