An image-guided computational approach to inversely determine in vivo material properties and model flow-structure interactions of fish fins

摘要: Abstract We present an image-guided computational approach for inversely determining in vivo material properties of fish fins and simulating flow-structure interactions (FSI) fin deformations based on a highly realistic hybrid membrane-beam structure. This is established by coupling imaged-based reconstruction, genetic-algorithm (GA)-based optimization, finite-element-method (FEM)-based structural dynamics model immersed-boundary-method (IBM)-based fluid (CFD) solver. An inverse-problem procedure developed to determine from prescribed kinematic motions obtained high-speed images. The validated through two tests including flexible pitching plate shell-beam structured heaving motion. FSI (forward problem) benchmark flow-induced vibration beam attached fixed cylinder uniform flow. integrated method then applied the analysis propulsion rainbow trout caudal with specific focus properties, deformations, hydrodynamic performances flow structures. demonstrate that, using reconstructed kinematics deformation videos, non-uniform can be determined inverse problem procedure. A fully-coupled simulation carried out outcome problem. results have shown feasibility accurately modeling quantitatively evaluating flexible-fin hydrodynamics swimming terms both chordwise spanwise thrust lateral forces, vortex dynamics.