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fluid–structure interaction (fsi) simulations  (Macquarie Bank)

 
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    Macquarie Bank fluid–structure interaction (fsi) simulations
    Fluid–Structure Interaction (Fsi) Simulations, supplied by Macquarie Bank, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fluid%E2%80%93structure+interaction+(fsi)+simulations/fluid+structure+interaction++fsi++simulations/pm23962529-6-49-21
    Average 90 stars, based on 1 article reviews
    fluid–structure interaction (fsi) simulations - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: A fluid-structure interaction study using patient-specific ruptured and unruptured aneurysm: the effect of aneurysm morphology, hypertension and elasticity.
    Article Snippet: Two different blood pressure conditions (normal and hypertension, for all cases), and two different values of elastic modulus (1 and 2 MPa, for two cases) are tested.. Ruptured aneurysms (RA) generally displayed larger displacement at the dome, lower area–average WSS and higher von Mises stress than unruptured aneurysms (URA) regardless of elasticity or blood pressure condition.. RAs had a longitudinal expansion whereas URAs had a radial expansion, which was the key difference between the two types.



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    ( a ) Fluid–structure interaction <t>(FSI)</t> simulation illustrating the distribution of flow fields inside the microchannel and the deformation of the microcantilever; ( b ) Displacement of the cantilever beam corresponding to the four sensing elements (time series data) simulated using the finite element method (FEM) model; ( c ) Displacement amplitude response of the microcantilevers.
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    (A) Representative position tracking of a fluorescent bead in 1% agarose gel upon 10 Hz actuation. (B and C) 3D rendered phase and amplitude difference submerged in DMEM vs water at 37°C. (D) Fluid-structure interaction simulation model setup. (E) Simulation-predicted damping ratio as a function of the gel extrusion length. (F) Simulation-predicted damping ratio at varying viscosity and culture medium density with an extrusion length of 6.5 mm suggesting predominantly mass damping. (G and H) Simulation -predicted damping ratio at various agarose gel elastic moduli (G) and diameters (H) with an extrusion length of 6.5 mm. (I and J) Angle of rotation along central-boundary axis. (K) Angle of rotation along Y axis. (L) Increased deflection along Y axis. (M) Constant Y phase speed under different actuation frequencies suggesting non-dispersive shear wave propagation along the Y axis.
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    (A) Representative position tracking of a fluorescent bead in 1% agarose gel upon 10 Hz actuation. (B and C) 3D rendered phase and amplitude difference submerged in DMEM vs water at 37°C. (D) Fluid-structure interaction simulation model setup. (E) Simulation-predicted damping ratio as a function of the gel extrusion length. (F) Simulation-predicted damping ratio at varying viscosity and culture medium density with an extrusion length of 6.5 mm suggesting predominantly mass damping. (G and H) Simulation -predicted damping ratio at various agarose gel elastic moduli (G) and diameters (H) with an extrusion length of 6.5 mm. (I and J) Angle of rotation along central-boundary axis. (K) Angle of rotation along Y axis. (L) Increased deflection along Y axis. (M) Constant Y phase speed under different actuation frequencies suggesting non-dispersive shear wave propagation along the Y axis.
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    (A) Representative position tracking of a fluorescent bead in 1% agarose gel upon 10 Hz actuation. (B and C) 3D rendered phase and amplitude difference submerged in DMEM vs water at 37°C. (D) Fluid-structure interaction simulation model setup. (E) Simulation-predicted damping ratio as a function of the gel extrusion length. (F) Simulation-predicted damping ratio at varying viscosity and culture medium density with an extrusion length of 6.5 mm suggesting predominantly mass damping. (G and H) Simulation -predicted damping ratio at various agarose gel elastic moduli (G) and diameters (H) with an extrusion length of 6.5 mm. (I and J) Angle of rotation along central-boundary axis. (K) Angle of rotation along Y axis. (L) Increased deflection along Y axis. (M) Constant Y phase speed under different actuation frequencies suggesting non-dispersive shear wave propagation along the Y axis.
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    Image Search Results


    ( a ) Fluid–structure interaction (FSI) simulation illustrating the distribution of flow fields inside the microchannel and the deformation of the microcantilever; ( b ) Displacement of the cantilever beam corresponding to the four sensing elements (time series data) simulated using the finite element method (FEM) model; ( c ) Displacement amplitude response of the microcantilevers.

    Journal: Biomimetics

    Article Title: A Highly Sensitive Deep-Sea Hydrodynamic Pressure Sensor Inspired by Fish Lateral Line

    doi: 10.3390/biomimetics9030190

    Figure Lengend Snippet: ( a ) Fluid–structure interaction (FSI) simulation illustrating the distribution of flow fields inside the microchannel and the deformation of the microcantilever; ( b ) Displacement of the cantilever beam corresponding to the four sensing elements (time series data) simulated using the finite element method (FEM) model; ( c ) Displacement amplitude response of the microcantilevers.

    Article Snippet: To gain more insight into the piezopotential distribution on the interdigital electrodes, FEM simulations were conducted using the coupled fluid–structure interaction (FSI) module of COMSOL Multiphysics by placing a sensing unit in a water canal.

    Techniques:

    (A) Representative position tracking of a fluorescent bead in 1% agarose gel upon 10 Hz actuation. (B and C) 3D rendered phase and amplitude difference submerged in DMEM vs water at 37°C. (D) Fluid-structure interaction simulation model setup. (E) Simulation-predicted damping ratio as a function of the gel extrusion length. (F) Simulation-predicted damping ratio at varying viscosity and culture medium density with an extrusion length of 6.5 mm suggesting predominantly mass damping. (G and H) Simulation -predicted damping ratio at various agarose gel elastic moduli (G) and diameters (H) with an extrusion length of 6.5 mm. (I and J) Angle of rotation along central-boundary axis. (K) Angle of rotation along Y axis. (L) Increased deflection along Y axis. (M) Constant Y phase speed under different actuation frequencies suggesting non-dispersive shear wave propagation along the Y axis.

    Journal: bioRxiv

    Article Title: Tissue stiffness mapping by light sheet elastography

    doi: 10.1101/2023.12.09.570896

    Figure Lengend Snippet: (A) Representative position tracking of a fluorescent bead in 1% agarose gel upon 10 Hz actuation. (B and C) 3D rendered phase and amplitude difference submerged in DMEM vs water at 37°C. (D) Fluid-structure interaction simulation model setup. (E) Simulation-predicted damping ratio as a function of the gel extrusion length. (F) Simulation-predicted damping ratio at varying viscosity and culture medium density with an extrusion length of 6.5 mm suggesting predominantly mass damping. (G and H) Simulation -predicted damping ratio at various agarose gel elastic moduli (G) and diameters (H) with an extrusion length of 6.5 mm. (I and J) Angle of rotation along central-boundary axis. (K) Angle of rotation along Y axis. (L) Increased deflection along Y axis. (M) Constant Y phase speed under different actuation frequencies suggesting non-dispersive shear wave propagation along the Y axis.

    Article Snippet: To investigate the impact of system parameters (e.g., gel extrusion length) on the damping behavior and the source of DMEM-induced damping (i.e., mass vs. viscous damping), we conducted COMSOL fluid-structure interaction (FSI) simulations.

    Techniques: Agarose Gel Electrophoresis, Viscosity, Shear