FSI modeling of a propulsion system based on compliant hydrofoils in a tandem configuration

Yan, Jinhui; Augier, Benoît; Korobenko, Artem; Czarnowski, J.; Ketterman, G.; Bazilevs, Yuri

doi:10.1016/j.compfluid.2015.07.013

Cited by 78 publications

(19 citation statements)

References 90 publications

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“…Because the meshes on each side of the interface are nonmatching due to relative motion of the subdomains, the kinematic, level-set, and traction compatibility conditions are enforced in the weak sense. The sliding-interface technique was originally developed in [23] in the context of Isogeometric Analysis (IGA) [39,45], and successfully applied to simulate offshore wind turbines in [24,43,51,52], hydraulic arresting gears in [90], and kayak propulsion in [91]. The sliding-interface formulation was recently extended to the space-time (ST) VMS method [70,72,[75][76][77][78]80], and the extension is called the "ST Slip Interface (ST-SI)" method [79,82,84,85].…”

Section: Discretization Methodsmentioning

confidence: 99%

Free-surface flow modeling and simulation of horizontal-axis tidal-stream turbines

Yan¹,

Deng²,

Korobenko³

et al. 2017

Computers & Fluids

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123

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A computational free-surface flow framework that enables 3D, time-dependent simulation of horizontal-axis tidal-stream turbines (HATTs) is presented and deployed using a complexgeometry HATT. Free-surface flow simulations using the proposed framework, without any empiricism, are able to accurately capture the effect of the free surface on the hydrodynamic performance of the turbine, as demonstrated through excellent agreement with the experimental data. To carry out the free-surface computations, we have developed a novel level-set redistancing procedure compatible with the sliding-interface technique used for handling the rotor-stator interaction in the HATT full-machine simulations. To illustrate the versatility of the proposed approach, additional computations are carried out where the HATT is subjected to wave action.

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Section: Discretization Methodsmentioning

confidence: 99%

Free-surface flow modeling and simulation of horizontal-axis tidal-stream turbines

Yan¹,

Deng²,

Korobenko³

et al. 2017

Computers & Fluids

Self Cite

123

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“…The ALE-SUPS, RBVMS and ALE-VMS have been applied to many classes of FSI, MBI and fluid mechanics problems. The classes of problems include ram-air parachute FSI [30], wind-turbine aerodynamics and FSI [37][38][39][40][41][42][43][44][45][46][47], more specifically, vertical-axis wind turbines [46][47][48][49], floating wind turbines [50], wind turbines in atmospheric boundary layers [45][46][47]51], and fatigue damage in wind-turbine blades [52], patient-specific cardiovascular fluid mechanics and FSI [23,[53][54][55][56][57][58], biomedicaldevice FSI [59][60][61][62][63][64], ship hydrodynamics with free-surface flow and fluid-object interaction [65,66], hydrodynamics and FSI of a hydraulic arresting gear [67,68], hydrodynamics of tidal-stream turbines with free-surface flow [69], passive-morphing FSI in turbomachinery [70], bioinspired FSI for marine propulsion [71,72], bridge aerodynamics and fluid-object interaction …”

Section: St-vms and St-supsmentioning

confidence: 99%

Ventricle-valve-aorta flow analysis with the Space–Time Isogeometric Discretization and Topology Change

et al. 2020

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We address the computational challenges of and presents results from ventricle-valve-aorta flow analysis. Including the left ventricle (LV) in the model makes the flow into the valve, and consequently the flow into the aorta, anatomically more realistic. The challenges include accurate representation of the boundary layers near moving solid surfaces even when the valve leaflets come into contact, computation with high geometric complexity, anatomically realistic representation of the LV motion, and flow stability at the inflow boundary, which has a traction condition. The challenges are mainly addressed with a Space-Time (ST) method that integrates three special ST methods around the core, ST Variational Multiscale (ST-VMS) method. The three special methods are the ST Slip Interface (ST-SI) and ST Topology Change (ST-TC) methods and ST Isogeometric Analysis (ST-IGA). The ST-discretization feature of the integrated method, ST-SI-TC-IGA, provides higher-order accuracy compared to standard discretization methods. The VMS feature addresses the computational challenges associated with the multiscale nature of the unsteady flow in the LV, valve and aorta. The moving-mesh feature of the ST framework enables high-resolution computation near the leaflets. The ST-TC enables moving-mesh computation even with the TC created by the contact between the leaflets, dealing with the contact while maintaining high-resolution representation near the leaflets. The ST-IGA provides smoother representation of the LV, valve and aorta surfaces and increased accuracy in the flow solution. The ST-SI connects the separately generated LV, valve and aorta NURBS meshes, enabling easier mesh generation, connects the mesh zones containing the leaflets, enabling a more effective mesh moving, helps the ST-TC deal with leaflet-leaflet contact location change and contact sliding, and helps the ST-TC and ST-IGA keep the element density in the narrow spaces near the contact areas at a reasonable level. The ST-SI-TC-IGA is supplemented with two other special methods in this article. A structural mechanics computation method generates the LV motion from the CT scans of the LV and anatomically realistic values for the LV volume ratio. The Constrained-Flow-Profile (CFP) Traction provides flow stability at the inflow boundary. Test computation with the CFP Traction shows its effectiveness as an inflow stabilization method, and computation with the LV-valve-aorta model shows the effectiveness of the ST-SI-TC-IGA and the two supplemental methods.

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“…38 The ALE-SUPS, RBVMS and ALE-VMS have been applied to many classes of FSI, MBI and fluid mechanics problems. The classes of problems include ram-air parachute FSI, 32 wind-turbine aerodynamics and FSI, [39][40][41][42][43][44][45][46][47][48][49] more specifically, vertical-axis wind turbines, 50,51,48,49 floating wind turbines, 52 wind turbines in atmospheric boundary layers, 53,[47][48][49] and fatigue damage in wind-turbine blades, 54 patient-specific cardiovascular fluid mechanics and FSI, 55,25,[56][57][58][59][60] biomedical-device FSI, [61][62][63][64][65][66] ship hydrodynamics with free-surface flow and fluid-object interaction, 67,68 hydrodynamics and FSI of a hydraulic arresting gear, 69,70 hydrodynamics of tidal-stream turbines with freesurface flow, 71 passive-morphing FSI in turbomachinery, 72 bioinspired FSI for marine propulsion, 73,74 bridge aerodynamics and fluid-object interaction, [75]…”

Section: Stabilized and Vms Space-time Computational Methodsmentioning

confidence: 99%

A node-numbering-invariant directional length scale for simplex elements

Takizawa

Ueda

Tezduyar

2019

Math. Models Methods Appl. Sci.

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Variational multiscale methods, and their precursors, stabilized methods, have been very popular in flow computations in the past several decades. Stabilization parameters embedded in most of these methods play a significant role. The parameters almost always involve element length scales, most of the time in specific directions, such as the direction of the flow or solution gradient. We require the length scales, including the directional length scales, to have node-numbering invariance for all element types, including simplex elements. We propose a length scale expression meeting that requirement. We analytically evaluate the expression in the context of simplex elements and compared to one of the most widely used length scale expressions and show the levels of noninvariance avoided.

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FSI modeling of a propulsion system based on compliant hydrofoils in a tandem configuration

Cited by 78 publications

References 90 publications

Free-surface flow modeling and simulation of horizontal-axis tidal-stream turbines

Free-surface flow modeling and simulation of horizontal-axis tidal-stream turbines

Ventricle-valve-aorta flow analysis with the Space–Time Isogeometric Discretization and Topology Change

A node-numbering-invariant directional length scale for simplex elements

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