Recent Advances in ALE-VMS and ST-VMS Computational Aerodynamic and FSI Analysis of Wind Turbines

Korobenko, Artem; Bazilevs, Yuri; Takizawa, Kenji; Tezduyar, Tayfun E.

doi:10.1007/978-3-319-96469-0_7

Cited by 54 publications

(63 citation statements)

References 198 publications

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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%

“…84 for a comprehensive summary). The classes of problems include spacecraft parachute analysis for the landing-stage parachutes, 85,28,[86][87][88] cover-separation parachutes 89 and the drogue parachutes, [90][91][92] wind-turbine aerodynamics for horizontal-axis windturbine rotors, 39,93,94,28 full horizontal-axis wind-turbines [95][96][97]45 and vertical-axis wind-turbines, 98,48,49 flapping-wing aerodynamics for an actual locust, 99,100,28,101 Math. bioinspired MAVs 102,103,96,97 and wing-clapping, 104,105 blood flow analysis of cerebral aneurysms, 106,96 stent-blocked aneurysms, 107,108,106 aortas [109][110][111][112][113] and heart valves, 104,97,[114][115][116][117]111,113 spacecraft aerodynamics, 89,118 thermo-fluid analysis of ground vehicles and their tires,…”

Section: Stabilized and Vms Space-time Computational Methodsmentioning

confidence: 99%

“…119 for the coupled incompressible-flow and thermal-transport equations retains the high-resolution representation of the thermo-fluid boundary layers near spinning solid surfaces. These ST-SI methods have been applied to aerodynamic analysis of vertical-axis wind turbines, 98,48,49 thermo-fluid analysis of disk brakes, 119 flow-driven string dynamics in turbomachinery, [120][121][122] flow analysis of turbocharger turbines, [123][124][125][126] flow around tires with road contact and deformation, 115,[127][128][129][130] fluid films, 131,130 aerodynamic analysis of ram-air parachutes, 132 and flow analysis of heart valves. 116,117,111,113 In the ST-SI version presented in Ref.…”

Section: St Slip Interface Methodsmentioning

confidence: 99%

“…137,24,115,[119][120][121][122] The STNMUM and the ST-IGA with IGA basis functions in time have been used in many 3D computations. The classes of problems solved are flapping-wing aerodynamics for an actual locust, 99,100,28,101 bioinspired MAVs 102,103,96,97 and wing-clapping, 104,105 separation aerodynamics of spacecraft, 89 aerodynamics of horizontal-axis [95][96][97]45 and vertical-axis 98,48,49 windturbines, thermo-fluid analysis of ground vehicles and their tires, 24,115 thermo-fluid analysis of disk brakes, 119 flow-driven string dynamics in turbomachinery, [120][121][122] and flow analysis of turbocharger turbines. [123][124][125][126] The ST-IGA with IGA basis functions in space enables more accurate representation of the geometry and increased accuracy in the flow solution.…”

Section: St Isogeometric Analysismentioning

confidence: 99%

See 3 more Smart Citations

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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Section: Stabilized and Vms Space-time Computational Methodsmentioning

confidence: 99%

Section: Stabilized and Vms Space-time Computational Methodsmentioning

confidence: 99%

Section: St Slip Interface Methodsmentioning

confidence: 99%

Section: St Isogeometric Analysismentioning

confidence: 99%

See 2 more Smart Citations

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

Takizawa

Ueda

Tezduyar

2019

Math. Models Methods Appl. Sci.

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“…31 They have been applied to many classes of FSI, MBI and fluid mechanics problems. The classes of problems include wind-turbine aerodynamics and FSI, [32][33][34][35][36][37][38][39][40][41][42] more specifically, vertical-axis wind turbines, [41][42][43][44] floating wind turbines, 45 wind turbines in atmospheric boundary layers, [40][41][42]46 and fatigue damage in wind-turbine blades, 47 patient-specific cardiovascular fluid mechanics and FSI, 19,[48][49][50][51][52][53] biomedical-device FSI, [54][55][56][57][58][59] ship hydrodynamics with free-surface flow and fluid-object interaction, 60,61 hydrodynamics and FSI of a hydraulic arresting gear, 62,63 hydrodynamics of tidal-stream turbines with free-surface flow, 64 bioinspired FSI for marine propulsion, 65,66 bridge aerodynamics and fluid-object interaction, [67][68][69] and mixed ALE-VMS/Immersogeometric computations…”

Section: St-vmsmentioning

confidence: 99%

Space–time Isogeometric flow analysis with built-in Reynolds-equation limit

Kuraishi

Takizawa

Tezduyar

2019

Math. Models Methods Appl. Sci.

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We present a space–time (ST) computational flow analysis method with built-in Reynolds-equation limit. The method enables solution of lubrication fluid dynamics problems with a computational cost comparable to that of the Reynolds-equation model for the comparable solution quality, but with the computational flexibility to go beyond the limitations of the Reynolds-equation model. The key components of the method are the ST Variational Multiscale (ST-VMS) method, ST Isogeometric Analysis (ST-IGA), and the ST Slip Interface (ST-SI) method. The VMS feature of the ST-VMS serves as a numerical stabilization method with a good track record, the moving-mesh feature of the ST framework enables high-resolution flow computation near the moving fluid–solid interfaces, and the higher-order accuracy of the ST framework strengthens both features. The ST-IGA enables more accurate representation of the solid-surface geometries and increased accuracy in the flow solution in general. With the ST-IGA, even with just one quadratic NURBS element across the gap of the lubrication fluid dynamics problem, we reach a solution quality comparable to that of the Reynolds-equation model. The ST-SI enables moving-mesh computation when the spinning solid surface is noncircular. The mesh covering the solid surface spins with it, retaining the high-resolution representation of the flow near the surface, and the SI between the spinning mesh and the rest of the mesh accurately connects the two sides of the solution. We present detailed 2D test computations to show how the method performs compared to the Reynolds-equation model, compared to finite element discretization, at different circumferential and normal mesh refinement levels, when there is an SI in the mesh, and when the no-slip boundary conditions are weakly-enforced.

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