Computational analysis of particle-laden-airflow erosion and experimental verification

Castorrini, Alessio; Venturini, Paolo; Corsini, Alessandro; Rispoli, Franco; Takizawa, Kenji; Tezduyar, Tayfun E.

doi:10.1007/s00466-020-01834-0

Cited by 12 publications

(11 citation statements)

References 68 publications

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“…Some of the stabilization parameters described in this subsection were also used in computations with other SUPG-like methods, such as the computations reported in [64,[174][175][176][177][178][179][180][181][182][183][184][185][186].…”

Section: Stabilization and DC Parameters And Element Lengthsmentioning

confidence: 99%

Gas turbine computational flow and structure analysis with isogeometric discretization and a complex-geometry mesh generation method

Bazilevs

Takizawa

et al. 2020

Comput Mech

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A recently introduced NURBS mesh generation method for complex-geometry Isogeometric Analysis (IGA) is applied to building a high-quality mesh for a gas turbine. The compressible flow in the turbine is computed using the IGA and a stabilized method with improved discontinuity-capturing, weakly-enforced no-slip boundary-condition, and sliding-interface operators. The IGA results are compared with the results from the stabilized finite element simulation to reveal superior performance of the NURBS-based approach. Free-vibration analysis of the turbine rotor using the structural mechanics NURBS mesh is also carried out and shows that the NURBS mesh generation method can be used also in structural mechanics analysis. With the flow field from the NURBS-based turbine flow simulation, the Courant number is computed based on the NURBS mesh local length scale in the flow direction to show some of the other positive features of the mesh generation framework. The work presented further advances the IGA as a fully-integrated and robust design-to-analysis framework, and the IGA-based complex-geometry flow computation with moving boundaries and interfaces represents the first of its kind for compressible flows.

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Section: Stabilization and DC Parameters And Element Lengthsmentioning

confidence: 99%

Gas turbine computational flow and structure analysis with isogeometric discretization and a complex-geometry mesh generation method

Bazilevs

Takizawa

et al. 2020

Comput Mech

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“…The expression was used in [89] in calculating the Courant number associated with the gas turbine computation. Some of the earlier stabilization parameters used with the SUPS and VMS were also used in computations with other SUPG-like methods, such as the computations reported in [76,[171][172][173][174][175][176][177][178][179][180][181][182][183].…”

Section: Stabilization Parameters and Their Mesh Sensitivitymentioning

confidence: 99%

A linear-elasticity-based mesh moving method with no cycle-to-cycle accumulated distortion

et al. 2021

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Good mesh moving methods are always part of what makes moving-mesh methods good in computation of flow problems with moving boundaries and interfaces, including fluid–structure interaction. Moving-mesh methods, such as the space–time (ST) and arbitrary Lagrangian–Eulerian (ALE) methods, enable mesh-resolution control near solid surfaces and thus high-resolution representation of the boundary layers. Mesh moving based on linear elasticity and mesh-Jacobian-based stiffening (MJBS) has been in use with the ST and ALE methods since 1992. In the MJBS, the objective is to stiffen the smaller elements, which are typically placed near solid surfaces, more than the larger ones, and this is accomplished by altering the way we account for the Jacobian of the transformation from the element domain to the physical domain. In computing the mesh motion between time levels $$t_n$$ t n and $$t_{n+1}$$ t n + 1 with the linear-elasticity equations, the most common option is to compute the displacement from the configuration at $$t_n$$ t n . While this option works well for most problems, because the method is path-dependent, it involves cycle-to-cycle accumulated mesh distortion. The back-cycle-based mesh moving (BCBMM) method, introduced recently with two versions, can remedy that. In the BCBMM, there is no cycle-to-cycle accumulated distortion. In this article, for the first time, we present mesh moving test computations with the BCBMM. We also introduce a version we call “half-cycle-based mesh moving” (HCBMM) method, and that is for computations where the boundary or interface motion in the second half of the cycle consists of just reversing the steps in the first half and we want the mesh to behave the same way. We present detailed 2D and 3D test computations with finite element meshes, using as the test case the mesh motion associated with wing pitching. The computations show that all versions of the BCBMM perform well, with no cycle-to-cycle accumulated distortion, and with the HCBMM, as the wing in the second half of the cycle just reverses its motion steps in the first half, the mesh behaves the same way.

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“…Some of the newer options for the stabilization parameters used with the SUPS and VMS can be found in [18,19,21,25,106,135,[141][142][143][144][145]. Some of the earlier stabilization parameters used with the SUPS and VMS were also used in computations with other SUPG-like methods, such as the computations reported in [2,3,5,[7][8][9][146][147][148][149][150][151][152][153]. We will specify which ones we use here in Appendix A.1 and when we describe the computations in Sect.…”

Section: St-vms and St-supsmentioning

confidence: 99%

Space–Time Variational Multiscale Isogeometric Analysis of a tsunami-shelter vertical-axis wind turbine

et al. 2020

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We present computational flow analysis of a vertical-axis wind turbine (VAWT) that has been proposed to also serve as a tsunami shelter. In addition to the three-blade rotor, the turbine has four support columns at the periphery. The columns support the turbine rotor and the shelter. Computational challenges encountered in flow analysis of wind turbines in general include accurate representation of the turbine geometry, multiscale unsteady flow, and moving-boundary flow associated with the rotor motion. The tsunami-shelter VAWT, because of its rather high geometric complexity, poses the additional challenge of reaching high accuracy in turbine-geometry representation and flow solution when the geometry is so complex. We address the challenges with a space-time (ST) computational method that integrates three special ST methods around the core, ST Variational Multiscale (ST-VMS) method, and mesh generation and improvement methods. The three special methods are the ST Slip Interface (ST-SI) method, ST Isogeometric Analysis (ST-IGA), and the ST/NURBS Mesh Update Method (STNMUM). The ST-discretization feature of the integrated method 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. The moving-mesh feature of the ST framework enables high-resolution computation near the blades. The ST-SI enables moving-mesh computation of the spinning rotor. The mesh covering the rotor spins with it, and the SI between the spinning mesh and the rest of the mesh accurately connects the two sides of the solution. The ST-IGA enables more accurate representation of the blade and other turbine geometries and increased accuracy in the flow solution. The STNMUM enables exact representation of the mesh rotation. A general-purpose NURBS mesh generation method makes it easier to deal with the complex turbine geometry. The quality of the mesh generated with this method is improved with a mesh relaxation method based on fiber-reinforced hyperelasticity and optimized zero-stress state. We present computations for the 2D and 3D cases. The computations show the effectiveness of our ST and mesh generation and relaxation methods in flow analysis of the tsunami-shelter VAWT.

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Computational analysis of particle-laden-airflow erosion and experimental verification

Cited by 12 publications

References 68 publications

Gas turbine computational flow and structure analysis with isogeometric discretization and a complex-geometry mesh generation method

Gas turbine computational flow and structure analysis with isogeometric discretization and a complex-geometry mesh generation method

A linear-elasticity-based mesh moving method with no cycle-to-cycle accumulated distortion

Space–Time Variational Multiscale Isogeometric Analysis of a tsunami-shelter vertical-axis wind turbine

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