A variational multiscale framework for atmospheric turbulent flows over complex environmental terrains

Ravensbergen, M.; Helgedagsrud, Tore Andreas; Bazilevs, Yuri; Korobenko, Artem

doi:10.1016/j.cma.2020.113182

Cited by 41 publications

(11 citation statements)

References 113 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To validate the proposed methodology, we studied wind flow over the Gaussian hill geometry [1,6,23]. It is an infinitely smooth isolated hill surface defined by the equation:…”

Section: Validation: Gaussian Hill Geometrymentioning

confidence: 99%

“…We validate the proposed method on the widely studied Gaussian hill geometry [1,6,23], and we illustrate the proposed method in practice by resolving CFD-based localized wind forecasts for the Turku Archipelago, Finland, using open terrain data from National Land Survey (NLS) of Finland. The main application of those forecasts is in assisting autonomous ship operation in complex port and fairway environments by providing wind load forecasts for the ships (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated geometry and hexahedral mesh generation for kilometer-scale atmospheric flow simulations

Immonen

Bengs

Manngård

et al. 2023

RakMek

View full text Add to dashboard Cite

This article introduces a methodology for automatic generation of geometries and meshes for kilometer-scale Atmospheric Boundary Layer (ABL) flow simulations, with topography and elevation. The proposed programmatic (hence automatable) \emph{template morphing approach} facilitates interpolation of scattered point cloud terrain data on a template geometry domain, morphing a high-quality quadrilateral template mesh for the interpolated geometry, and setup as well as execution of Computational Fluid Dynamics (CFD) flow simulation. The proposed method specifically addresses the previously reported problems of sustaining an ABL structure across the simulation domain by imposing the velocity and turbulence properties on all vertical surfaces. We present a validation study for the proposed method on an artificial Gaussian hill terrain. A real-world localized wind forecast application from the Turku Archipelago, Finland, is also presented, using open terrain data from National Land Survey of Finland. Such localized wind forecasts aim to assist ships in autonomous navigation and maneuvering in complex port or fairway environments, which is the motivation for this study.

show abstract

“…To validate the proposed methodology, we studied wind flow over the Gaussian hill geometry [1,6,23]. It is an infinitely smooth isolated hill surface defined by the equation:…”

Section: Validation: Gaussian Hill Geometrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automated geometry and hexahedral mesh generation for kilometer-scale atmospheric flow simulations

Immonen

Bengs

Manngård

et al. 2023

RakMek

View full text Add to dashboard Cite

show abstract

“…Over the years since their inception, the ST-SUPS, ALE-SUPS, RBVMS, ALE-VMS, and ST-VMS have become a powerful set of computational methods and have been applied to some of the most challenging classes of flow problems. The classes of problems computed with the ALE-SUPS, RBVMS, and ALE-VMS include parachutes [12], wind turbines [26]-[47], medical applications [13], [48]- [61], free-surface flows [62]- [66], aircraft applications [67,68], turbomachinery [69]-[75], marine applications [76]- [78], bridges [79]- [83], stratified flows [84,85], hypersonic flows [86], two-phase flows [87]- [93], additive manufacturing [94], immersogeometric FSI and flow analysis [95]- [99], and mixed ALE-VMS/Immersogeometric computations [57]- [59], [100]- [108] in the framework of the FSITICT. A comprehensive summary of the classes of flow problems computed with ST-SUPS and ST-VMS prior to July 2018 was provided in [109].…”

Section: Thementioning

confidence: 99%

Mesh Moving Methods in Flow Computations with the Space–Time and Arbitrary Lagrangian–Eulerian Methods

Takizawa

Bazilevs

Tezduyar

2022

J. ADV. ENG. COMPUT.

View full text Add to dashboard Cite

A good mesh moving method is an important part of ﬂow computations with moving-mesh methods like the space–time (ST) and Arbitrary Lagrangian–Eulerian (ALE) methods. With a good mesh moving method, we can decrease the remeshing frequency even when the ﬂuid–solid and ﬂuid–ﬂuid interfaces undergo large displacements, decrease the element distortion in parts of the ﬂow domain where we care about the solution accuracy more, and maintain the quality of the boundary layer meshes near the ﬂuid–solid interfaces as the mesh moves to follow those interfaces. Since 1990, quite a few good mesh moving methods have been developed for use with the ST computational methods, from the mesh Jacobian-based stiﬀening to a mesh moving method based on fiber-reinforced hyperelasticity to a linear-elasticity mesh moving method with no cycle-to-cycle accumulated distortion. These methods have been used in computation of many complex ﬂow problems in the categories of ﬂuid–particle interaction, ﬂuid–structure interaction, and more generally, moving boundaries and interfaces. The computations were with both the ST and ALE methods. We provide an overview of these methods and present examples of the computations performed.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

show abstract

“…The computational framework was presented in [125], studies on spatial and temporal resolution in [126], and studies on spatial-refinement directional preference in [127]. In [68,128], the MDM was used in computation of flow over a complex terrain.…”

Section: Mdmmentioning

confidence: 99%

“…The classes of problems computed with the ALE-SUPS, RBVMS, and ALE-VMS include wind turbines , turbomachinery [60][61][62][63][64][65][66], stratified flows [67,68], bridges [69][70][71][72][73], marine applications [74][75][76], free-surface flows [77][78][79][80][81], two-phase flows [82][83][84][85][86][87][88], additive manufacturing [89], aircraft applications [90,91], hypersonic flows [92], parachutes [33], cardiovascular medicine [34,[93][94][95][96][97][98][99][100][101][102][103][104][105][106], mixed ALE-VMS immersogeometric analysis ...…”

Section: Introductionmentioning

confidence: 99%

High-resolution multi-domain space–time isogeometric analysis of car and tire aerodynamics with road contact and tire deformation and rotation

Kuraishi

Takizawa

et al. 2022

Comput Mech

View full text Add to dashboard Cite

We are presenting high-resolution space–time (ST) isogeometric analysis of car and tire aerodynamics with near-actual tire geometry, road contact, and tire deformation and rotation. The focus in the high-resolution computation is on the tire aerodynamics. The high resolution is not only in space but also in time. The influence of the aerodynamics of the car body comes, in the framework of the Multidomain Method (MDM), from the global computation with near-actual car body and tire geometries, carried out earlier with a reasonable mesh resolution. The high-resolution local computation, carried out for the left set of tires, takes place in a nested MDM sequence over three subdomains. The first subdomain contains the front tire. The second subdomain, with the inflow velocity from the first subdomain, is for the front-tire wake flow. The third subdomain, with the inflow velocity from the second subdomain, contains the rear tire. All other boundary conditions for the three subdomains are extracted from the global computation. The full computational framework is made of the ST Variational Multiscale (ST-VMS) method, ST Slip Interface (ST-SI) and ST Topology Change (ST-TC) methods, ST Isogeometric Analysis (ST-IGA), integrated combinations of these ST methods, element-based mesh relaxation (EBMR), methods for calculating the stabilization parameters and related element lengths targeting IGA discretization, Complex-Geometry IGA Mesh Generation (CGIMG) method, MDM, and the “ST-C” data compression. Except for the last three, these methods were used also in the global computation, and they are playing the same role in the local computation. The ST-TC, for example, as in the global computation, is making the ST moving-mesh computation possible even with contact between the tire and the road, thus enabling high-resolution flow representation near the tire. The CGIMG is making the IGA mesh generation for the complex geometries less arduous. The MDM is reducing the computational cost by focusing the high-resolution locally to where it is needed and also by breaking the local computation into its consecutive portions. The ST-C data compression is making the storage of the data from the global computation less burdensome. The car and tire aerodynamics computation we present shows the effectiveness of the high-resolution computational analysis framework we have built for this class of problems.

show abstract

A variational multiscale framework for atmospheric turbulent flows over complex environmental terrains

Cited by 41 publications

References 113 publications

Automated geometry and hexahedral mesh generation for kilometer-scale atmospheric flow simulations

Automated geometry and hexahedral mesh generation for kilometer-scale atmospheric flow simulations

Mesh Moving Methods in Flow Computations with the Space–Time and Arbitrary Lagrangian–Eulerian Methods

High-resolution multi-domain space–time isogeometric analysis of car and tire aerodynamics with road contact and tire deformation and rotation

Contact Info

Product

Resources

About