Massively parallel anisotropic mesh adaptation

Digonnet, Hugues; Coupez, Thierry; Laure, Patrice; Silva, Luísa

doi:10.1177/1094342017693906

Cited by 15 publications

(8 citation statements)

References 34 publications

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“…For every interface, a propagation direction needs to be chosen. In [14] and [9], processors are paired in order to balance the computational load. Since optimal load balancing is not the main aim of the remeshing phase, we have preferred to sort the current groups by the number of elements, and move the interface in the direction of the bigger mesh group.…”

Section: Groups Sorting For Interface Advancement Directionmentioning

confidence: 99%

D2.4 First Release of the mesh generation/adaptation capabilities

Cirrottola¹,

Froehly²,

Warnakulasuriya³

et al. 2021

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Section: Groups Sorting For Interface Advancement Directionmentioning

confidence: 99%

D2.4 First Release of the mesh generation/adaptation capabilities

Cirrottola¹,

Froehly²,

Warnakulasuriya³

et al. 2021

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“…Moreover, this reconstruction process is executed on a multi-cores context in order to be able to combine the optimizations related to the use of mesh adaptation and octree with massively parallel computing. The parallelization of the process is performed by an iterative coupling between operations of independent adaptive mesh in different partitions and displacement of the interface between these partitions [ 15 , 16 ].…”

Section: Computational Domain Reconstructionmentioning

confidence: 99%

Octree Optimized Micrometric Fibrous Microstructure Generation for Domain Reconstruction and Flow Simulation

Aissa

Douteau

Abisset-Chavanne

et al. 2021

Entropy

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Over recent decades, tremendous advances in the field of scalable numerical tools and mesh immersion techniques have been achieved to improve numerical efficiency while preserving a good quality of the obtained results. In this context, an octree-optimized microstructure generation and domain reconstruction with adaptative meshing is presented and illustrated through a flow simulation example applied to permeability computation of micrometric fibrous materials. Thanks to the octree implementation, the numerous distance calculations in these processes are decreased, thus the computational complexity is reduced. Using the parallel environment of the ICI-tech library as a mesher and a solver, a large scale case study is performed. The study is applied to the computation of the full permeability tensor of a three-dimensional microstructure containing 10,000 fibers. The considered flow is a Stokes flow and it is solved with a stabilized finite element formulation and a monolithic approach.

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“…The code has also been massively parallelized in order to enable the use of a large number of cores. Particular attention has been placed on partitions during parallel meshing and NS resolution, details can be found in [12].…”

Section: Simulation Proceduresmentioning

confidence: 99%

Towards Numerical Simulation of Offshore Wind Turbines Using Anisotropic Mesh Adaptation

Douteau

Silva

Digonnet

et al. 2019

Recent Advances in CFD for Wind and Tidal Offshore Turbines

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Offshore wind turbines are currently increasing the potential of wind energy, and numerical simulation is a way to help this industry to reach maturity. In the context of floating wind energy, predicting the loads applied on structures and their response is essential. Those data will enable an optimization of floaters dimensioning, necessary for CAPEX reduction.As the simulation of floating wind turbines requires the representation of both complex geometries and phenomena, several alternative techniques have been developed. The wake generated by the rotor can be modeled using methodologies inherited from onshore wind turbines simulation, and coupled with a hydrodynamic code. However those simplified methods have been primarily developed for wake study, and thus have varying precision for loads estimation.This work proposes a methodology for the simulation of a single or several turbines with an exact representation of the geometries involved, targeting an accurate evaluation of loads. The software library used is ICI-tech, developed at the High Performance Computing Institute (ICI) of Centrale Nantes. A monolithic approach is applied on a single computational mesh, where all the different phases are defined through level-set functions. The Navier-Stokes (NS) equations are solved in the Variational MultiScale (VMS) formalism using stabilized finite elements. This approach, coupled with an automatic and anisotropic adaptation procedure, guarantees the good representation of the geometries immersed. The automatic adaptation refines the mesh only in interest zones, allowing the simulation of phenomena with very different orders of magnitude, e.g. aerodynamics around blades and waves propagation. The reduction of the number of points in the mesh and the massive parallelization of the code are also necessary for wind turbine simulation.

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Massively parallel anisotropic mesh adaptation

Cited by 15 publications

References 34 publications

D2.4 First Release of the mesh generation/adaptation capabilities

D2.4 First Release of the mesh generation/adaptation capabilities

Octree Optimized Micrometric Fibrous Microstructure Generation for Domain Reconstruction and Flow Simulation

Towards Numerical Simulation of Offshore Wind Turbines Using Anisotropic Mesh Adaptation

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