Amrvac: a Multidimensional Grid-adaptive Magnetofluid Dynamics Code

2002 ◽  
Vol 2 (1) ◽  
pp. 92-109 ◽  
Author(s):  
Margreet Nool ◽  
Rony Keppens
Keyword(s):  
Software Package ◽  
Adaptive Mesh Refinement ◽  
Adaptive Mesh ◽  
Test Problems ◽  
Adaptation Algorithm ◽  
Hydrodynamic Simulations ◽  
Grid Adaptation ◽  
Flow Features ◽  
Adaptive Time ◽  
2D And 3D

Abstract We present the results obtained with AMRVAC, a software package designed for solution-adaptive time-accurate (magneto)hydrodynamic simulations. In any dimensionality, the grid adjusts to capture shocks and other sharp flow features accurately following an automated Adaptive Mesh Refinement [AMR] strategy. This grid adaptation algorithm is incorporated with the Versatile Advection Code [VAC], so that it can be used to time-advance sets of conservation laws with options for the spatial discretization employed. We demonstrate and evaluate the efficiency achievable by AMR for 1D, 2D, and 3D test problems and describe the employed data structures.

scholarly journals Load balanced 2D and 3D adaptive mesh refinement in OpenFOAM

SoftwareX ◽  
2019 ◽  
Vol 10 ◽  
pp. 100317 ◽  
Author(s):  
Daniel Rettenmaier ◽  
Daniel Deising ◽  
Yun Ouedraogo ◽  
Erion Gjonaj ◽  
Herbert De Gersem ◽  
...  
Keyword(s):  
Adaptive Mesh Refinement ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
2D And 3D ◽  
Load Balanced

Adaptive Cloud Refinement (ACR) - Adaptation in Meshless Framework

2012 ◽  
Vol 11 (4) ◽  
pp. 1372-1385 ◽  
Author(s):  
M. Somasekhar ◽  
S. Vivek ◽  
Keshav. S. Malagi ◽  
V. Ramesh ◽  
S. M. Deshpande
Keyword(s):  
Adaptive Mesh Refinement ◽  
Adaptive Mesh ◽  
Mesh Adaptation ◽  
Grid Adaptation ◽  
Connectivity Information ◽  
Node Distribution ◽  
Point Density ◽  
Cloud Of Points ◽  
Crucial Part ◽  
Grid Based

AbstractIn the present work adaptation in meshless framework is proposed. The grid adaptation or mesh adaptation is quite well developed area in case of conventional grid based solvers and is popularly known as Adaptive mesh refinement (AMR). In such cases the adaptation is done by subdividing the cells or elements into finer cells or elements. In case of meshless methods there are no cells or elements but only a cloud of points. In this work we propose to achieve the meshless adaptation by locally refining the point density in the regions demanding higher resolution. This results into an adaptive enriched cloud of points. We call this method as Adaptive Cloud Refinement (ACR). The meshless solvers need connectivity information, which is a set of neighboring nodes. It is crucial part of meshless solvers. Obviously because of refining point density, the connectivity of nodes in such regions gets modified and hence has to be updated. An efficient connectivity update must exploit the fact that the node distribution would be largely unaffected except the region of adaptation. Hence connectivity updating needs to be done locally, only in these regions. In this paper we also present an extremely fast algorithm to update connectivity over adapted cloud called as ACU (Automatic Connectivity Update).

Progress in modeling streamer and leader discharges­­­

2021 ◽  
Author(s):  
Ute Ebert ◽  
Dennis Bouwman ◽  
Hani Francisco ◽  
Baohong Guo ◽  
Xiaoran Li ◽  
...  
Keyword(s):  
Electric Fields ◽  
Adaptive Mesh Refinement ◽  
Ohmic Heating ◽  
Plasma Chemistry ◽  
Adaptive Mesh ◽  
Streamer Propagation ◽  
Positive Streamers ◽  
Gas Expansion ◽  
Discharge Modeling ◽  
2D And 3D

<p>We present recent progress in pulsed discharge modeling in Amsterdam that is motivated by high voltage and plasma engineering and by lightning.</p><p>We perform streamer simulations with adaptive mesh refinement in 2D and 3D using PIC particle models and fluid models, where we now can include complex electrode shapes and dielectric boundaries. For the longer time evolution, we also have added Ohmic heating, gas expansion, and the relevant ­­­plasma chemistry for air and methane-air mixtures.</p><p>Results relevant for lightning physics include</p><ul><li>Validation and verification of streamer propagation models (with S. Dijcks and S. Nijdam for the experimental counterpart)</li> <li>Simulations of streamer branching and comparison with experiments</li> <li>Parameter studies for long non-branching streamers that can accelerate or decelerate, and vary largely in velocity, radius and inner electron density, depending on the electric field</li> <li>Different stagnation behavior of positive and negative streamers in low electric fields</li> <li>Positive streamers in air that can continue to propagate as isolated patches of positive charge, without a conducting channel behind the streamer head</li> <li>Repetitive discharges, heating, and plasma-chemistry</li> </ul>

Direct collapse to SMBH seeds in cosmological halos with radiation transfer

2019 ◽  
Vol 15 (S341) ◽  
pp. 289-291
Author(s):  
Kentaro Nagamine ◽  
Isaac Shlosman ◽  
Yang Luo
Keyword(s):  
Adaptive Mesh Refinement ◽  
Adiabatic Approximation ◽  
Adaptive Mesh ◽  
Radiation Force ◽  
Dark Matter Halos ◽  
Density Peak ◽  
Hydrodynamic Simulations ◽  
The Core ◽  
First Time ◽  
Limited Diffusion

AbstractWe present results of our zoom-in cosmological hydrodynamic simulations of direct collapse (DC) to supermassive black hole (SMBH) seeds with radiative transfer (RT). The DC has been modeled in dark matter halos of ∼108M⊙, using adaptive mesh refinement (AMR) code Enzo. For the first time, the baryonic collapse has been followed down to 10−7 pc (∼0.01 AU) with on-the-fly RT and the flux-limited diffusion (FLD) approximation. We find a complex behavior involving accretion flow and associated outflows driven by the radiation force. The resulting gas dynamics around the central density peak differs profoundly from that in previous works which adopted adiabatic approximation in the core. The core forms with a photosphere at ∼1 AU, and its growth starts to saturate at ∼100M⊙. The unrelaxed core radiates intermittently near the Eddington luminosity, correlated with strong anisotropic outflows.

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