Numerical simulations of buoyancy-driven flows using adaptive mesh refinement: structure and dynamics of a large-scale helium plume

2020 ◽  
Author(s):  
Nicholas T. Wimer ◽  
Marcus S. Day ◽  
Caelan Lapointe ◽  
Michael A. Meehan ◽  
Amanda S. Makowiecki ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Adaptive Mesh Refinement ◽  
Large Scale ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Structure And Dynamics ◽  
Buoyancy Driven Flows ◽  
Helium Plume

Development of an Object-Oriented Program With Adaptive Mesh Refinement for Heat Transfer Simulations

2007 ◽  
Author(s):  
Jianhu Nie ◽  
David A. Hopkins ◽  
Yitung Chen ◽  
Hsuan-Tsung Hsieh
Keyword(s):  
Heat Transfer ◽  
Adaptive Mesh Refinement ◽  
Large Scale ◽  
Mesh Refinement ◽  
Object Oriented ◽  
Adaptive Mesh ◽  
Time Cost ◽  
Test Bed ◽  
Element Analysis ◽  
Cpu Time

A 2D/3D object-oriented program with h-type adaptive mesh refinement method is developed for finite element analysis of the multi-physics applications including heat transfer. A framework with some basic classes that enable the code to be built accordingly to the type of problem to be solved is proposed. The program consists of different modules and classes, which ease code development for large-scale complex systems, code extension and program maintenance. The developed program can be used as a “test-bed” program for testing new analysis techniques and algorithms with high extensibility and flexibility. The overall mesh refinement causes the CPU time cost to greatly increase as the mesh is refined. However, the CPU time cost does not increase very much with the increase of the level of h-adaptive mesh refinement. The CPU time cost can be saved by up to 90%, especially for the simulated system with a large number of elements and nodes.

scholarly journals Structure and dynamics of massive galaxies at z=0 in a fully cosmological simulation

2012 ◽  
Vol 8 (S295) ◽  
pp. 366-366
Author(s):  
E. Ricciardelli ◽  
J. Navarro-González ◽  
V. Quilis ◽  
A. Vazdekis
Keyword(s):  
Adaptive Mesh Refinement ◽  
Stellar Population ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Population Models ◽  
Massive Galaxies ◽  
Structure And Dynamics

In this contribution we present the results of an Eulerian adaptive mesh refinement (AMR) hydrodynamical and N-body simulation in a ΛCDM cosmology. The simulation used was performed with the cosmological code MASCLET (Quilis et al. 2004). Galaxies have been identified in the simulation outputs by means of an adaptive friends of friends algorithm applied to the star particles. To give light to our virtual galaxies we have assigned a spectrum to each stellar particle using the MIUSCAT stellar population models (Vazdekis et al. 2012; Ricciardelli et al. 2012).

scholarly journals Video: Numerical Simulations of Plume and Pool Fire Instabilities using Adaptive Mesh Refinement

2018 ◽  
Author(s):  
Nicholas Wimer ◽  
Caelan Lapointe ◽  
Marcus Day ◽  
Amanda Makowiecki ◽  
Jeffrey Glusman ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Adaptive Mesh Refinement ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Pool Fire

An adaptive mesh refinement solver for large-scale simulation of biological flows

2010 ◽  
Vol 26 (1) ◽  
pp. 86-100 ◽  
Author(s):  
Lorenzo Botti ◽  
Marina Piccinelli ◽  
Bogdan Ene-Iordache ◽  
Andrea Remuzzi ◽  
Luca Antiga
Keyword(s):  
Adaptive Mesh Refinement ◽  
Large Scale ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Large Scale Simulation ◽  
Biological Flows

Structured Adaptive Mesh Refinement (SAMR) Simulation of a Buoyant Helium Plume

2005 ◽  
Author(s):  
Mohit Tandon ◽  
Rajesh Rawat ◽  
Philip J. Smith ◽  
Andrew M. Wissink ◽  
Brian T. N. Gunney
Keyword(s):  
Experimental Data ◽  
Adaptive Mesh Refinement ◽  
Source Region ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Source Regions ◽  
Structured Adaptive Mesh Refinement ◽  
Large Eddy ◽  
Helium Plume ◽  
Good Agreement

Large-Eddy Simulations (LES) are done for 7.3 cm diameter helium plume using Local Mesh Refinement in the near source region i.e., X/Dp < 2. Constant coefficient Smagorinsky Model was used. The validation of code was conducted by comparing with the experimental data collected at NIST. The simulations are validated for two different inlet velocities. Simulation results of time-averaged velocity and helium concentration fields show good agreement with experimental data in the near source regions. Discrepancies were observed between the simulations and the experimental data in regions downstream the refined region. The cause of these discrepancies is attributed to unresolved vorticity generated by buoyancy.

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