Lattice Boltzmann Method for Real-Time Simulation of Lava Flows

2006 ◽  
Author(s):  
D. van Raay ◽  
T. Bossomaier
Keyword(s):  
Lattice Boltzmann Method ◽  
Real Time ◽  
Lattice Boltzmann ◽  
Lava Flows ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Boltzmann Method

scholarly journals Real-time flow simulation of indoor environments using lattice Boltzmann method

2015 ◽  
Vol 8 (4) ◽  
pp. 405-414 ◽  
Author(s):  
M. Amirul Islam Khan ◽  
Nicolas Delbosc ◽  
Catherine J. Noakes ◽  
Jonathan Summers
Keyword(s):  
Lattice Boltzmann Method ◽  
Real Time ◽  
Lattice Boltzmann ◽  
Flow Simulation ◽  
Indoor Environments ◽  
Time Flow ◽  
Boltzmann Method

Study of InSAS Interferogram Filtering Based on Lattice Boltzmann Method

2013 ◽  
Vol 423-426 ◽  
pp. 2581-2586
Author(s):  
Chao Shuai Song ◽  
Jun Yue ◽  
Hong Xiu Gao
Keyword(s):  
Lattice Boltzmann Method ◽  
Real Time ◽  
Lattice Boltzmann ◽  
Edge Information ◽  
Real Time Processing ◽  
Time Processing ◽  
Synthetic Aperture Sonar ◽  
Computation Efficiency ◽  
Boltzmann Method ◽  
Real Experimental Data

On the issue of interferogram filter in Interferomatric Synthetic Aperture Sonar(InSAS), P - M model based on partial differential equation (PDE) can not only remove noise effectively, but also better keep the interferogram details and edge information. But its computation efficiency is relatively low and it can not be parallelized to real-time processing. Aiming to overcome these shortcomings, a de-noising method based on lattice Boltzmann method(LBM) is introduced. Processing results of the simulation and real experimental data show that the interferogram filtering method based on LBM can de-noise more effectively, and its calculation efficiency is better. In view of it, LBM can be used for real-time processing.

scholarly journals Real-Time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method

2021 ◽  
Author(s):  
Naoyuki Onodera ◽  
Yasuhiro Idomura ◽  
Yuta Hasegawa ◽  
Hiromasa Nakayama ◽  
Takashi Shimokawabe ◽  
...  
Keyword(s):  
Boundary Conditions ◽  
Lattice Boltzmann Method ◽  
Real Time ◽  
Lattice Boltzmann ◽  
Mesoscale Model ◽  
Dispersion Model ◽  
Oklahoma City ◽  
Plume Dispersion ◽  
Building Structures ◽  
Boltzmann Method

AbstractWe present ensemble-based large-eddy simulations based on a lattice Boltzmann method for a realistic urban area. A plume-dispersion model enables a real-time simulation over several kilometres by applying a local mesh-refinement method. We assess plume-dispersion problems in the complex urban environment of Oklahoma City on 16 July using realistic mesoscale velocity boundary conditions produced by the Weather Research and Forecasting model, as well as building structures and a plant-canopy model introduced into the plume-dispersion model. Ensemble calculations are performed to reduce uncertainties in the macroscale boundary conditions due to turbulence, which cannot be determined by the mesoscale model. The statistics of the plume-dispersion field, as well as mean and maximum concentrations, show that ensemble calculations improve the accuracy of the simulations. Factor-of-2 agreement is found between the ensemble-averaged concentrations based on the simulations over a 4.2 × 4.2 × 2.5 km2 area with 2-m resolution with the plume-dispersion model and the observations.

Real Time Simulation of a VCM Plant

1997 ◽  
Vol 21 (1-2) ◽  
pp. S1111-S1115
Author(s):  
P Lundstrøm
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
Time Simulation
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