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An Asymptotically Adaptive Successive Equilibrium Relaxation approach for the accelerated convergence of the Lattice Boltzmann Method
Faculty
Engineering
Year:
2019
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Abdelhamied Ahmed Boraee
Staff Zu Site
Abstract In Staff Site
Journal:
Applied Mathematics and Computation Elsevier B.V.
Volume:
Keywords :
, Asymptotically Adaptive Successive Equilibrium Relaxation approach
Abstract:
A new approach is proposed to accelerate the convergence of the Lattice Boltzmann method for steady-state problems. The proposed approach uses an adaptive relaxation frequency to accelerate the convergence by assigning more weight to selected parts of the standard algorithm corresponding to different phases of the convergence to the steady-state solution. The proposed algorithm is simple, straightforward and does not impose any additional computational cost to the standard algorithm. Different simulation cases are presented with the corresponding speedup. Finally, guidelines for the selection of the optimal adaptation parameters are presented.
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Mohammed Abdelhamied Ahmed Boraee, "Assessment of the Accuracy of the Multiple-Relaxation-Time Lattice Boltzmann Method for the Simulation of Circulating Flows", science publishing group, 2017
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Mohammed Abdelhamied Ahmed Boraee, "Risk Assessment and Control for Main Hazards in Reverse Osmosis Desalination Plants", science publishing group, 2018
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Mohammed Abdelhamied Ahmed Boraee, "Thermal optimization of square pin-fins in crossflow using the Lattice Boltzmann Method with quadratic thermal equilibrium", Elsevier B.V., 2019
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Mohammed Abdelhamied Ahmed Boraee, "Effect of the wall thermal boundary condition on the structure of a confined swirling diffusion flame", Springer Nature, 2019
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Department Related Publications
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