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Onodera, Naoyuki; Idomura, Yasuhiro; Kawamura, Takuma; Nakayama, Hiromasa; Shimokawabe, Takashi*
no journal, ,
A plume dispersion simulation is very important for designing smart cities. Since a lot of tall buildings and complex structures make the air flow turbulent in urban cities, large-scale CFD simulations are needed. We develop a GPU-based CFD code based on a Lattice Boltzmann Method (LBM) with a block-based Adaptive Mesh Refinement (AMR) method. The code is tuned to achieve high performance on the Pascal and Volta GPU architectures. We conducted a tracer dispersion simulation in Oklahoma City. The computational boundary conditions are given from real building data and WRF analysis results, respectively. By executing this computation, wind conditions in the urban area and details of plume distribution were reproduced with good accuracy.
Doda, Norihiro; Hamase, Erina; Kikuchi, Norihiro; Tanaka, Masaaki
no journal, ,
In the conventional analysis in the sodium-cooled fast reactor (SFR) plant design, the physical phenomena occurring in each part of the plant are evaluated individually and the interaction between the phenomena is considered under conservative boundary conditions. Therefore, it can be a conservative evaluation in viewpoint of the total balance in the plant design. In this investigation, the integrated platform wchich can couple the detailed analysis codes with the plant dynamics analysis code in order to consider the interaction between the phenomena has been developed as a support tool for achieving optimized design of the SFR plant. In this report, outlines of the development purpose of the integrated platform, the coupling method of analysis codes, and the future development is described.
Hasegawa, Yuta; Aoki, Takayuki*; Kobayashi, Hiromichi*; Shirasaki, Keita*
no journal, ,
We implement and perform a large-scale LES simulation for aerodynamics on a road racing of bicycles. The mesh-refined lattice Boltzmann method with coherent-structure Smagorinsky model is employed to perform a multi-GPU computing. The validation on alone running or group running of 4 cyclists had a good agreement with previous experiments or CFD simulations. As a large scale benchmark problem, the aerodynamics simulation on the group of 72 cyclists was performed using 192 GPUs for 4 days. This computational cost is enough reasonable to run the application studies.