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Journal Articles

Plume dispersion simulation based on ensemble simulation with lattice Boltzmann method

Hasegawa, Yuta; Onodera, Naoyuki; Idomura, Yasuhiro

Dai-34-Kai Suchi Ryutai Rikigaku Shimpojiumu Koen Rombunshu (Internet), 3 Pages, 2020/12

We developed a real-time ensemble simulation code for analyzing urban wind conditions and plume dispersion using a locally mesh-refined lattice Boltzmann method. We validated the developed code against the wind tunnel experiment by AIST, and against the field experiment JU2003 in Oklahoma City. In the case of the wind tunnel experiment, the wind condition showed a good agreement with the experiment, and 61.2% of the tracer gas concentration data observed on the ground satisfied the FACTOR2 condition, that is an accuracy criterion given by the environmental assessment guideline. In the case of the field experiment JU2003, the instantaneous wind speed showed a good agreement with the experiment, while the wind direction showed a difference up to 100$$^{circ}$$. The means of the tracer gas concentration satisfied the FACTOR2 condition at all observation interval. These results demonstrate that the developed code is accurate enough for the environmental assessment.

Journal Articles

Numerical simulation on generation of inflammable gases by chemical reaction of high temperature steam and wall composition material

Takase, Kazuyuki; Ose, Yasuo*; Fujii, Sadao*

Dai-17-Kai Suchi Ryutai Rikigaku Shimpojiumu Koen Yoshishu, p.B2_2_1 - B2_2_4, 2003/12

no abstracts in English

Journal Articles

Electrical conductivity of Li$$_{2}$$O under and after irradiation

Noda, Kenji; Ishii, Yoshinobu; *; Ono, Hideo; Watanabe, H.

Journal of Nuclear Materials, 179-181, p.835 - 838, 1991/00

 Times Cited Count:19 Percentile:86.34(Materials Science, Multidisciplinary)

no abstracts in English

Journal Articles

Irradiation effects on ion conductivity of lithium oxide

Noda, Kenji; Ishii, Yoshinobu; Ono, Hideo; Watanabe, H.; *

Adv.Ceram., 27, p.227 - 247, 1990/00

no abstracts in English

Oral presentation

Tracer dispersion simulation in Oklahoma City using locally mesh-refined Lattice Boltzmann Method

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.

Oral presentation

GPU accelerated real-time plume dispersion analysis based on Lattice Boltzmann Method

Onodera, Naoyuki

no journal, , 

The plume dispersion simulations is very important from the viewpoint of nuclear security, and it is also required to satisfy both calculation speed and accuracy. GPU accelerated CFD method enables both high-resolution and real-time wind simulations in urban areas. In this presentation, we applied a communication reduced multi-time-step algorithm to AMR based CityLBM, and we realized a real-time plume dispersion simulation on GPU supercomputers.

Oral presentation

An Implement of the ensemble simulation for urban wind condition using locally mesh-refined lattice Boltzmann method

Hasegawa, Yuta; Onodera, Naoyuki; Idomura, Yasuhiro

no journal, , 

Towards the prediction of the plume dispersion in the urban area, we are developing the urban wind simulation code CityLBM which is based on the lattice Boltzmann method with GPU computing. In this presentation, we implemented the ensemble simulation with MPI parallelization, and estimated the uncertainty of the plume dispersion simulation. The ensemble simulation with 100 members was performed, and the dependency of the simulation against the number of ensemble members was tested. We confirmed that the ensemble simulation can be statistically assessed with the number of ensemble members being 10.

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