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Yokouchi, Hiroshi*; Inagaki, Atsushi*; Kanda, Manabu*; Onodera, Naoyuki
Doboku Gakkai Rombunshu, B1 (Suikogaku) (Internet), 76(2), p.I_253 - I_258, 2020/00
Hight-resolution pollutant model embedded into Lattice Boltzmann method (LBM) is constructed. We focuses on Particle pollutants. Flow field is calculated using D3Q27 model of LBM and particle is calculated by Lagrangian method. Using this model, we discuss the change in concentration distribution when there is a huge building (GARUDA) in Jakarta as a application. As a result, we can find the relation of differences in particle density and differences in flow velocity due to GARUDA. When the velocity in the case w/o GARUDA is faster than the other, particle velocity in the case w/o GARUDA is reduced. And also, we can find the velocity near the solid boundary is underestimated and the particle density is higher than theoretical value. However, this model is valid far away from the solid boundary.
Onodera, Naoyuki; Hasegawa, Yuta; Idomura, Yasuhiro; Asahi, Yuichi; Kawamura, Takuma; Ina, Takuya; Shimomura, Kazuya; Inagaki, Atsushi*; Suzuki, Shinichi*; Hirano, Kohin*; et al.
no journal, ,
Wind prediction based on digital twin is a promising technology that can contribute to the construction of new social infrastructures, including applications to smart city design and operation. In this poster presentation, we will introduce wind simulations based on data assimilation with observations and mesoscale meteorological data for the realization of a digital twin of wind conditions in urban areas.
Onodera, Naoyuki
no journal, ,
The Center for Computational Science and Engineering Center of Japan Atomic Energy Agency (CCSE) is developing real-time wind simulation and data assimilation methods as a wind digital twin for nuclear disaster prevention. In this presentation, we will show urban wind simulations and data assimilation of wind tunnel experiments on a GPU supercomputer SGI8600.
