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Journal Articles

Simulation of Lagrangian pollutant in Jakarta urban district using Lattice Boltzmann method

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.

Journal Articles

Prediction of pore pressure change due to the shaft excavations using artificial intelligent techniques

Takeuchi, Shinji; Chinone, Tatsuya*; Mebruck, N.*; Watanabe, Kunio*

Sui Kogaku Rombunshu (CD-ROM), 54, p.409 - 414, 2010/02

Tunnel or shaft excavation in fractured rock mass brings out the pore pressure change around the site. The effect of the construction is spatially different due to the existence of high permeable fractures around the site. The precise prediction with real time of pore pressure change is very important to maintain the groundwater in good condition. In this paper, pore pressure measured by 50 sensors which was installed in 5 boreholes around two shafts that are now under construction for Mizunami underground research laboratory project of JAEA, was analysed by using Genetic Algorithm (GA) and Artificial Neural Network (ANN). It was found that the pore pressure change in this area could be divided into four patterns. The pore pressure fluctuation at an arbitrary point was precisely predicted on real time with pore pressure data obtained at other sections when the fluctuation patterns of those data are identical.

Journal Articles

None

; Jinno, Kenji*; Saeki, Kazutoshi*; *; *; Tagomori, Hisaya*

Sui Kogaku Rombunshu, 46, p.205 - 210, 2002/00

None

Journal Articles

Field experiment and observations of run off generation processes in a forested mountainous catchment, Tono Area, Japan

Gautam, M. R.*; Watanabe, Kunio; Saegusa, Hiromitsu

Sui Kogaku Rombunshu, 44, p.127 - 132, 2000/00

None

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