Keigo Matsuda

Local flow influence on inertial particle divergence in isotropic turbulence

Keigo Matsuda, Thibault Maurel–Oujia, Kai Schneider

International audience

Multiscale dynamics of inertial particles in turbulence with and without the effect of gravitational settling

Thibault Maurel–Oujia, Keigo Matsuda, Kai Schneider

We investigate the dynamics of inertial heavy particles in three-dimensional homogeneous isotropic turbulence, both with and without gravitational settling, by means of direct numerical simulation over a range of Stokes numbers ( 0.05 less than or slanted equals italic St less than …

jp, fr (code pays fourni par la source)

Throughput analysis for IEEE 802.11be network taking into account the coexistence of MLO and legacy SLO devices

Keigo Matsuda, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori

In the next-generation Wi-Fi standard IEEE 802.11be, the Multi-Link Operation (MLO) feature has been introduced, which enables devices to be equipped with multiple wireless interfaces and simultaneously utilize multiple frequency bands. The performance analysis models for MLO networks have been proposed to …

jp (code pays fourni par la source)

A Rapid Heatwave Prediction and Delivery System through Automatic Generation of 3D Urban Models and Automated Execution of Microclimate Simulations

Kazuya Honda, Keigo Matsuda, Yuya Kurihara, Moe Someya et autres

We developed a system to simulate heatwaves in a 2 km square area with a 5-m resolution, aimed at supporting heatstroke prevention decisions in urban areas with numerous structures. To achieve practical operational speed, the system enables automatic generation of 3D urban …

jp (code pays fourni par la source)

Multiscale analysis of inertial particle dynamics in turbulence with gravitational settling

Thibault Maurel–Oujia, Keigo Matsuda, Kai Schneider

International audience

us, jp, fr (code pays fourni par la source)

Assimilation of street observation data using building-resolved large-eddy simulation model

Keigo Matsuda, Toru Sugiyama

Development of micrometeorological digital twin that can suggest mitigation measures for urban heat environments is crucial for reducing the health risks due to summer heat. To estimate the urban heat environment, we perform large-eddy simulation (LES) of micrometeorology using Multi-Scale Simulator for …

jp (code pays fourni par la source)

Providing high-resolution heatstroke risk predictions for an artificial island in Osaka Bay

Kazuya Honda, Hiroshi Nakase, Keigo Matsuda, Toru Sugiyama et autres

Due to the effects of global warming in recent years, there are concerns that the damage caused by heatstroke will increase in Japan as well. To evaluate the risk of heatstroke, a meteorological model capable of calculating micrometeorology considering the effects of …

jp (code pays fourni par la source)

Neural network models for preferential concentration of particles in two-dimensional turbulence

Thibault Maurel–Oujia, Suhas S. Jain, Keigo Matsuda, Kai Schneider et autres

fr, us, jp (code pays fourni par la source)

Design and evaluation of a geothermal power plant integrated with Mg(OH)₂/MgO thermochemical energy storage system: A dynamic simulation for assessing flexibility in power generation, energy, and economics

Masahiro I. Aoki, Keigo Matsuda, Masaru Nakaiwa, Chihiro Fushimi

This study proposes a Carnot battery system that integrates MgO/Mg(OH) 2 -thermochemical energy storage (TCES) in a fluidized bed reactor (FBR) with Kalina cycle of a geothermal power plant . In the charge mode, surplus electricity from variable renewable energy is converted …

jp (code pays fourni par la source)

Multiresolution analysis of convergence and divergence of inertial particle velocity in turbulence

Thibault Maurel–Oujia, Keigo Matsuda, Kai Schneider

International audience

fr, jp (code pays fourni par la source)

Stokes-number dependence of inertial particle clustering in turbulence inertial subrange

Keigo Matsuda, Katsunori Yoshimatsu, Kai Schneider

International audience

jp, fr (code pays fourni par la source)

Heavy Particle Clustering in Inertial Subrange of High–Reynolds Number Turbulence

Keigo Matsuda, Katsunori Yoshimatsu, Kai Schneider

Direct numerical simulation of homogeneous isotropic turbulence shows pronounced clustering of inertial particles in the inertial subrange at high Reynolds number, in addition to the clustering typically observed in the near dissipation range. The clustering in the inertial subrange is characterized by …

jp, fr (code pays fourni par la source)