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Center for Mathematical Science and Advanced Technology (MAT)

Members



Daisuke Nishiura

photo

Senior Research Scientist
Japan Agency for Marine-Earth Science and Technology
Center for Mathematical Science and Advanced Technology

3173-25, Showa-machi, Kanazawa-ku, Yokohama-city, Kanagawa, 236-0001, Japan
nishiura_at_jamstec.go.jp


Short CV

Dr. Nishiura had performed the simulation study of chemical engineering process involving particle-fluid multiphase phenomena in powder technology laboratory of Doshisha university, and graduated with a doctorate in Engineering. After that, from the engineer's point of view, he has been doing research and development in a wide range of fields including the earth science. His work has been contributing to not only the clarification of non-linear phenomena involving various dynamics of fluid and granular materials but also the application of simulation technology to the powder industry and civil engineering.

Employment

2008.4 - 2011.3 Postdoctoral Researcher 
Institute for Research on Earth Evolution, Japan Agency for Marine-Earth Science and Technology
2011.4 - 2014.3 Scientist 
Institute for Research on Earth Evolution, Japan Agency for Marine-Earth Science and Technology
2014.4 - 2018.3 Research Scientist 
Department of Mathematical Science and Advanced Technology, Japan Agency for Marine-Earth Science and Technology
2018.4 - Present Senior Research Scientist 
Department of Mathematical Science and Advanced Technology, Japan Agency for Marine-Earth Science and Technology

Education

2008.3 Ph.D. in Engineering, Department of Applied Chemistry, Graduate School of Engineering, Doshisha University

Awards

2005.5 Best Presentation Award, Spring annual meeting of Society of Powder Technology, Japan
2010.5 Best Paper Award, The Society of Powder Technology, Japan
2011.5 Outstanding Paper Award, The Japan Society for Computational Engineering and Science
2014.6 Visualization Award (Special Award), 19th annual meeting of the Japan Society for Computational Engineering and Science
2015.4 JAMSTEC FY2014 Special Achievement Award
2016.6 Visualization Award (Best Award), 21th annual meeting of the Japan Society for Computational Engineering and Science
2017.6 Visualization Award (Special Award), 22th annual meeting of the Japan Society for Computational Engineering and Science
2017.6 Visualization Award (Excellence Award), 22th annual meeting of the Japan Society for Computational Engineering and Science

Research Topics

Coupled problem of the structure and tsunami
The Great East Japan Earthquake has brought a large tsunami disaster. Seewalls were supposed to protect the human life and home from the tsunami, however, most of which are destroyed by the tsunami. Therefore, a new method of constructing a strong seawall is required to tsunami disaseter reduction. In this study, we developed a multiphysics simulation technique that forms a discrete element method (DEM) to calculate the movement of the mound ground and seawall coupled with a smoothed particle hydrodynamics (SPH) to calculate the tsunami flow. By using the simulation, we are investigating the collapse mechanism of the seawall by the tsunami (see below animation). In addition, with the help of the latest parallel computers such as the K computer, graphics processor (GPU), and XeonPHI, we are also working on the large-scale analysis for the coupled problem of the structure and tsunami.
"Collapse behavior of seawall and mound ground by tsunami undertow"
Optimum design of railroad track ballast
Ballast (gravel) is laid below the railroad track that has an important role to absorb the vibration and noise induced by the train running. However, since the ballast is worn away by repeated impact due to the train running that causes the sinking of the track, the replacement of the ballast is required to perform on a regular basis. In this study, in order to find the optimal condition for improving the shock absorbing capacity and stability of the track ballast, a new simulation technique called Multi-QDEM was developed that calculates the behavior of an deformable object by subdividing the object into tetrahedral elements. By the simulation method, we are analyzing the impact response of sleepers and ballast (see below animation), where color contour shows the magnitude of the displacement due to the impact loading. It represents the degradation of the ballasted rail track owing to a large impact load transmitted to the sleepers from the line. In addition, we have carried out large-scale parallel computing of Multi-QDEM using a graphics processor (GPU).
"Impact response behavior of sleepers and ballast"
Rheological behavior of plate-like particle suspensions
As geological phenomena involving fluid flow and solid particle motion, the formation process of rock structure in which crystal grains layer and melt layer of magma is separated has been well known. Since the rheology of magma and rock structure are closely related, in order to estimate the rheology of magma in the formation process of rock structures, it is necessary to clarify the microstructure formation mechanism of the magma in shear flow conditions. In this study, we model the plate-like particle behavior in the fluid, and investigate the microstructure formation mechanism of the plate-like particles in the shear flow condition using a discrete element method (DEM) coupled with a computational fluid dynamics (CFD). It is possible to be confirmed from the below animation that particles are locally consolidated and form many clusters in the shear flow and how the orientation of the plate-like particle is perpendicular to that outside the cluster. The color contour represents the magnitude of the contact force between the particles.
"Clusterization of plate-like particles in a simple shear flow"
Massive parallelization of particle simulaion
Over the last few decades, the computational demands of massive particle-based simulations for both scientific and industrial purposes have been continuously increasing. In such simulations, particles freely move within a given space, and so on a distributed-memory system, load balancing, i.e., assigning an equal number of particles to each processor, is not guaranteed. On the other hand, shared-memory systems achieve better load balancing for particle models, but suffer from the intrinsic drawback of memory access competition. In this study, in order to overcome these problems, we develop novel parallel algorithms for a multicore multiprocessor computer, vector supercomputer, and graphics processing unit (GPU). In particular, because the computational load increases if there is a particle size distribution in the DEM (see below animation), we develop algorithms to implove this. And also, we perform the development of open-source of parallelized DEM.
"Size segregation of particles in the vertically vibrated container"
Optimum design of aggregate disintegration process
Although many new and advanced nanoparticle-based functional materials have been developed, the high surface energy of nanoparticles induces the formation of aggregates that hinders the achievement of the target performance of the material. Disintegration of nanoparticle aggregates is thus a key process and is typically realized with a wet dispersion process using a stirred media bead mill. In this study, we develop a numerical method for simulating multiphase flow with beads and particulates using a discrete element method (DEM) and a computational fluid dynamics (CFD) and employ the four-way coupling simulation to study the disintegration mechanism of aggregates in a simple shear box (see below animation).
"Multiphase flow of aggregates and beads in a simple shear flow"
Pattern formation of granular matter
In the natural phenomenon of granular matter, there are many mysterious non-linear phenomena as pattern formation or oscillatory convection of powder, collision behavior of non-spherical particles, rheology of particulate suspensions. In this study, we have done a lot of experiments and simulations for the non-linear phenomenon of granular materials. For example, it is well known experimentally that the powder has various oscillation or convection patterns on the vertically vibrated flat container. However, what will happen if we oscillate the powder attracted to a spherical shell on gravity as the earth? The below animation shows the pattern formation process of the powder on a vibrated spherical shell using the DEM simulation. The color contour represents the height of the particle position in the vertical direction, the various patterns can be formed in depend on the vibration acceleration.
"Pattern formation of a vertically vibrated granular layer on spherical shell"

Publications

Original Papers (Peer-Reviewed)

  1. Kensuke Harasaki, Mitsuteru Asai, Tetsuro Goda, Kiyonobu Kasama, Daisuke Nishiura, P​i​p​i​n​g​ ​D​e​s​t​r​u​c​t​i​o​n​ ​A​n​a​l​y​s​i​s​ ​o​f​ ​a​ ​B​r​e​a​k​w​a​t​e​r​ ​b​y​ ​S​P​H​-​D​E​M​ ​C​o​u​p​l​e​d​ ​M​e​t​h​o​d, Journal of JSCE, Ser.A2, 73, 2, I_295-I_304 (2018), doi:10.2208/jscejam.73.I_295
  2. Keita Ogasawara, Mitsuteru Asai, Mikito Furuichi, Daisuke Nishiura, D​e​v​e​l​o​p​m​e​n​t​ ​o​f​ ​a​n​ ​E​x​p​l​i​c​i​t​ ​S​c​h​e​m​e​ ​o​f​ ​t​h​e​ ​S​t​a​b​i​l​i​z​e​d​ ​I​S​P​H​ ​f​o​r​ ​L​a​r​g​e​ ​S​c​a​l​e​d​ ​T​s​u​n​a​m​i​ ​R​u​n​-​u​p​ ​S​i​m​u​l​a​t​i​o​n, Journal of JSCE, Ser.A2, 73, 2, I_397-I_404 (2018), doi:10.2208/jscejam.73.I_397
  3. Daisuke Nishiura, Hirotaka Sakai, Akira Aikawa, Satori Tsuzuki, Hide Sakaguchi, Novel discrete element modeling coupled with finite element method for investigating ballasted railway track dynamics, Computers and Geotechnics, 96, 40-54, (2018), doi:10.1016/j.compgeo.2017.10.011
  4. Keisuke Oda, Yuuji Maeda, Daisuke Nishiura, Shun Nomura, Norihiro Izumi, Takeshi Nishihata, Hide Sakaguchi, Study on bathymetry changes in the lower regime by tsunami, Journal of JSCE, Ser.B3, 73, 2, I_660-I_665 (2017), doi:10.2208/jscejoe.73.I_660
  5. Mikito Furuichi, Daisuke Nishiura, Iterative load-balancing method with multigrid level relaxation for particle simulation with short-range interactions, Comp. Phys. Comm., 219, 135-148, (2017), doi:10.1016/j.cpc.2017.05.015
  6. Tomo-o Watsuji, Remi Tsubaki, Chong Chen, Yukiko Nagai, Satoshi Nakagawa, Masahiro Yamamoto, Daisuke Nishiura, Takashi Toyofuku, Ken Takai, Cultivation mutualism between a deep-sea vent galatheid crab and its chemosynthetic epibionts, Deep-Sea Res. I, 127, 13-20, (2017), doi:10.1016/j.dsr.2017.04.012
  7. Daisuke Nishiura, Hide Sakaguchi, Akira Aikawa, Development of Viscoelastic Multi-Body Simulation and Impact Response Analysis of a Ballasted Railway Track under Cyclic Loading, Materials, 10, 615 (2017), doi:10.3390/ma10060615
  8. Akira Aikawa, Masakazu Takagaki, Hirotaka Sakai, Masae Hayashi, Daisuke Nishiura, Hide Sakaguchi, Construction of Large-Scale BAllasted Track Analytical Model by QDEM, RTRI Report, 30, 2, 23-28 (2016), PDF
  9. Tetsuya Iwamoto, Hitoshi Nakase, Daisuke Nishiura, Kazuhiro Tsurugasaki, Junji Miyamoto, Junji Kiyono, Application of drag model on SPH-DEM coupling analysis method for the failure simulation of rubble mound foundation at a caisson breakwater during TSUNAMI, Journal of JSCE, Ser.A2, 71, 2, I_579-I_586 (2015), doi:10.2208/jscejam.71.I_579
  10. Hiroyuki Kkatayama, Yuuji Maeda, Kouichirou Anno, Syuro Yoshikawa, Hide Sakaguchi, Daisuke Nishiura, Basic research about the biased particle size distribution of onshore tsunami sediment, Journal of JSCE, Ser.B3, 71, 2, I_641-I_646 (2015), doi:10.2208/jscejoe.71.I_641
  11. Daisuke Nishiura, Mikito Furuichi, Hide Sakaguchi, Computational performance of a smoothed particle hydrodynamics simulation for shared-memory parallel computing, Comp. Phys. Comm., 194, 18-32 (2015), doi:10.1016/j.cpc.2015.04.006
  12. Daisuke Nishiura, Hide Sakaguchi, Atsuko Shimosaka, Wet dispersion mechanism of fine aggregates in multiphase flow with solid beads under simple shear, AIChE J., 60, 12, 4076-4085 (2014), doi:10.1002/aic.14614
  13. Daisuke Nishiura, Hide Sakaguchi, Microscopic measurements of planar viscoelastic body eccentric impacts on a convex corner, Int. J. Non-Linear Mech., 67, 133-143 (2014), doi:10.1016/j.ijnonlinmec.2014.08.015
  14. Mikito Furuichi, Daisuke Nishiura, Robust coupled fluid-particle simulation scheme in Stokes-flow regime: toward the geodynamic simulation including granular media, Geochem. Geophys. Geosyst., 15, 7, 2865-2882 (2014), doi:10.1002/2014GC005281
  15. Tetsuya Iwamoto, Hitoshi Nakase, Daisuke Nishiura, Kazuhiro Higashiyama, Takahiro Sugano, Akihiko Yahiro, 3D SPH-DEM simulation of tsunami overflow experiment using GPGPU, Journal of JSCE, Ser.A1, 70, 4, I_295-I_303 (2014), doi:10.2208/jscejseee.70.I_295
  16. Miki Y. Matsuo, Daisuke Nishiura, Hide Sakaguchi, Geometric effect of angle of repose revisited, Granular Matter, 16, 4, 441-447 (2014), doi:10.1007/s10035-014-0489-1
  17. Daisuke Nishiura, Miki Y. Matsuo, Hide Sakaguchi, ppohDEM: Computational performance for open source code of the discrete element method, Comp. Phys. Comm., 185, 5, 1486-1495 (2014), doi:10.1016/j.cpc.2014.02.014
  18. Hiroshi Kawabata, Daisuke Nishiura, Hide Sakaguchi, Yoshiyuki Tatsumi, Self-organized domain microstructures in a plate-like particle suspension subjected to rapid simple shear, Rheologica Acta, 52, 1, 1-21 (2013), doi:10.1007/s00397-012-0657-3
  19. Atsuko Shimosaka, Ryoko Asahi, Daisuke Nishiura, Yoshiyuki Shirakawa, Jusuke Hidaka, Design of Nanoparticle Dispersion Process in Stirred Media Mill Using DEM-LES Coupling Method, J. Chem. Eng. Japan, 45, 10, 801-810 (2012), doi:10.1252/jcej.12we022
  20. Arito Sakaguchi, Hide Sakaguchi, Daisuke Nishiura, Masao Nakatani, Shingo Yoshida, Elastic stress indication in elastically rebounded rock, Geophys. Res. Lett., 38, 9, L09316 (2011), doi:10.1029/2011GL047055
  21. Daisuke Nishiura, Hide Sakaguchi, Parallel-Vector Algorithms for Particle Simulations on Shared-Memory Multiprocessors, J. Comput. Phys., 230, 5, 1923-1938 (2011), doi:10.1016/j.jcp.2010.11.040
  22. Shigeto Miyazaki, Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Revealing the Formation Mechanism of Granules by Drying Simulation of Slurry Droplet, (Translated paper for SPTJ Best Paper Award 2009), Adv. Powder Technol., 22, 1, 93-101 (2011), doi:10.1016/j.apt.2010.12.007
  23. Daisuke Nishiura, Yukiko Wakita, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Estimation of Power during Dispersion in Stirred Media Mill by Coupled DEM-LES Simulation, J. Chem. Eng. Japan, 43, 10, 841-849 (2010), doi:10.1252/jcej.10we118
  24. Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Simulation of Drying of Particulate Suspensions in Spray-Drying Granulation Process, J. Chem. Eng. Japan, 43, 8, 641-649 (2010), doi:10.1252/jcej.10we040
  25. Daisuke Nishiura, Hide Sakaguchi, GPU Acceleration Techniques for DEM Simulations of Granular Materials with Broad Particle Size Distribution, Trans. JSCES, 2010, Paper No.201000008 (2010)
  26. Daisuke Nishiura, Hide Sakaguchi, High-Efficiency Algorithm for DEM Simulation on GPU, Trans. JSCES, 2010, Paper No.201000007 (2010)
  27. Hide Sakaguchi, Daisuke Nishiura, What Kind of Frictional Parameter Should be Used in the Polygonal DEM for the Eccentric Collision Simulations?, Theoretical and Applied Mechanics Japan, 58, 309-319 (2009), doi:10.11345/nctam.58.309
  28. Hide Sakaguchi, Daisuke Nishiura, Development of Hyper Intelligent Discrete Element Method (HiDEM) and its application for science and industry, JAMSTEC Report R&D, Special, 201-210 (2009), doi:10.5918/jamstecr.2009.201
  29. Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Analysis of Formation Mechanism of Particle Structures by Using a Simulation for Drying Behavior of Particulate Suspensions, Jpn. J. Multiphase Flow, 23, 1, 53-65 (2009), doi:10.3811/jjmf.23.53
  30. Shigeto Miyazaki, Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Revealing the Formation Mechanism of Granules by Drying Simulation of Slurry Droplet, J. Soc. Powder Technol., Japan, 45, 9, 632-641 (2008), doi:10.4164/sptj.45.632
  31. Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Simulation of Drying Process of Suspensions Containing Fine Solid Particles Using DEM and CIP method, KAGAKU KOGAKU RONBUNSHU, 34, 3, 321-330 (2008), doi:10.1252/kakoronbunshu.34.321
  32. Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, New Equation for Estimating Hindered Settling Velocity of a Particle in Polydisperse Suspension, KAGAKU KOGAKU RONBUNSHU, 32, 4, 341-347 (2006), doi:10.1252/kakoronbunshu.32.341
  33. Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Hybrid Simulation of Hindered Settling Behavior of Particles Using Discrete Element Method and Direct Numerical Simulation, KAGAKU KOGAKU RONBUNSHU, 32, 4, 331-340 (2006), doi:10.1252/kakoronbunshu.32.331

Proceedings (Peer-Reviewed)

  • Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Estimation of the Hindered Settling Velocity of a Particle in Polydisperse Suspensions, Proc. of the 5th World Congress of Powder Technology (2006)
  • Daisuke Nishiura, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Simulation of Hindered Settling Behavior by using a Discrete Element Method and a Direct Numerical Simulation, Proc. of the 10th APCChE Congress (2004)

Other Publications (Non Peer-Reviewed)

  • D. Nishiura and H. Sakaguchi, スイスの鉄道を水の流れから守る, Blue Earth, 143, 8-11 (2016)
  • D. Nishiura, M Furuichi and H. Sakaguchi, 混相流に対する粒子法シミュレーション ―津波からマグマまで―, KINZOKU Materials science and technology, 85, 11, 894-900 (2015)
  • H. Sakaguchi and D. Nishiura, DEMIGLACE, INNOVATION News of JAMSTEC, 11, 10-13 (2009)
  • H. Sakaguchi, S. Wada, K. Tsubota, Y. Kitagawa, J. Hidaka, A. Shimosaka and D. Nishiura, Particle Modeling for Complex Multi-Phase System with Internal Structures using DEM, Annual Report of the Earth Simulator Center, 201-207 (2005)
  • H. Sakaguchi, N. Ito, S. Yukawa, S. Wada, K. Tsubota, R. Kobayashi, D. Nishiura, J. Hidaka, A. Shimosaka and T. Matsushima, Particle Modeling for Complex Multi-Phase System with Internal Structures using DEM, Annual Report of the Earth Simulator Center, 147-149 (2004)