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4 CFDEM DEM DEM(MPI) LIGGGHTS CFD CFD
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6 11) 10) β D n = βd (1) D n β D 10) 10) β = β β β = β = 0.2 β = 0.5
7 ( ) β (-) β β 1) Zhu, H.P., Zhou, Z.Y., Yang, R.Y., Yu, A.B. Discrete particle simulation of particulate systems: A review of major applications and findings, Chemical Engineering Science, 63, (2008), ) Goniva, C., Kloss, C., Deen, N.G., Kuipers, J.A.M., Pirker, S.Influence of rolling friction modelling on single spout fluidized bed simulations, Particuology, 10, 5, (2012). 3) Weller, H. G., Tabor, G., Jasak, H., Fureby, C.A tensorial approach to computational continuum mechanics using object-oriented techniques, Computers in Physics, 12(6), (1998), ) Kloss, C., Goniva, C., Hager, A., Amberger, S., Stefan Pirker, S.Models, algorithms and validation for opensource DEM and CFD-DEM, Progress in Computational Fluid Dynamics, An Int. J. 12, (2012), ) Feng, Y. Q., Yu, A. B.Assessment of model formulations in the discrete particle Simulation of gas-solid flow, Industrial and Engineering Chemistry Research, 43, (2004), ) Cleary, P.W.Industrial particle flow modeling using discrete element method, Eng. Comput., 26, 6 (2009), ) Lillie, C., Wriggers, P.Three-dimensional modeling of discrete particles by superellipsoids, Proc. Appl. Math. Mech., 6 (2006), ) Zhao, D., Nezami, E. G., Hashash, Y. M. A. Three-dimensional discrete element simulation for granular materials., Eng. Comput. Int. J. Comput. Aided Eng. Softw., 23, 7 (2006), ) Bierwisch, C., Kübler, R., Kleer, G., Moseler, M.Modelling of contact regimes in wire sawing with dissipative particle dynamics, Phil. Trans. R. Soc. A, 369 (2011), ) 10 (2011), ) 59A (2013), 208.
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9 pbesti gbest v i1 wvi r1 c1( pbesti xi ) r c ( gbest x ) 2 2 x x v i1 i i1 x i x i1 xi xi i r 0.5 r 0.5 E A exp T Ti 1 T i 1 x1x 2 f ( x) min x3x4 12 x 60 i 1,2,3,4 i x1, x2, x3, x4 16,19,43,49 19,16,43,49 16,19,49,43 19,16,43,49 1) Sandgren, E., Nonliear Integer and Discrete Programming in Mechanical Design Optimization, ASME/J. of Mechanical Design, Vol.112, (1990), pp ,2017
10 FluentANSYS HyperStudy Altair 2 Fluent Fluent HyperStudy Fluent HyperStudy 1 Gambit Fluent HyperMesh HyperStudy 1. 2 HyperMesh mm 8 12
11 2. HyperStudy mm 500mm 125mm mm ARSM Adaptive Response Surface Method ARSM 4 1 ARSM 5 ARSM 998.6mm Pa 5. ARSM 500mm 125mm 3. Altair HyperStudy 4. 12
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14 SSB 3) Q=FV [Nm/s] =FV [Watt] FLUX MARC F V 3 4 Q 3 R 4000 GLUE F V Q 12 12
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17 2-2 MARC J 2-5 J K E Bb (3 =1.9) (3) 12
18 1) 20 2m 2m 16 12
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21 -2 Simulink - Heat Model Heat Model Level2 MATLAB S-Function API *1 Simulink MATLAB Simulink MATLAB MATLAB MATLAB *1 Application Program Interface: Level2 MATLAB S-Function Simulink Level2 MATLAB S-Function % function HeatModel( block ) % % % end % function InitConditions(block) % Q Q=T0*rho*Cp*V; block.contstates.data=q; end % function Derivative (block) % dq Alpha=@(s) *s^ *s ; Qin=block.InputPort(2).Data; s=block.inputport(1).data; Qout=A*Alpha(s)*(T-Text); dq=qin-qout; block.derivatives.data=dq; end % function Output (block) % Q T Q=block.ContStates.Data T=Q/(rho*Cp*V); block.outputport(1).data =T; end Level2 MATLAB S-Function [] Level2 MATLAB S-Function 19 12
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23 2 0M V=0.0m/s 2 V=1.0m/s A B. 1 2 TEL: npd.cae-sales@eng.nssmc.com
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71 特集 オープンソースの大きな流れ Nonlinear Sloshing Analysis in a Three-dimensional Rectangular Pool Ken UZAWA, The Center for Computational Sciences and E-systems, Japan Atomic Energy Agency 1 1.1 ( ) (RIST) (ORNL/RSICC)
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IPSJ SIG Technical Report NetMAS NetMAS NetMAS One-dimensional Pedestrian Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yam
1 1 1 1 1 NetMAS NetMAS NetMAS One-dimensional Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yamashita, 1 Masaki Onishi, 1 Ikushi Yoda 1 and Itsuki Noda 1 We propose the one-dimentional
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Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting
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41 COSMOS-V, an Aerodynamic Noise Simulator Nariaki Horinouchi COSMOS-V COSMOS-V COSMOS-V 3 The present and future computational problems of the aerodynamic noise analysis using COSMOS-V, our in-house
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