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농업시스템응용플랫폼을 이용한 2계 편미분 방정식의 해석

Numerical Solution of Second Order Linear Partial Differential Equations using Agricultural Systems Application Platform

  • Lee, SungYong (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Taegon (Institute on the Environment, University of Minnesota) ;
  • Suh, Kyo (Graduate School of International Agricultural Technology, Institute of Green Bio Science & Technology, Seoul National University) ;
  • Han, Yicheol (Northeast Regional Center for Rural Development, The Pennsylvania State University) ;
  • Lee, Jemyung (Division of Environmental Science and Technology, Kyoto University) ;
  • Yi, Hojae (Department of Agricultural and Biological Engineering, The Pennsylvania State University) ;
  • Lee, JeongJae (Department of Landscape Architecture and Rural Systems Engineering, Institute of Green Bio Science & Technology, Seoul National University)
  • 투고 : 2015.12.10
  • 심사 : 2016.01.25
  • 발행 : 2016.01.30

초록

The Agricultural Systems Application Platform (ASAP) provides bottom-up modelling and simulation environment for agricultural engineer. The purpose of this study is to expand usability of the ASAP to the second order partial differential equations: elliptic equations, parabolic equations, and hyperbolic equations. The ASAP is a general-purpose simulation tool which express natural phenomenon with capsulized independent components to simplify implementation and maintenance. To use the ASAP in continuous problems, it is necessary to solve partial differential equations. This study shows usage of the ASAP in elliptic problem, parabolic problem, and hyperbolic problem, and solves of static heat problem, heat transfer problem, and wave problem as examples. The example problems are solved with the ASAP and Finite Difference method (FDM) for verification. The ASAP shows identical results to FDM. These applications are useful to simulate the engineering problem including equilibrium, diffusion and wave problem.

키워드

참고문헌

  1. Choi, W., and H. J. Kim. 2015. Development of Three Dimensional Chloride Ion Penetration Model Based on Finite Element Method. Journal of The Korean Society of Agricultural Engineers 57(5):43-49. (in Korean) https://doi.org/10.5389/KSAE.2015.57.5.043
  2. Courant, R., K. Friedrichs, and H. Lewy. 1967. On the partial difference equations of mathematical physics. IBM journal of Research and Development 11(2):215-234. https://doi.org/10.1147/rd.112.0215
  3. Jeon, J. B., S. S. Yoon, J. S. Park, and H. R. Lee. 2012. Probability Analysis of Plane Strain Element using Boundary Element Method. Journal of The Korean Society of Agricultural Engineers 54(4):39-46. (in Korean) https://doi.org/10.5389/KSAE.2012.54.4.039
  4. Jun, S. M., M. S. Kang, I. Song, J.-H. Song, J. Park, and W. Kee. 2014. Development of agricultural reservoir water supply simulation system. Journal of Korean Society of Rural Planning 20(2):103-114. (in Korean) https://doi.org/10.7851/ksrp.2014.20.2.103
  5. Kang, M. S., J. H. Song, J. H. Park, I. H. Song, W. S. Ki, and J. T. Kim. 2015. Introduction of COMFARM: Component Based Modeling Framework for Rural Water Cycle Analysis. Rural resource 57(1):55-62. (in Korean)
  6. Kim, T. G. 2014. Development of Agricultural Systems Application Platform enhancing Connection, Communication, and Cloning. Ph.D. Diss., Seoul, South Korea: Seoul National University. (in Korean)
  7. Kim, T. G., and J. J. Lee. 2007. GASS Improvement using Diverse Communication Layers of Material and Information. Journal of The Korean Society of Agricultural Engineers 49(1):101-109. (in Korean) https://doi.org/10.5389/KSAE.2007.49.1.101
  8. Kim, T. G., and J. J. Lee. 2009. Development of a Graphical Modeler for Manipulating Series Data Based on Object-Oriented Technique. Journal of The Korean Society of Agricultural Engineers 51(2):43-49. (in Korean) https://doi.org/10.5389/KSAE.2009.51.2.043
  9. Kim, T. G., J. J. Lee, and K. Suh. 2014a. Development of a Truss Structure Analysis Model based on Cellular Automata and Object-oriented Simulation Environment. Journal of The Korean Society of Agricultural Engineers 56(3):1-9. (in Korean)
  10. Kim, T. G., S. Y. Lee, H. J. Yi, J. J. Lee, and K. Suh. 2014b. Development of GASS2 through Improving Inter-component Connection and Communication Modules. Journal of The Korean Society of Agricultural Engineers 56(5):29-36. (in Korean) https://doi.org/10.5389/KSAE.2014.56.5.029
  11. Kreyszig, E. 1988. Advanced engineering mathematics. John Wiley & Sons.
  12. Park, J. H., M. S. Kang, J. H. Song, S. M. Jun, K. U. Kim, and J. H. Ryu. 2015. Web-Based Data Processing and Model Linkage Techniques for Agricultural Water-Resource Analysis. Journal of The Korean Society of Agricultural Engineers 57(5):101-111. (in Korean) https://doi.org/10.5389/KSAE.2015.57.5.101
  13. Yeo, U. H., Y. S. Jo, K. S. Kwon, T. H. Ha, S. J. Park, R. W. Kim, S. Y. Lee, S. N. Lee, I. B. Lee, and I. H. Seo. 2015. Analysis on Ventilation Efficiency of Standard Duck House using Computational Fluid Dynamics. Journal of The Korean Society of Agricultural Engineers 57(5):51-66. (in Korean) https://doi.org/10.5389/KSAE.2015.57.5.051
  14. Yi, H. J. 2003. Simplifying complexity and emerging selforganization of integrated agricultural system models. Ph.D. Diss., Seoul, South Korea: Seoul National University.