한국가시화정보학회지 (Journal of the Korean Society of Visualization)

  • 제17권3호
  • /
  • Pages.32-38
  • /
  • 2019
  • /
  • 1598-8430(pISSN)
  • /
  • 2093-808X(eISSN)
한국가시화정보학회 (The Korean Society of Visualization)
권호 표지
DOI QR코드

DOI QR Code

군집을 모사한 입자-격자 구조의 난류 내 동적 안정성

Dynamic Stability of Particle-Lattice Structures Simulating Swarms in Turbulence

  • Oh, Jeong Suk (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Yoon, Sung Gun (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Park, Han June (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Hwang, Wontae (Department of Mechanical & Aerospace Engineering, Seoul National University)
  • 투고 : 2019.12.07
  • 심사 : 2019.12.17
  • 발행 : 2019.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The dynamic stability of swarms is crucial in preventing collisions in clustered flights and safely moving along a defined path. Although there have been many simulation studies on dynamic stability, there have not been many experimental studies using real clusters due to the difficulty in implementation. In this study, we constructed a particle-lattice structure simulating bird flocks or drone swarms, and conducted experiments within turbulent flow. We identified a criterion that describes dynamically stable particle-lattice structures. The stability increased as this newly defined spatial index increased.

키워드

참고문헌

  1. Weimerskirch, H., Martin, J., Clerquin, Y., Alexandre, P., and Jiraskova, S., 2001, "Energy saving in flight formation," Nature, Vol. 413, pp. 697-698. https://doi.org/10.1038/35099670
  2. Bowlin, M.S. and Wikelski, M., 2008, "Pointed wings, low wingloading and calm air reduce migratory flight costs in songbirds," PloS one, Vol. 3, p. e2154. https://doi.org/10.1371/journal.pone.0002154
  3. Pennycuick, C., Alerstam, T., and Hedenstrom, A., 1997, "A new low-turbulence wind tunnel for bird flight experiments at Lund University, Sweden," Journal of Experimental Biology, Vol. 200, pp. 1441-1449. https://doi.org/10.1242/jeb.200.10.1441
  4. Hwang, W. and Eaton, J.K., 2004, "Creating homogeneous and isotropic turbulence without a mean flow," Experiments in Fluids, Vol. 36, pp. 444-454. https://doi.org/10.1007/s00348-003-0742-6
  5. Variano, E.A. and Cowen, E.A., 2008, "A random-jet-stirred turbulence tank," Journal of Fluid Mechanics, Vol 604, pp. 1-32. https://doi.org/10.1017/S0022112008000645
  6. Reynolds, C.W., 1987, Flocks, herds and schools: A distributed behavioral model, ACM, pp. 25-34.
  7. Toner, J. and Tu, Y., 1995, "Long-range order in a two-dimensional dynamical XY model: how birds fly together," Physical review letters, Vol. 75, p. 4326. https://doi.org/10.1103/PhysRevLett.75.4326
  8. Young, G. F., Scardovi, L., Cavagna, A., Giardina, I., and Leonard, N. E., 2013, "Starling Flock Networks Manage Uncertainty in Consensus at Low Cost," Plos Computational Biology, Vol. 9, e1002894 https://doi.org/10.1371/journal.pcbi.1002894
  9. Brown, D. and Christian, W., 2011, "Simulating what you see: combining computer modeling with video analysis," In 8th International Conference on Hands on Science. Ljubljana, Slovenija.
  10. Sapir, N., Horvitz, N., Wikelski, M., Avissar, R., Mahrer, Y., and Nathan, R., 2011, "Migration by soaring or flapping: numerical atmospheric simulations reveal that turbulence kinetic energy dictates bee-eater flight mode," Proceedings of the Royal Society B: Biological Sciences, Vol. 278, pp. 3380-3386. https://doi.org/10.1098/rspb.2011.0358
  11. Higdon, J. J. L., and Corrsin, S., 1978, "Induced drag of a bird flock," The American Naturalist, Vol. 112, pp. 727-744. https://doi.org/10.1086/283314