中国物理B ›› 1993, Vol. 2 ›› Issue (6): 409-422.doi: 10.1088/1004-423X/2/6/002

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ONE-DIMENSIONAL SANDPILE MODEL WITH STOCHASTIC SLIDE

欧阳华甫1, 吕燕南1, 丁鄂江2   

  1. (1)Institute of Low Energy Nuclear Physics, Beijing Normal University, Beijing 100875, China; (2)Institute of Low Energy Nuclear Physics, Beijing Normal University, Beijing 100875, China;Institute of Theoretical Physics, Academia Sinica, Beijing 100080, China
  • 收稿日期:1992-09-24 出版日期:1993-06-20 发布日期:1993-06-20
  • 基金资助:
    Project supported by the National Basic Research Project "Nonlinear Science" and by Education Committee of the State Council through the Foundation of Doctoral Training.

ONE-DIMENSIONAL SANDPILE MODEL WITH STOCHASTIC SLIDE

OUYANG HUA-FU (欧阳华甫)a, Lü YAN-NAN (吕燕南)a, DING E-JIANG (丁鄂江)ab   

  1. a Institute of Low Energy Nuclear Physics, Beijing Normal University, Beijing 100875, China; b Institute of Theoretical Physics, Academia Sinica, Beijing 100080, China
  • Received:1992-09-24 Online:1993-06-20 Published:1993-06-20
  • Supported by:
    Project supported by the National Basic Research Project "Nonlinear Science" and by Education Committee of the State Council through the Foundation of Doctoral Training.

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摘要： A new kind of theoretical one-dimensional sandpile model is proposed. In contrast to the models studied previously, the sliding process in this model is assumed to be of stochastic nature. Numerical simulations show that the behavior of this model is apparently closer to the reality of true sandpile than the models considered previously. The universality and sealing of this model is also discussed.

Abstract: A new kind of theoretical one-dimensional sandpile model is proposed. In contrast to the models studied previously, the sliding process in this model is assumed to be of stochastic nature. Numerical simulations show that the behavior of this model is apparently closer to the reality of true sandpile than the models considered previously. The universality and sealing of this model is also discussed.

中图分类号:  (Self-organized systems)

  • 05.65.+b
05.10.Gg (Stochastic analysis methods) 02.50.Ey (Stochastic processes)