Identifying the pattern of breakdown in a laminar-turbulent transition via binary sequence statistics and cellular-automaton simulations

Zhang, Wen1; Liu, Peiqing2,3; Guo, Hao2,3; Wan, Minping1; Wang, Jianchun1; Chen, Shiyi1,4

2019-08-20

10.1103/PhysRevE.100.023110

PHYSICAL REVIEW E   影响因子和分区

2470-0045

2470-0053

The laminar-turbulent transition induced by two-dimensional steplike roughness is investigated focusing on the pattern of breakdown. The statistics of the turbulent burst rate is found to be significantly different from the prediction of the classical theory. A systematic investigation of the pattern of breakdown is motivated by this phenomenon. It is identified with heuristic analysis that a pattern of distributed breakdown is responsible for the deviation, in contrast to the concentrated breakdown hypothesis in the classical theory. The pattern indicates that the steps probably induced a bypass transition in present experimental setup, which is different from the current understanding about the step-induced transition. Cellular-automaton simulations are carried out to validate the heuristic analysis. The influences of quasiconcentration and non-Poisson process in spot generation on the breakdown statistics are also discussed based on the simulation results.

SCI ; EI

英语

第一 ; 通讯

National Natural Science Foundation of China[11772033] ; National Natural Science Foundation of China[91752201]

Physics

Physics, Fluids & Plasmas ; Physics, Mathematical

WOS:000481826700010

AMER PHYSICAL SOC

20193707439562

Cellular automata

Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1

PHYSICS

Web of Science

1.Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Shenzhen 518055, Guangdong, Peoples R China
2.Beihang Univ, Minist Ind & Informat Technol, Key Lab Aeroacoust, Beijing 100191, Peoples R China
3.Beihang Univ, Minist Educ, Key Lab Fluid Mech, Beijing 100191, Peoples R China
4.Peking Univ, Coll Engn, Ctr Appl Phys & Technol, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China

Zhang, Wen,Liu, Peiqing,Guo, Hao,et al. Identifying the pattern of breakdown in a laminar-turbulent transition via binary sequence statistics and cellular-automaton simulations[J]. PHYSICAL REVIEW E,2019,100(2).

Zhang, Wen,Liu, Peiqing,Guo, Hao,Wan, Minping,Wang, Jianchun,&Chen, Shiyi.(2019).Identifying the pattern of breakdown in a laminar-turbulent transition via binary sequence statistics and cellular-automaton simulations.PHYSICAL REVIEW E,100(2).

Zhang, Wen,et al."Identifying the pattern of breakdown in a laminar-turbulent transition via binary sequence statistics and cellular-automaton simulations".PHYSICAL REVIEW E 100.2(2019).