中文摘要：

进流动的能量的人工的输入是必要的在学习统计为采样创造并且维持统计上静止的各向同性的骚乱。由于通过 triadic 相互作用的在不同 Fourier 模式之中的非线性的联合，各种各样的强迫计划是否在骚乱影响统计，是一个重要、待研究的问题。我们在在 128 的强迫的各向同性的狂暴的流动的液体粒子的 Lagrangian 统计的现在的详细比较<啜class=“ a-plus-plus ”> 3 , 256 <啜class=“ a-plus-plus ”> 3 ,并且 512 <啜class=“ a-plus-plus ”> 3 模拟，与在 64171 的范围的Taylor规模雷纳兹数字，使用一确定并且一个随机的强迫计划分别地。几 Lagrangian 统计被比较，例如速度和加速 Lagrangian 速度增长的自相关，和时刻。在统计从二获得了强迫计划的 Lagrangian 的差别被显示小，显示使用的各向同性的强迫计划有在各向同性的骚乱的 Lagrangian 统计上的小效果。

英文摘要：

Artificial input of energy into the flow is neces sary to create and maintain a statistically stationary isotropic turbulence for sampling in studying the statistics. Due to the nonlinear coupling among different Fourier modes through the triadic interaction, whether or not various forc ing schemes affect the statistics in turbulence is an impor tant and open question. We present detailed comparison of Lagrangian statistics of fluids particles in forced isotropic turbulent flows in 1283, 2563, and 5123 simulations, with Taylorscale Reynolds numbers in the range of 64-171, us ing a deterministic and a stochastic forcing scheme, respec tively. Several Lagrangian statistics are compared, such as velocity and acceleration autocorrelations, and moments of Lagrangian velocity increments. The differences in the La grangian statistics obtained from the two forcing schemes are shown to be small, indicating that the isotropic forcing schemes used have little effects on the Lagrangian statistics in the isotropic turbulence.