De-asymmetry of small-scale motions in wall-bounded turbulence
De-asymmetry of small-scale motions in wall-bounded turbulence
复制标题
壁面湍流中小尺度运动的去不对称性
DOI:
10.1063/5.0092548
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发表时间:
2022-05
影响因子:
4.6
通讯作者:
Wang Jinjun
中科院分区:
文献类型:
--
作者:
Zhang Qingfu;Pan Chong;Wang Jinjun
The present work focuses on the symmetry-breaking phenomenon in large-to-small amplitude modulation(AM) of wall-bounded turbulence. Using the recently proposed multi-component variational mode decomposition method, the volumetric velocity fields of a spatially developing turbulent boundary layer being obtained by Direct Numerical Simulation(DNS) is decomposed into four three-dimensional intrinsic mode functions(IMFs), whose spanwise length scales are fully separated from each other. It is found that the first IMF(1IMF) mainly characterizes the streamwise large-scale(LS) and very-large-scale turbulent motions. Splatting and sputtering events are observed in the second IMF(2IMF), leading to the biased conditional probability density functions(PDFs) of near-wall $u_{2text{IMF}}$ and $v_{2text{IMF}}$ under the condition of extreme large-scale motions. This is in distinct contrast to the hierarchical self-similarity of the wall-normal profiles of Reynolds shear stress(RSS) of the last two IMFs. When treating 2IMF as components of small-scale(SS) turbulent motions, such splatting and sputtering events lead to asymmetric AM effect, i.e., the AM coefficients corresponding to positive and negative LS motions are asymmetric to each other. The underlying reason is that these strong quadrant events are spatially asymmetric and are tightly coupled with local LS motions. Based on this observation, a de-spatial-asymmetry(DSA) method is proposed to obtain asymmetry-free `universal' SS turbulent motions. This method includes the removal of the transitional 2IMF from SS motions, the de-amplitude modulation and the length-scale rescaling. Analysis of single-point velocity statistics, RSS, as well as velocity spectrum, shows that the `universality' of SS motions derived from the DSA method is remarkably improved.