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Algorithm for transient growth of perturbations in channel Poiseuille flow

Algorithm for transient growth of perturbations in channel Poiseuille flow

作     者:Jianlei ZHANG Gang DONG Yi LI 

作者机构:National Key Laboratory of Transient Physics Nanjing University of Science and Technology School of Mathematics and Statistics University of Sheffield 

出 版 物:《Applied Mathematics and Mechanics(English Edition)》 (应用数学和力学(英文版))

年 卷 期:2017年第38卷第11期

页      面:1635-1650页

核心收录:

学科分类:080703[工学-动力机械及工程] 080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学(可授工学、理学学位)] 

基  金:supported by the National Natural Science Foundation of China(No.11372140) 

主  题:transient growth Poiseuille flow Arnoldi method Krylov subspace adjoint equation 

摘      要:This study develops a direct optimal growth algorithm for three-dimensional transient growth analysis of perturbations in channel flows which are globally stable but locally unstable. Different from traditional non-modal methods based on the Orr- Somrnerfeld and Squire (OSS) equations that assume simple base flows, this algorithm can be applied to arbitrarily complex base flows. In the proposed algorithm, a re- orthogonalization Arnoldi method is used to improve orthogonality of the orthogonal basis of the Krylov subspace generated by solving the linearized forward and adjoint Navier-Stokes (N-S) equations. The linearized adjoint N-S equations with the specific boundary conditions for the channel are derived, and a new convergence criterion is pro- posed. The algorithm is then applied to a one-dimensional base flow (the plane Poiseuille flow) and a two-dimensional base flow (the plane Poiseuille flow with a low-speed streak) in a channel. For one-dimensional cases, the effects of the spanwise width of the chan- nel and the Reynolds number on the transient growth of perturbations are studied. For two-dimensional cases, the effect of strength of initial low-speed streak is discussed. The presence of the streak in the plane Poiseuille flow leads to a larger and quicker growth of the perturbations than that in the one-dimensional case. For both cases, the results show that an optimal flow field leading to the largest growth of perturbations is character- ized by high- and low-speed streaks and the corresponding streamwise vortical structures. The lift-up mechanism that induces the transient growth of perturbations is discussed. The performance of the re-orthogonalization Arnoldi technique in the algorithm for both one- and two-dimensional base flows is demonstrated, and the algorithm is validated by comparing the results with those obtained from the OSS equations method and the cross- check method.

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