The momentum interpolation method based on the time-marching algorithm for All-Speed flows

2010 ◽  
Vol 229 (20) ◽  
pp. 7806-7818 ◽  
Author(s):  
Xue-song Li ◽  
Chun-wei Gu
2003 ◽  
Vol 43 (3) ◽  
pp. 267-287 ◽  
Author(s):  
Seok-Ki Choi ◽  
Seong-O Kim ◽  
Chang-Ho Lee ◽  
Hoon-Ki Choi

2011 ◽  
Vol 08 (03) ◽  
pp. 463-481 ◽  
Author(s):  
SHENSHEN CHEN ◽  
QINGHUA LI ◽  
YINGHUA LIU ◽  
JIANGTAO XIA ◽  
ZHIQING XUE

Dynamic elastoplastic analysis is a subject of great engineering importance and can practically be handled only by numerical methods due to its complexity. The aim of this paper is to develop the meshless local natural neighbor interpolation (MLNNI) method to perform the dynamic analysis of elastoplastic structures under plane stress or plane strain conditions. The MLNNI, as an effective truly meshless method for solving partial differential equations, employs local weak forms over a local subdomain and shape functions from the natural neighbor interpolation (NNI). The shape functions so formulated possess delta function property and, therefore, the essential boundary conditions can be implemented as ease as in the finite element method (FEM). The predictor-corrector form of the Newmark algorithm is used for the time-marching process and iterations are performed at every time step. The applied loads can have any transient time variation. Comparative results are presented at the end to illustrate the effectiveness of the proposed method and demonstrate its accuracy.


Author(s):  
Zhengming Wang ◽  
Ruixian Cai ◽  
Hongji Chen ◽  
Dong Zhang

A new numerical method for solving fully three-dimensional inverse shape design problem of turbomachinery blading has been developed. The general inverse problem refers to the problem in which the pressure distributions on suction and pressure surfaces of blade are given, but the corresponding blade profile is unknown. In this paper, the calculations are based on the 3D Navier-Stokes equations expressed in terms of nonorthogonal curvilinear coordinates and corresponding nonorthogonal velocity components, and the explicit time marching algorithm and Baldwin-Lomax turbulence model are adopted. A special treatment for boundary conditions on blade surfaces is employed to satisfy the given pressure distribution. In computational process, an initial blade profile is supposed at starting, and then the blade surfaces will move regularly with time steps in the time marching process until the convergence is reached. The movement velocities at every point of blade surfaces are obtained from the solution of the Navier-Stokes equations. After each revision of the blade profile, the grid is reconstructed, and the aerodynamic parameters need to be transferred between the old and new grid points by an accurate interpolation method. Thus the viscous inverse problem is solved in a new process. The computational results for two test cases indicate that the method presented in this paper is very effective.


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