Constrained pseudo-transient continuation

被引:35
|
作者
Ceze, Marco [1 ]
Fidkowski, Krzysztof J. [1 ]
机构
[1] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
关键词
nonlinear solvers; Newton methods; discontinuous Galerkin; aerodynamics; transonic; subsonic; IMPLICIT UPWIND METHODS; EULER EQUATIONS; ALGORITHM; PREDICTION; SOLVERS; FLOWS; GMRES;
D O I
10.1002/nme.4858
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper addresses the problem of finding a stationary point of a nonlinear dynamical system whose state variables are under inequality constraints. Systems of this type often arise from the discretization of PDEs that model physical phenomena (e.g., fluid dynamics) in which the state variables are under realizability constraints (e.g., positive pressure and density). We start from the popular pseudo-transient continuation method and augment it with nonlinear inequality constraints. The constraint handling technique does not help in situations where no steady-state solution exists, for example, because of an under-resolved discretization of PDEs. However, an often overlooked situation is one in which the steady-state solution exists but cannot be reached by the solver, which typically fails because of the violation of constraints, that is, a non-physical state error during state iterations. This is the shortcoming that we address by incorporating physical realizability constraints into the solution path from the initial condition to steady state. Although we focus on the DG method applied to fluid dynamics, our technique relies only on implicit time marching and hence can be extended to other spatial discretizations and other physics problems. We analyze the sensitivity of the method to a range of input parameters and present results for compressible turbulent flows that show that the constrained method is significantly more robust than a standard unconstrained method while on par in terms of cost. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:1683 / 1703
页数:21
相关论文
共 50 条
  • [21] PSEUDO-TRANSIENT SIMULATION OF TURBULENT MIXING IN A RECTANGULAR CHANNEL
    Otic, Ivan
    Chai, Xiang
    Cheng, Xu
    PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING - 2014, VOL 4, 2014,
  • [22] Parallel pseudo-transient Newton-Krylov-Schwarz continuation algorithms for bifurcation analysis of incompressible sudden expansion flows
    Huang, Chiau-Yu
    Hwang, Feng-Nan
    APPLIED NUMERICAL MATHEMATICS, 2010, 60 (07) : 738 - 751
  • [23] Assessing the robustness and scalability of the accelerated pseudo-transient method
    Raess, Ludovic
    Utkin, Ivan
    Duretz, Thibault
    Omlin, Samuel
    Podladchikov, Yuri Y.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2022, 15 (14) : 5757 - 5786
  • [24] Atomistic Pseudo-Transient BTI Simulation With Inherent Workload Memory
    Rodopoulos, Dimitrios
    Weckx, Pieter
    Noltsis, Michail
    Catthoor, Francky
    Soudris, Dimitrios
    IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY, 2014, 14 (02) : 704 - 714
  • [25] A pseudo-transient solution strategy for the analysis of delamination by means of interface elements
    Tenchev, RT
    Falzon, BG
    FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2006, 42 (8-9) : 698 - 708
  • [26] An effective pseudo-transient algorithm for finding DC solutions of nonlinear circuits
    Yu, Hong
    Inoue, Yasuaki
    Matsuya, Yuki
    Huang, Zhangcai
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2006, E89A (10) : 2724 - 2731
  • [27] An effective SPICE3 implementation of the compound element pseudo-transient algorithm
    Yu, Hong
    Inoue, Yasuaki
    Sako, Kazutoshi
    Hu, Xiaochuan
    Huang, Zhangcai
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2007, E90A (10) : 2124 - 2131
  • [28] A second-order pseudo-transient method for steady-state problems
    Luo, Xin-long
    APPLIED MATHEMATICS AND COMPUTATION, 2010, 216 (06) : 1752 - 1762
  • [29] Equation-Oriented Flowsheet Simulation and Optimization Using Pseudo-Transient Models
    Pattison, Richard C.
    Baldea, Michael
    AICHE JOURNAL, 2014, 60 (12) : 4104 - 4123
  • [30] Equation-oriented optimization of methanol distillation systems using pseudo-transient models
    Ma, Xue
    Luo, Yiqing
    Ma, Yingjie
    Yuan, Xigang
    COMPUTERS & CHEMICAL ENGINEERING, 2019, 127 : 218 - 232