Estimation of discretization errors using the method of nearby problems

被引:0
|
作者
Roy, Christopher J. [1 ,3 ,4 ]
Raju, Anil [1 ,3 ,4 ]
Hopkins, Matthew M. [2 ,5 ]
机构
[1] Auburn University, Auburn, AL 36849
[2] Sandia National Laboratories, Albuquerque, NM 87185-0834
[3] Aerospace Engineering Department, 211 Aerospace Engineering Building
[4] AIAA
[5] Technical Staff, Multiphase Transport Processes Department, Mail Stop 0834, P.O. Box 5800
来源
AIAA Journal | 2007年 / 45卷 / 06期
关键词
The method of nearby problems is developed as an approach for estimating numerical errors due to insufficient mesh resolution. A key aspect of this approach is the generation of accurate; analytic curve fits to an underlying numerical solution. Accurate fits are demonstrated using fifth-order Hermite splines that provide for solution continuity up to the third derivative; which is recommended for second-order differential equations. This approach relies on the generation of a new problem (and corresponding exact solution) that is nearby the original problem of interest; and the nearness requirements are discussed. The method of nearby problems is demonstrated as an accurate discretization error estimator for steady-state Burgers's equation for a viscous shock wave at Reynolds numbers of 8 and 64. A key advantage of using the method of nearby problems as an error estimator is that it requires only one additional solution on the same mesh; as opposed to multiple mesh solutions required for extrapolation-based error estimators. Furthermore; the present results suggest that the method of nearby problems can produce better error estimates than other methods in the preasymptotic regime. The method of nearby problems is also shown to provide a useful framework for evaluating other discretization error estimators. This framework is demonstrated by the generation of exact solutions to problems nearby Burgers's equation as well as a form of Burgers's equation with a nonlinear viscosity variation;
D O I
暂无
中图分类号
学科分类号
摘要
Journal article (JA)
引用
收藏
页码:1232 / 1243
相关论文
共 50 条
  • [21] CHARACTERIZATION OF NUMERICAL ERROR IN THE SIMULATION OF TRANSLUNAR TRAJECTORIES USING THE METHOD OF NEARBY PROBLEMS
    Jagat, Ashish A.
    Sinclair, Andrew J.
    SPACEFLIGHT MECHANICS 2011, PTS I-III, 2011, 140 : 2511 - +
  • [22] A DISCRETIZATION METHOD FOR A CLASS OF COPOSITIVE PROGRAMMING PROBLEMS
    Guo, Chuanhao
    Ma, Pengfei
    Teo, Kok Lay
    PACIFIC JOURNAL OF OPTIMIZATION, 2024, 20 (03): : 429 - 440
  • [23] Quantum Monte Carlo method for fermions, free of discretization errors
    Rombouts, SMA
    Heyde, K
    Jachowicz, N
    PHYSICAL REVIEW LETTERS, 1999, 82 (21) : 4155 - 4159
  • [25] ERRORS IN THE ESTIMATION OF LACTOSE IN LACTALBUMIN USING THE PHENOL SULFURIC METHOD
    THOMAS, PW
    NEW ZEALAND JOURNAL OF DAIRY SCIENCE AND TECHNOLOGY, 1984, 19 (02): : 177 - 180
  • [26] ERRORS OF THE UNIFORM DISCRETIZATION
    SHARADKIN, AM
    IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 1988, 31 (11): : 81 - 83
  • [27] ReliefF for estimation and discretization of attributes in classification, regression, and ILP problems
    Kononenko, I
    RobnikSikonja, M
    Pompe, U
    ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, 1996, 35 : 31 - 40
  • [28] Adaptive finite element analysis of nonlinear problems: balancing of discretization and iteration errors
    Rannacher, R.
    Vihharev, J.
    JOURNAL OF NUMERICAL MATHEMATICS, 2013, 21 (01) : 23 - 61
  • [29] DISCRETIZATION ERRORS INHERENT IN FINITE-DIFFERENCE SOLUTION OF PROPELLER NOISE PROBLEMS
    TAM, CKW
    AIAA JOURNAL, 1992, 30 (03) : 608 - 615
  • [30] A posteriori control of modeling errors and discretization errors
    Braack, M
    Ern, A
    MULTISCALE MODELING & SIMULATION, 2003, 1 (02): : 221 - 238