Hierarchical higher-order dissipative methods for transient analysis

被引:7
|
作者
Govoni, Laura
Mancuso, Massimo
Ubertini, Francesco
机构
[1] Univ Bologna, DISTART, I-40136 Bologna, Italy
[2] Univ Modena, DIMC, I-41100 Modena, Italy
关键词
transient analysis; hierarchical methods; algorithmic dissipation; Norsett approximants; discontinuous collocation; p-adaptivity;
D O I
10.1002/nme.1682
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work focuses on devising an efficient hierarchy of higher-order methods for linear transient analysis, equipped with an effective dissipative action on the spurious high modes of the response. The proposed strategy stems from the Norsett idea and is based on a multi-stage algorithm, designed to hierarchically improve accuracy while retaining the desired dissipative behaviour. Computational efficiency is pursued by requiring that each stage should involve just one set of implicit equations of the size of the problem to be solved (as standard time integration methods) and, in addition, all the stages should share the same coefficient matrix. This target is achieved by rationally formulating the methods based on the discontinuous collocation approach. The resultant procedure is shown to be well suited for adaptive solution strategies. In particular, it embeds two natural tools to effectively control the error propagation. One estimates the local error through the next-stage solution, which is one-order more accurate, the other through the solution discontinuity at the beginning of the current time step, which is permitted by the present formulation. The performance of the procedure and the quality of the two error estimators are experimentally verified on different classes of problems. Some typical numerical tests in transient heat conduction and elasto-dynamics are presented. Copyright (c) 2006 John Wiley & Sons, Ltd.
引用
收藏
页码:1730 / 1767
页数:38
相关论文
共 50 条
  • [21] Revisiting the hierarchical construction of higher-order exceptional points
    Wiersig, Jan
    PHYSICAL REVIEW A, 2022, 106 (06)
  • [22] Higher-Order Functions for Modeling Hierarchical Service Bindings
    Nakaguchi, Takao
    Murakami, Yohei
    Lin, Donghui
    Ishida, Toru
    PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2016), 2016, : 798 - 803
  • [23] Higher-order inverse mass matrices for the explicit transient analysis of heterogeneous solids
    Cimrman, Robert
    Kolman, Radek
    Gonzalez, Jose A.
    Park, K. C.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2024, 125 (11)
  • [24] Higher-Order Intentionality and Higher-Order Acquaintance
    Benj Hellie
    Philosophical Studies, 2007, 134 : 289 - 324
  • [25] ANALYSIS OF COUPLED-CLUSTER METHODS FOR HIGHER-ORDER STATIC PROPERTIES
    PAL, S
    GHOSE, KB
    PHYSICAL REVIEW A, 1992, 45 (03): : 1518 - 1522
  • [26] Theory of the snowflake plot and its relations to higher-order analysis methods
    Czanner, G
    Grün, S
    Iyengar, S
    NEURAL COMPUTATION, 2005, 17 (07) : 1456 - 1479
  • [27] Higher-order intentionality and higher-order acquaintance
    Hellie, Benj
    PHILOSOPHICAL STUDIES, 2007, 134 (03) : 289 - 324
  • [28] Separating higher-order nonlinearities in transient absorption microscopy
    Wilson, Jesse W.
    Anderson, Miguel
    Park, Jong Kang
    Fischer, Martin C.
    Warren, Warren S.
    ULTRAFAST NONLINEAR IMAGING AND SPECTROSCOPY III, 2015, 9584
  • [29] Transient absorption and higher-order nonlinearities in silver nanoplatelets
    Jayabalan, J.
    Singh, Asha
    Chari, Rama
    Khan, Salahuddin
    Srivastava, Himanshu
    Oak, S. M.
    APPLIED PHYSICS LETTERS, 2009, 94 (18)
  • [30] Higher-order MDOF time integration methods
    Rosson, BT
    Keierleber, CW
    COMPUTATIONAL FLUID AND SOLID MECHANICS 2003, VOLS 1 AND 2, PROCEEDINGS, 2003, : 2117 - 2122