The reliability of the arc-length method in the analysis of mode-jumping problems

Marco Cerini, Brian G Falzon

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    The Arc-Length Method is a solution procedure that enables a generic non-linear problem to pass limit points. Some examples are provided of mode-jumping problems solutions using a commercial finite element package, and other investigations are carried out on a simple structure of which the numerical solution can be compared with an analytical one. It is shown that Are-Length Method is not reliable when bifurcations are present in the primary equilibrium path; also the presence of very sharp snap-backs or special boundary conditions may cause convergence difficulty at limit points. An improvement to the predictor used in the incremental procedure is suggested, together with a reliable criteria for selecting either solution of the quadratic arc-length constraint. The gap that is sometimes observed between the experimantal load level of mode-jumping and its arc-length prediction is explained through an example. © 2003 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
    Original languageEnglish
    Title of host publication44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
    PublisherAerospace Research Council
    Pages1978-1987
    Number of pages10
    ISBN (Electronic)978-162410100-7
    Publication statusPublished - 2003

    Bibliographical note

    44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
    Norfolk, United States
    7 - 10 April 2003

    Keywords

    • Reliability analysis Structural dynamics Arc length method Convergence difficulty Equilibrium path Finite element packages Nonlinear problems Numerical solution Simple structures Solution procedure Carbon dioxide arc welding

    Fingerprint

    Dive into the research topics of 'The reliability of the arc-length method in the analysis of mode-jumping problems'. Together they form a unique fingerprint.

    Cite this