• DocumentCode
    951826
  • Title

    Variability analysis of composite materials for stress relief in cable accessories

  • Author

    De Vivo, Biagio ; Spagnuolo, Giovanni ; Vitelli, Massimo

  • Author_Institution
    Dipt. di Ingegneria dell´´Informazione ed Ingegneria Elettrica, Univ. di Salerno, Fisciano, Italy
  • Volume
    40
  • Issue
    2
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    418
  • Lastpage
    425
  • Abstract
    This paper introduces an evolutionary approach to the variability analysis of nonlinear systems. The algorithm shows some advantages with respect to classical stochastic approaches and, in particular, with respect to Monte Carlo-based methods. First, it allows a significant reduction of the underestimation error that affects any nondeterministic approach; in other words, it guarantees a considerable saving of simulation time. Moreover, the technique ensures a higher reliability in pursuing the true range of variation of the system performance of interest. The method has been applied to a practical problem of great interest: the variability analysis of a stress control tube made of a composite material used for electric stress relief in cable accessories. The cable termination has been modeled by means of a lumped nonlinear circuit. The proposed technique also provides reliable results whenever large parameter variations need to be taken into account and/or nonlinear functions of varying parameters are considered. Simulation results prove it to be of great support for the designer in cable termination dimensioning and in composite material selection.
  • Keywords
    Monte Carlo methods; cable jointing; composite materials; electric connectors; nonlinear systems; reliability; stress control; Monte Carlo; cable accessories; cable termination; classical stochastic approaches; composite material selection; electric stress relief; evolutionary approach; lumped nonlinear circuit; nonlinear systems; reliability; simulation time; stress control tube; system performance; underestimation error; variability analysis; Composite materials; Design automation; Nonlinear systems; Power cables; Stochastic processes; Stochastic systems; Stress; System analysis and design; System performance; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2004.824114
  • Filename
    1284441