• DocumentCode
    2646168
  • Title

    Structural control design: a reliability-based approach

  • Author

    Spencer, B.F., Jr. ; Kaspari, D.C., Jr. ; Sain, M.K.

  • Author_Institution
    Dept. of Civil Eng. & Geological Sci., Notre Dame Univ., IN, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    1062
  • Abstract
    This paper develops probabilistically-based optimal control strategies which focus on increasing the safety and reliability of a seismically excited structure by minimizing the extreme responses of the structure. A performance function is chosen that is directly related to the failure probability for the structure. Optimization is performed over a parameterized class of controllers, subject to a probabilistic constraint on the available control effort. System uncertainty is modelled parametrically and explicitly incorporated into the optimization algorithm. First and second order reliability methods (FORM/SORM) are employed for calculation of the required probabilities. Numerical examples using a single story structure subject to seismic excitation are provided to illustrate the approach. Comparisons are made with extensive Monte Carlo simulation to demonstrate the efficiency and accuracy of the approach.
  • Keywords
    earthquakes; intelligent structures; optimal control; probability; reliability; structural engineering; uncertain systems; Monte Carlo simulation; available control effort; extreme response minimization; failure probability; optimization; performance function; probabilistic constraint; probabilistically-based optimal control strategies; reliability; reliability-based approach; safety; seismically excited structure; structural control design; system uncertainty; Civil engineering; Control design; Control systems; Force control; Geology; Optimal control; Probability distribution; Robust control; Uncertainty; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.751910
  • Filename
    751910