The state estimation problem in experimental structural mechanics

The problem of determining the best estimate of the response or behaviour (equivalently the state) of a dynamic structural system under test is shown to be an optimal smoothing, filtering or prediction problem depending on whether past, present or future values respectively of the state are to be determined. For the filtering problem and for a given random loading and measured random response (including unknown disturbances, errors or noise in the system model and measurements), a best estimate of the state follows from the work of kalman. In the non linear case the 'extended kalman filter' functions by successively linearizing about the best estimate of the state. The identification problem of estimating system model parameters (for example stiffness, damping, etc) may be incorporated within the state estimation problem by suitably augmenting the state vector. State estimation and parameter estimation then proceed simultaneously. Reported tests on the creep of concrete and ground motion effects on a structure are used to illustrate the estimation procedures. Typically the algorithms are recursive and ideally suited to computer usage (a).

Language

  • English

Media Info

  • Pagination: 802-15
  • Serial:
    • Volume: 2

Subject/Index Terms

Filing Info

  • Accession Number: 01438020
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 0909796076
  • Files: ATRI
  • Created Date: Aug 24 2012 9:19PM