Significance of Modeling Error on Parameter Estimation
 

Sara Wadia-Fascetti
    Assistant Professor, Northeastern University

Masoud Sanayei
    Associate Professor, Tufts University

Burcu Gunes
    Graduate Student, Northeastern University
 
 

ABSTRACT

In the practical application of parameter estimation, it is difficult to avoid two types of error: measurement noise and modeling error.  Modeling error, the focus of this paper, is due to the inability to create an analytical model that represents the actual structure exactly.  The influence of modeling error is investigated with respect to a small-scale example with an existing parameter estimation method.  Responses of a portal frame are simulated and moments of inertia are estimated for each element.  In general, the topology of the structure, location of excitations and response measurements, and the error function used for parameter estimation can have a small or large influence on the resulting estimated parameters.
 

Contact Information:

Prof. S. Wadia-Fascetti (swf@neu.edu)
Dept. of Civil & Env. Engineering
Northeastern University
Boston, MA  02115

Reference:

Wadia-Fascetti, S., Sanayei, M., and Gunes†, B. (1998) “Significance of Modeling Error on Parameter Estimation.” Proceedings of the 12th ASCE Engineering Mechanics Specialty Conference, San Diego, CA, May 1998. pp.  201-204.
 

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