The complexities and solution strategies in the health assessment of civil infrastructures are briefly discussed. To meet the current needs of locating defect spots and their severity accurately and efficiently, infrastructures are represented by finite elements. To increase the implementation potential, the stiffness parameters of all the elements are tracked using only few noise-contaminated dynamic responses measured at small part of the infrastructures. To extract the required information, Kalman filter concept is integrated with other advanced numerical schemes. An unscented Kalman filter (UKF) concept is developed for highly nonlinear dynamic systems. The basic UKF concept is improved in several ways. Instead of using one long duration time history uased in one global iteration, very short duration time histories and multiple global iterations with weight factors are used to locate the defect spot accurately and efficiently. The capabilities of the procedure are demonstrated with the help of two informative examples. The proposed procedure is much superior to the extended Kalman filter-based procedures developed by the team earlier.
Author (s) Details
Department of Civil Engineering, University of Basrah, Basrah, Iraq.
Professor Achintya Haldar
Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721, USA.
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