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
Abdullah Al-Hussein
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.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/189
Author (s) Details
Abdullah Al-Hussein
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.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/189
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