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Abstract: This study
focuses on detection of physically simulated damage on the Dowling Hall footbridge. A
continuous monitoring system has been installed on this footbridge located at Medford
campus of Tufts University. The system is equipped with accelerometers and (dynamic)
strain gauges that can measure ambient response of the bridge. Damage was simulated on
the bridge by loading concrete ... read moreblocks on segments of the bridge deck. The location and
extent of damage (added mass) were estimated using a finite element (FE) model updating
method. Modal parameters, such as natural frequencies and mode shapes, were extracted
from measured ambient vibration data before and after the addition of mass and used in
the FE model updating. Performance of the proposed damage identification method is
evaluated using numerically simulated and experimentally measured data. Effects of input
factors such as number, locations and types of sensors on the accuracy of damage
identification results are investigated.
Thesis
(M.S.)--Tufts University, 2013.
Submitted to the
Dept. of Civil Engineering.
Advisor: Babak
Moaveni.
Committee: Masoud Sanayei, and Jason
Rife.
Keyword: Civil
engineering.read less
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