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Structural Engineering and Mechanics
  Volume 25, Number 1, January10 2007, pages 39-52

Experimental study on identification of stiffness change in a concrete frame experiencing damage and retrofit
X. T. Zhou, J. M. Ko and Y. Q. Ni

    This paper describes an experimental study on structural health monitoring of a 1:3-scaled one-story concrete frame subjected to seismic damage and retrofit. The structure is tested on a shaking table by exerting successively enhanced earthquake excitations until severe damage, and then retrofitted using fiber-reinforced polymers (FRP). The modal properties of the tested structure at trifling, moderate, severe damage and strengthening stages are measured by subjecting it to a small-amplitude white-noise excitation after each earthquake attack. Making use of the measured global modal frequencies and a validated finite element model of the tested structure, a neural network method is developed to quantitatively identify the stiffness reduction due to damage and the stiffness enhancement due to strengthening. The identification results are compared with
Key Words
    concrete frame; shaking table test; seismic damage; retrofit; structural stiffness identification; neural network.
Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

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