This thesis proposes a structural health monitoring technique for flexible civil structures such as cable-stayed bridges and high rise buildings. A complete description of the
technique its implementation on two types of structures is included herein. The
methodology consists of two steps. First, the natural excitation technique and the
eigensystem realization algorithms are used to identify the natural frequencies and mode
shapes of the structure. Then, the least squares solution of the eigenvalue problem is used to determine structural parameters. This methodology can be automated in a way similar to the development of the finite element method. Damage is identified by finding changes in the identified structural parameters over time. The methodology was implemented on three structures. The first structure is the IASC-ASCE SHM benchmark problem. This implementation covers the first two numerical phases and the experimental phase of this problem. The technique is also implemented on a numerical model of the Bill Emerson Memorial Bridge located in Cape Girardeau, Missouri and on a laboratory test specimen representing a cable-stay bridge. These studies demonstrate potential of the methodology for implementation in flexible civil structures.
National Science Foundation under grants CMS 97-33272 (Dr. S.C. Liu, Program Director) and CMS 0245402 (Dr. Steve McCabe, Program Director)
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