Masters Theses

Abstract

"This thesis concerns the design of an algorithm that is capable to detect structural damage in civil infrastructure bridges. The algorithm, which will be dubbed Damage Diagnostics System throughout the thesis, is the software component of a broader Bridge Health Monitoring System. This broader system integrates software and hardware,such as sensors and data acquisition components...The rationale for the Structural Damage Diagnosis is based on the principle of the structural vibration testing. The Health Monitoring System captures the vibration signals, as the bridge responds to excitation from various sources. The purpose of the Diagnostic System is to extract information from the vibration signals concerning the damage condition of the bridge. This system will identify and quantify the damage, by examining the shifts in the vibration signature. This can be performed with a comparison between the actual vibration signal and the vibration behavior of the undamaged bridge"--Introduction, page 1.

Advisor(s)

Dagli, Cihan H., 1949-

Committee Member(s)

Ayoub, Ashraf Salah Eldin
Enke, David Lee, 1965-

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Sponsor(s)

Federal Railway Agency
Greek State Scholarships Foundation, I.K.Y.

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Pagination

xiii, 77 pages

Rights

© 2007 Dionysios N. Danilatos, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Bridges -- Design and construction -- Technological innovations
Bridges -- Vibration
Intelligent agents (Computer software)
Supervised learning (Machine learning)

Thesis Number

T 9367

Print OCLC #

260354205

Electronic OCLC #

227036085

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