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Studies Into Vibration-Signature-Based Methods for System
Identification, Damage Detection and Health Monitoring of Civil
Infrastructures
by
Reza Jafarkhani
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements of the Degree
DOCTOR OF PHILOSOPHY
(Civil Engineering)
May 2013
Copyright 2013 Reza Jafarkhani
Object Description
| Title | Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures |
| Author | Jafarkhani, Reza |
| Author email | jafarkha@usc.edu;r_jafarkhani@yahoo.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Civil Engineering (Structural Engineering) |
| School | Viterbi School of Engineering |
| Date defended/completed | 2013-01-18 |
| Date submitted | 2013-04-18 |
| Date approved | 2013-04-18 |
| Restricted until | 2013-04-18 |
| Date published | 2013-04-18 |
| Advisor (committee chair) | Masri, Sami |
| Advisor (committee member) |
Wellford, Carter Johnson, Erik Ghanem, Roger |
| Abstract | Civil infrastructures play a vital role in human societies. Recent catastrophic events due to the deficiency, failure or malfunction of these systems, claiming many lives and resulting in substantial economic loss, have attracted extensive attention focused on reviewing and amending the design and maintenance procedures of civil infrastructures. In addition to the possible failure of structural components, long-term forms of damage due to deterioration or fatigue may also necessitate regular monitoring of civil structures. Therefore, depending on the importance, use and risk, the structure of interest needs to be equipped with inspection, monitoring and maintenance systems. Structural Health Monitoring (SHM) is generally associated with any engineering methodology whose aim is to detect, locate and quantify the damage in the target system. Vibration-based techniques, as the most conventional SHM approaches, acquire and analyze the structural response using a variety of sensors mounted at different locations on the structure. The main goal of the study reported herein is to investigate and evaluate different vibration-signature-based methods for system identification, damage detection and health monitoring of civil structures. Various well-known techniques such as finite element model updating approach and damage detection methods based on artificial neural networks are studied and evaluated. Experimental data from two case studies, a quarter-scale two-span bridge system, tested at the University of Nevada, Reno, and a 1/20 scale 4-story building equipped with smart devices of magneto-rheological (MR) damper, are used for investigation and validation purposes. Guidelines are established for the optimum selection of the dominant control parameters involved in the application of some of the robust SHM approaches for achieving reliable SHM results under realistic conditions. |
| Keyword | structural dynamics; system identification; damage detection; nonlinear systems; finite element model updating; optimization; neural networks |
| Language | English |
| Format (imt) | application/pdf |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Contributing entity | University of Southern California |
| Rights | Jafarkhani, Reza |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Filename | etd-Jafarkhani-1568.pdf |
| Archival file | uscthesesreloadpub_Volume7/etd-Jafarkhani-1568.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Full text | Studies Into Vibration-Signature-Based Methods for System Identification, Damage Detection and Health Monitoring of Civil Infrastructures by Reza Jafarkhani A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements of the Degree DOCTOR OF PHILOSOPHY (Civil Engineering) May 2013 Copyright 2013 Reza Jafarkhani |
