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ANALYTICAL AND EXPERIMENTAL METHODS FOR REGIONAL
EARTHQUAKE SPECTRA AND STRUCTURAL HEALTH MONITORING
APPLICATIONS
by
Elena Kallinikidou
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(CIVIL ENGINEERING)
December 2006
Copyright 2006 Elena Kallinikidou
Object Description
| Title | Analytical and experimental methods for regional earthquake spectra and structural health monitoring applications |
| Author | Kallinikidou, Elena |
| Author email | kallinik@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Civil Engineering (Structural Mechanics) |
| School | Viterbi School of Engineering |
| Date defended/completed | 2006-09-15 |
| Date submitted | 2006 |
| Restricted until | Unrestricted |
| Date published | 2006-11-15 |
| Advisor (committee chair) | Masri, Sami F. |
| Advisor (committee member) |
Wellford, L. Carter Anderson, James C. Jordan, Thomas C. |
| Abstract | The Karhunen-Lo`eve (K-L) decomposition approach is the analytical backbone of the two research topics addressed in this thesis. For the first topic, synthetic ground motions from five scenario earthquakes plausible for the Los Angeles geographical region, and one numerical approximation of the 1994 Northridge (Mw 6.7) event form the database of the proposed methodology that is applied for the construction of regional earthquake response spectra. The methodology involves two main stages of data compaction. In the first stage, the K-L decomposition of the excitation temporal covariance matrix is performed. In the second stage, the dominant eigenvectors are analytically approximated with Chebyshev polynomials, thus being converted from eigenvectors to eigenfunctions. This compact analytical representation of the nonstationary excitation data is then used to derive an exact closed-form solution for the nonstationary response of linear MDOF systems. Furthermore, sample regional probabilistic response spectra (relative acceleration, velocity, and displacement) based on the Log-Normal probability model for the response variables are constructed.; For the second research topic, a data-management methodology suitable for the structural health monitoring of the instrumented cable-suspended Vincent Thomas bridge (VTB) located in San Pedro, California is formulated. Ambient data streaming continuously from the sensor array installed on the bridge, and accumulated over a period of a year (2004) form the application database. The data files, where the acceleration time history (ATH) records are being stored, are grouped according to the day of recording: (a) Weekdays, (b) Saturdays, and (c) Sundays. The sensors' spatial acceleration covariance matrix (ACM) is calculated on an hourly basis, and averaging across the day yields the daily ACM. The K-L decomposition of the spatial daily ACM results in the K-L values/vectors. Statistical measures of the K-L parameters (i.e., mean, pdf, cdf, etc.) provide response thresholds that can be employed for an early detection of a possible structural failure due to either fatigue (service loads), or to extreme loading events.; The K-L approach has proven to be a powerful analytical data-compaction and feature-extraction tool for studies that demand the processing of voluminous amount of data. |
| Keyword | structural health monitoring; data management; data compaction; probabilistic response spectra; regional response spectra |
| Language | English |
| 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 |
| Type | texts |
| Legacy record ID | usctheses-m154 |
| Contributing entity | University of Southern California |
| Rights | Kallinikidou, Elena |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Kallinikidou-20061115 |
| Archival file | uscthesesreloadpub_Volume44/etd-Kallinikidou-20061115.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | ANALYTICAL AND EXPERIMENTAL METHODS FOR REGIONAL EARTHQUAKE SPECTRA AND STRUCTURAL HEALTH MONITORING APPLICATIONS by Elena Kallinikidou A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (CIVIL ENGINEERING) December 2006 Copyright 2006 Elena Kallinikidou |
