Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for +publisher:"University of Southern California" +contributor:("Roger G. Ghanem"). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Southern California

1. Yun, Hae-Bum. Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems.

Degree: PhD, Civil Engineering (Structural Mechanics), 2007, University of Southern California

The development of effective structural health monitoring (SHM) methodologies is imperative for the efficient maintenance of important structures in aerospace, mechanical and civil engineering. Based on reliable condition assessment, the owners of monitored structures can expect two important benefits: to avoid catastrophic accidents by detecting various types of structural deterioration during operation, and to establish efficient maintenance means and time schedule to reduce maintenance costs.; A vibration-based SHM methodology is evaluated for change detection in nonlinear systems that can be frequently seen in many engineering fields. The proposed methodology is advantageous over existing SHM methodologies regarding the following aspects: feasible to detect small changes in complex nonlinear systems, possible to make physical interpretation of detected changes, and possible to quantify the uncertainty associated with the change detection.; A series of analytical and experimental studies was performed to investigate various important issues in modeling and monitoring of uncertain nonlinear systems. Different parametric and non-parametric identification methods were compared for monitoring purpose using full-scale nonlinear viscous dampers for seismic mitigation in civil structures. Then, the effects of uncertainty on change detection performance were investigated. Two types of uncertainty were studied: measurement uncertainty and system characteristic uncertainty. For measurement uncertainty, three different types of full-scale nonlinear viscous dampers were used to validate the proposed SHM methodology when the dampers' response was polluted with random noise. For system characteristic uncertainty, a semi-active magneto-rheological damper whose system characteristics were determined through user controllable input current was used. Statistical pattern recognition methods were studied to detect relatively small changes in nonlinear systems with different uncertainty types. The Bootstrap method, a statistical data resampling technique, was also studied to estimate the uncertainty bounds of change detection when the measurement data are insufficient for reliable statistical inference.; A web-based real-time bridge monitoring system was developed and used for a forensic study involving a cargo ship collision with the Vincent Thomas Bridge, a critical suspension bridge in the metropolitan Los Angeles region. Advisors/Committee Members: Sami F. Masri (Committee Chair), Carter Wellford (Committee Member), Jiin-Jen Lee (Committee Member), John P. Caffrey (Committee Member), Roger G. Ghanem (Committee Member).

Subjects/Keywords: structural health monitoring; system identification; Restoring Force Method; artificial neural networks; Hypothesis Test; Bootstrap Method; statistical pattern recognition; support vector machines; k-means clustering; error analysis; detection theory; Natural Excitation Technique; Eigensystem Realization Algorithm; full-scale viscous dampers; magneto-rheological dampers; suspension bridge; web-based real-time bridge monitoring system; ship-bridge collision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yun, H. (2007). Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819

Chicago Manual of Style (16th Edition):

Yun, Hae-Bum. “Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems.” 2007. Doctoral Dissertation, University of Southern California. Accessed January 24, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819.

MLA Handbook (7th Edition):

Yun, Hae-Bum. “Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems.” 2007. Web. 24 Jan 2021.

Vancouver:

Yun H. Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2021 Jan 24]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819.

Council of Science Editors:

Yun H. Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819

.