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Digital image processing for system ...

Chung, Hung-Chi.

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Digital image processing for system identification.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital image processing for system identification./
Author:	Chung, Hung-Chi.
Description:	191 p.
Notes:	Adviser: Masanobu Shinozuka.
Contained By:	Dissertation Abstracts International63-09B.
Subject:	Applied Mechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3065772
ISBN:	0493852360

Digital image processing for system identification.
Chung, Hung-Chi.

Digital image processing for system identification. - 191 p.

Adviser: Masanobu Shinozuka.

Thesis (Ph.D.)--University of Southern California, 2001.

Usefulness of digital image processing techniques demonstrated and further suggests a variety of applications in many disciplines of engineering, science, and medicine. The objectives of this study are to identify and develop the underlying principle that permits nonlinear system identification with the aid of digital images sensed and developed non-intrusively and remotely. In particular, for the purpose of the proof-of-concepts, this study applies the principle to system identification problems that often arise in the field of engineering mechanics. More specifically, the following example problems are solved for demonstration of the efficacy of digital image processing techniques.

ISBN: 0493852360Subjects--Topical Terms:

1018410
Applied Mechanics.

Digital image processing for system identification.
LDR:03715nam 2200313 a 45 001 929477
005 20110427
008 110427s2001 ||||||||||||||||| ||eng d
020 $a 0493852360
035 $a (UnM)AAI3065772
035 $a AAI3065772
040 $a UnM $c UnM
100 1 $a Chung, Hung-Chi. $3 1252965
245 1 0 $a Digital image processing for system identification.
300 $a 191 p.
500 $a Adviser: Masanobu Shinozuka.
500 $a Source: Dissertation Abstracts International, Volume: 63-09, Section: B, page: 4277.
502 $a Thesis (Ph.D.)--University of Southern California, 2001.
520 $a Usefulness of digital image processing techniques demonstrated and further suggests a variety of applications in many disciplines of engineering, science, and medicine. The objectives of this study are to identify and develop the underlying principle that permits nonlinear system identification with the aid of digital images sensed and developed non-intrusively and remotely. In particular, for the purpose of the proof-of-concepts, this study applies the principle to system identification problems that often arise in the field of engineering mechanics. More specifically, the following example problems are solved for demonstration of the efficacy of digital image processing techniques.
520 $a First, a nonlinear oscillating pendulum system with Coulomb damping was studied for identification of friction coefficient. This is one of the most fundamental and yet difficult problems to solve. Intricate micromechanics interpretation of friction phenomena is available in the area of tribology, and highly sophisticated analysis of friction phenomena is performed involving contact problems with the aid of continuum mechanics. These approaches are not immediately useful from the view point of the practice in structural dynamics dealing with friction issues, where Coulomb friction model is widely used for its mathematical expedience and ease of application. This study successfully implemented the digital image processing technique for the identification of values of the friction coefficient on the basis of images of pendulum motion captured by CCD camera. Second, this study demonstrated that the algorithms and procedures can be extended to identify, in near real-time, the friction coefficient and the relative motion between the model structure and shaking table in a shaking table test of a structure base-isolated by a pendulum friction sliding system. Third, a digital still camera was used to observe finite in-plane deformation of a thin nonlinear elastomeric membrane for the purpose of identifying its constitutive relationship. The relationship was postulated to follow the Mooney-Rivlin's stress function model. The digital image processing schemes developed were verified with iterative nonlinear analysis making use of finite element programs that are valid in the finite deformation range.
520 $a These proof-of-concept experiments did indicate significant potential of digital image processing technique to be used for the purpose of system identification in the broad field of engineering mechanics. It is to contribute this experience on discovering smart structures and design of smart systems in future task of civil engineering. This study laid a basic foundation for other applications of digital image technologies in civil engineering in relation to advanced technologies.
590 $a School code: 0208.
650 4 $a Applied Mechanics. $3 1018410
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Civil. $3 783781
690 $a 0346
690 $a 0543
690 $a 0984
710 2 0 $a University of Southern California. $3 700129
773 0 $t Dissertation Abstracts International $g 63-09B.
790 $a 0208
790 1 0 $a Shinozuka, Masanobu, $e advisor
791 $a Ph.D.
792 $a 2001
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3065772