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System Identification and Damage Detection of Nonlinear Structures: Memories at UCIrvine, by Ye Xia
Free Ebook System Identification and Damage Detection of Nonlinear Structures: Memories at UCIrvine, by Ye Xia
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Many civil and mechanical engineering structures exhibit nonlinear hysteretic behavior when subject to dynamic loads. The modeling and identification of non-linear hysteretic systems is a practical but challenging problem encountered in the engineering field. To overcome such a challenge, this book proposes the application of a reduced-order finite element model in conjunction with a recently proposed damage detection technique, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI). The identification process is divided into two steps: 1) static condensation technique is used to reduce the order of the equations of motion of the finite-element model; 2) AQSSE-UI is used for the on-line system identification and damage detection of the reduced order system. The proposed approach is capable of identifying time-varying parameters of linear or nonlinear hysteresis structures. The capability of the proposed damage detection technique is demonstrated by shake table test on three large-scale structures at NCREE, Taiwan.
- Published on: 2012-04-26
- Original language: English
- Number of items: 1
- Dimensions: 8.66" h x .45" w x 5.91" l, .65 pounds
- Binding: Paperback
- 196 pages
About the Author
Dr. Ye Xia is a scholar in system identification and damage detection, which are the subjects he researches in Ph.D. period at University of California, Irvine. He obtained the Bachelor and Master degree of Bridge Engineering from Tongji University, Shanghai, China with special interest on bridge design and structural health monitoring.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Clear, easy, and readable book for system ID
By Haiying
Very interesting book. Nice that the book starts theory of least squares estimation and goes on from there. The followed experiments nicely explained the essence of system identification for linear and non-linear systems. The systematic parametric study in the end could be useful reference for further studies on simple frame structures.
It would be fantastic to show the Matlab programs in the book. But I cannot complain much about it since all the formula are clearly given.
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