System Identification and Damage Detection of Nonlinear Structures

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.

Autorentext

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.