Application of higher order SVD to vibration-based system identification and damage detection

2012 ◽  
Author(s):  
Shu-Hsien Chao ◽  
Chin-Hsiung Loh ◽  
Jian-Huang Weng
Keyword(s):  
System Identification ◽  
Damage Detection ◽  
Higher Order

Advanced System Identification of Plates Using a Higher-Order-Spectral Approach: Theory and Experiment

2011 ◽  
Author(s):  
Michele Pasquali ◽  
Walter Lacarbonara ◽  
Pier Marzocca
Keyword(s):  
System Identification ◽  
Dynamic Response ◽  
Experimental Testing ◽  
Nonlinear System Identification ◽  
Higher Order ◽  
Detection Mechanism ◽  
Specific Objective ◽  
Structural Nonlinearities ◽  
Identification Technique ◽  
Approach Theory

A nonlinear system identification technique exploiting the dynamic response features of fully nonlinear physics-based plate models extracted by Higher-Order Spectral (HOS) analysis tools is developed. The changes induced by an imperfection in the dynamics through the structural nonlinearities are used as key detection mechanism. The differences in dynamic response of a baseline and a modified/imperfect structure are enhanced by the local nonlinearities induced by the structural modification which thus represent the specific objective of identification. The validation of the procedure and the developed algorithms is carried out through extensive experimental testing employing various plates, including isotropic and composite lay-ups, and excitation sources, including White Gaussian Noise and a train of impulses.

Stochastic system identification and damage detection using firefly algorithm

2014 ◽  
Vol 1 (4) ◽  
pp. 357 ◽  
Author(s):  
Leandro Fleck Fadel Miguel ◽  
Letícia Fleck Fadel Miguel ◽  
Joao Kaminski <suffix>Jr.</suffix>
Keyword(s):  
System Identification ◽  
Damage Detection ◽  
Stochastic System ◽  
Firefly Algorithm

Damage detection based on system identification of concrete dams using an extended finite element–wavelet transform coupled procedure

2017 ◽  
Vol 24 (18) ◽  
pp. 4226-4246 ◽  
Author(s):  
Sajjad Pirboudaghi ◽  
Reza Tarinejad ◽  
Mohammad Taghi Alami
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Wavelet Transform ◽  
System Identification ◽  
Damage Detection ◽  
Cohesive Crack ◽  
Modal Parameters ◽  
Concrete Dams ◽  
Extended Finite Element ◽  
Element Method

The aim of the present study is to propose a procedure for seismic cracking identification of concrete dams using a coupling of the extended finite element method (XFEM) based on cohesive crack segments (XFEM-COH) and continuous wavelet transform (CWT). First, the dam is numerically modeled using the traditional finite element method (FEM). Then, cracking capability is added to the dam structure by applying the XFEM-COH for concrete material. The results of both the methods under the seismic excitation have been compared and identified to damage detection purposes. In spite of predefined damage in some of the structural health monitoring (SHM) techniques, there is an advantage in the XFEM model where the whole dam structure is potentially under damage risk without initial crack, and may not crack at all. Finally, in order to evaluate any change in the system, that is, specification of any probable crack effects and nonlinear behavior, the structural modal parameters and their variation have been investigated using system identification based on the CWT. The results show that the extended finite element–wavelet transform procedure has high ability for the online SHM of concrete dams that by analysis of its results, the history of physical changes, cracking initiation time, and exact damage localization have been performed from comparing the intact (FEM) and damaged (XFEM) modal parameters of the structural response. In addition, any small change in the system is observable while the final crack profile and performance simulation of the dam body under strong seismic excitations have obtained.

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