Damage Localization in Systems with Unknown Inputs

Dionisio Bernal

doi:10.4028/www.scientific.net/KEM.347.107

Paper Titles

Generalized Fourier Coefficients and Applications to Damage Detection in Rods
p.83

A Multi-Algorithm Procedure for Damage Location and Quantification in the Field of Continuous Static Monitoring of Structures
p.89

Damage Localization Using Levenberg-Marquardt Optimization
p.95

Finite Element Model Updating of a Steel–Concrete Composite Moment - Resisting Structure with Partial Strength Joints
p.101

Damage Localization in Systems with Unknown Inputs
p.107

Guided Waves in Steel Rails – Experimental Works and Wavelet Signal Processing
p.115

Experimental Application of a Damage Localisation Technique Based on Smoothed Proper Orthogonal Modes
p.121

Vibration–Based Structural Damage Detection and Precise Assessment via Stochastic Functionally Pooled Models
p.127

On the Applicability of the Ho-Kalman Minimal Realization Theory
p.133

HomeKey Engineering MaterialsKey Engineering Materials Vol. 347Damage Localization in Systems with Unknown Inputs

Damage Localization in Systems with Unknown Inputs

Abstract:

The Dynamic Damage Locating Vector (DDLV) technique localizes damage by interrogating changes in transfer matrices G. It is shown that although G cannot be computed in a stochastic setting a surrogate matrix whose null space is related to that of G can be extracted and this matrix suffices. The paper reviews the theoretical support for the DDLV approach, discusses the constraints used to obtain the surrogate for G, and illustrates the technique using a 12-DOF shear beam monitored with 6 sensors.