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http://dx.doi.org/10.12989/smm.2017.4.4.365

Comparison of black and gray box models of subspace identification under support excitations  

Datta, Diptojit (Department of Civil Engineering, Indian Institute of Technology Guwahati)
Dutta, Anjan (Department of Civil Engineering, Indian Institute of Technology Guwahati)
Publication Information
Structural Monitoring and Maintenance / v.4, no.4, 2017 , pp. 365-379 More about this Journal
Abstract
This paper presents a comparison of the black-box and the physics based derived gray-box models for subspace identification for structures subjected to support-excitation. The study compares the damage detection capabilities of both these methods for linear time invariant (LTI) systems as well as linear time-varying (LTV) systems by extending the gray-box model for time-varying systems using short-time windows. The numerically simulated IASC-ASCE Phase-I benchmark building has been used to compare the two methods for different damage scenarios. The efficacy of the two methods for the identification of stiffness parameters has been studied in the presence of different levels of sensor noise to simulate on-field conditions. The proposed extension of the gray-box model for LTV systems has been shown to outperform the black-box model in capturing the variation in stiffness parameters for the benchmark building.
Keywords
subspace identification; support-excited structures; time-varying systems; damage-detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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