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Paper Information

Journal:   AEROSPACE MECHANICS JOURNAL   SEPTEMBER 2007 , Volume 3 , Number 2; Page(s) 85 To 98.
 
Paper: 

STRUCTURAL DAMAGE DETECTION, USING FUZZY CLASSIFICATION AND ARMA PARAMETRIC MODELING

 
 
Author(s):  ETEFAGH M.M.*, HOMAYOUN SADEGHI M., KHAN MOHAMMADI S.
 
* MECH. ENG. DEPT., UNIVERSITY OF TABRIZ
 
Abstract: 
In this paper, a new method is introduced for recognition, location, and severity of damage in engineering stochastic structures, based on Autoregressive Moving Average (ARMA) parametric model and fuzzy classification. The important aspect of the proposed method is the fuzzy viewpoint on stochastic structural damage diagnosis, which uses estimated ARMA parameters as feature vector. Moreover, the proposed method eliminates the optimization stage in finding membership functions parameters of fuzzy system by substituting the variances of estimated ARMA parameters directly as tuning parameters in membership functions. Another important aspect of the proposed method is the inessentiality to measure the excitation input force applied to the structure. A finite element model of a frame for diagnosing damage, wherein the damage is modeled by different stiffness reduction and location, is considered as a case study. After obtaining satisfactory results from numerical simulations, the proposed method is applied to a simply supported beam as an experimental laboratory structure, where the spring connected to the structure in different locations with different stiffness is considered as the damaged object. The results are considerably satisfactory.
 
Keyword(s): DAMAGE DIAGNOSIS, ARMA MODEL, FUZZY CLASSIFICATION, MONTE CARLO SIMULATION
 
References: 
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