Statistical Damage Detection in a Smart Structure under Different Temperatures via Vibration Testing: A Global Model Based Approach

Statistical damage detection in a structure operating under different temperatures via vibration testing is addressed by means of a stochastic global model based approach. The approach relies upon novel global models of the Functionally Pooled (FP) form, which are capable of describing the dynamics under any temperature, and statistical decision making. In its present form the approach utilizes response (output–only) vibration data, although excitation–response data may be also used. Its effectiveness is confirmed via a large number of experiments performed on a smart composite beam under different temperatures within the [¡20; +20]oC range.

[1]  Spilios D. Fassois,et al.  Vibration–Based Structural Damage Detection and Precise Assessment via Stochastic Functionally Pooled Models , 2007 .

[2]  Hoon Sohn,et al.  Effects of environmental and operational variability on structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[3]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[4]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[5]  Hyun-Man Cho,et al.  Vibration-Based Damage Monitoring in Model Plate-Girder Bridges under Uncertain Temperature Conditions , 2007 .

[6]  Laurent Mevel,et al.  Merging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil Structures , 2008 .

[7]  Hoon Sohn,et al.  An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge , 1999 .

[8]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[9]  Michèle Basseville,et al.  Handling the temperature effect in vibration monitoring of civil structures: A combined subspace-based and nuisance rejection approach , 2006 .

[10]  Spilios D Fassois,et al.  Time-series methods for fault detection and identification in vibrating structures , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[11]  S. D. Fassois,et al.  IDENTIFICATION, MODEL-BASED METHODS , 2001 .

[12]  G. De Roeck,et al.  Vibration based Structural Health Monitoring using output-only measurements under changing environment , 2008 .

[13]  Charles R. Farrar,et al.  Novelty detection in a changing environment: Regression and interpolation approaches , 2002 .

[14]  Spilios D. Fassois,et al.  Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method , 2008 .

[15]  B. Peeters,et al.  Vibration-based damage detection in civil engineering: excitation sources and temperature effects , 2001 .

[16]  Gaëtan Kerschen,et al.  Structural damage diagnosis under varying environmental conditions—Part I: A linear analysis , 2005 .