On-line Structural Damage Detection Using a Piezoelectric Guided Waves System

2012 ◽  
Vol 4 (11) ◽  
pp. 362-370
Author(s):  
Zhao NaizhiYan ShiHe Binbin
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Guided Waves ◽  
Structural Damage Detection ◽  
On Line

Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

2010 ◽  
Vol 14 (6) ◽  
pp. 889-895 ◽  
Author(s):  
Seunghee Park ◽  
Steven R. Anton ◽  
Jeong-Ki Kim ◽  
Daniel J. Inman ◽  
Dong S. Ha
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Guided Waves ◽  
Structural Damage Detection

Temperature Effects on Guided Wave Structural Damage Detection

2008 ◽  
Vol 47-50 ◽  
pp. 129-132 ◽  
Author(s):  
Chan Yik Park ◽  
Seung Moon Jun
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Guided Waves ◽  
Guided Wave ◽  
Low Velocity Impact ◽  
Structural Damage Detection ◽  
Low Velocity ◽  
Simple Method ◽  
Temperature Changes ◽  
Health Monitoring Systems

Guided wave structural damage detection is one of promising candidates for the future aircraft structural health monitoring systems. There are several advantages of guided wave based damage detection: well established theoretical studies, simple sensor devices, large sensing areas, good sensitivity, etc. However, guided wave approaches are still vulnerable to false warnings of detecting damage due to temperature changes of the structures. Therefore, one of main challenges is to find an effective way of compensating temperature changes and to imply it to existing damage detect algorithms. In this paper, a simple method for applying guided waves to the problem of detecting damage in the presence of temperature changes is presented. In order to examine the effectiveness of the presented method, delaminations due to low-velocity impact on composite plate specimens are detected. The results show that the presented approach is simple but useful for detecting structural damage under the temperature variations.

scholarly journals Erratum to: Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

2010 ◽  
Vol 15 (1) ◽  
pp. 215-215 ◽  
Author(s):  
Seunghee Park ◽  
Steven R. Anton ◽  
Jeong-Ki Kim ◽  
Daniel J. Inman ◽  
Dong S. Ha
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Guided Waves ◽  
Structural Damage Detection

Structural Damage Detection Based on Autoregressive Spectra Analysis of Time Series

2012 ◽  
Author(s):  
Ming-Hui Hu ◽  
Er-Ding Cong ◽  
Shan-Tung Tu ◽  
Fu-Zhen Xuan ◽  
Shao-Ping Zhou ◽  
...  
Keyword(s):  
Damage Detection ◽  
Autocorrelation Function ◽  
Structural Damage ◽  
Structural Damage Detection ◽  
Spectra Analysis ◽  
Power Spectral ◽  
Strain Data ◽  
On Line ◽  
Spectral Analysis Method ◽  
Analysis Of Time Series

In this paper, an autoregressive spectral analysis method is proposed for on-line structural damage detection. Firstly, the monitoring strain data are modeled as ARMA models. The power spectral density (PSD) value is directly determining by center-autocorrelation function and statistical autocorrelation function. Structural damage detection is conducted by comparing the values of PSD of the inspected structure. Two experimental applications to the detection of damage in industrial piping structure demonstrate the potential and effectiveness of the new damage detection technique.

An On-line Integration Technique for Structural Damage Detection and Active Optimal Vibration Control

2014 ◽  
Vol 14 (05) ◽  
pp. 1440003 ◽  
Author(s):  
Ying Lei ◽  
Huan Zhou ◽  
Li Jun Liu
Keyword(s):  
Damage Detection ◽  
Vibration Control ◽  
Structural Damage ◽  
Structural Control ◽  
Model Updating ◽  
Structural Parameter ◽  
Structural Damage Detection ◽  
Active Structural Control ◽  
On Line ◽  
Optimal Control Scheme

Structural damage detection and vibration control have been actively studied in the past decades. However, in most previous investigations, these two aspects have been treated separately according to their individual primary objectives pursued. Although structural identification and model updating have been used in the adaptive control techniques, it is still necessary but challenging to study the on-line integration of structural damage detection and optimal vibration control. In this paper, a technique is proposed for such purpose. First, on-line structural parameter identification and on-line detection of the onset, locations and extents of structural damage of controlled structures with partial measurements of structural acceleration responses is studied. An algorithm is proposed based on the extended Kalman estimator/Kalman estimator and error tracking. Then, the updated structural models are on-line integrated with the instantaneous optimal control scheme to reach the goal of optimal active structural control of the undamaged/damaged structures. Numerical simulation results with different structural damage patterns illustrate the performances of the proposed technique for the on-line integration of structural damage detection and active optimal vibration control.

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