A probabilistic damage detection approach using vibration-based nondestructive testing

2012 ◽  
Vol 38 ◽  
pp. 11-21 ◽  
Author(s):  
Qindan Huang ◽  
Paolo Gardoni ◽  
Stefan Hurlebaus
Keyword(s):  
Nondestructive Testing ◽  
Damage Detection ◽  
Detection Approach

An intelligent structural damage detection approach based on self-powered wireless sensor data

2016 ◽  
Vol 62 ◽  
pp. 24-44 ◽  
Author(s):  
Amir H. Alavi ◽  
Hassene Hasni ◽  
Nizar Lajnef ◽  
Karim Chatti ◽  
Fred Faridazar
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Structural Damage Detection ◽  
Detection Approach ◽  
Self Powered

Damage Detection for Simply Supported Beams Using Mid-Span Displacement Indicator

2010 ◽  
Vol 29-32 ◽  
pp. 1532-1536
Author(s):  
S.J. Zhang ◽  
Z.J. Ma
Keyword(s):  
Damage Detection ◽  
Direct Relationship ◽  
Cost Effective ◽  
Small Region ◽  
The Novel ◽  
New Approach ◽  
Simply Supported ◽  
Detection Approach ◽  
Damaged Beams ◽  
Local Stiffness

This paper investigates the detection of damage for simply supported beams to ensure their safety. Based on the analysis of possible kinds of damage may occur, this paper presents a new approach which relies on the fact that any change in local stiffness caused by damage can be reflected by the change of mid-span displacement between the intact and damaged beams. Direct relationship between the change in local stiffness and the measured mid-span displacement values is developed. This approach can identify the geometric locations of damage and then inspection means are used as a complement to find the real damage phenomena within the obtained small region. A numerical example is given to illustrate the feasibility and the effectiveness of the approach. The novel content offered by authors provides a simple, convenient, cost-effective, and nondestructive damage detection approach for simply supported beams.

A Wavelet-Based Damage Detection Approach for Acousto-Ultrasonic In Situ Monitoring Systems

2011 ◽  
Vol 471-472 ◽  
pp. 809-814 ◽  
Author(s):  
Chin Kian Liew ◽  
Martin Veidt
Keyword(s):  
Damage Detection ◽  
Laminate Plate ◽  
Processing Technique ◽  
Guided Wave ◽  
Signal Processing Technique ◽  
Piezoceramic Actuator ◽  
Time Frequency ◽  
Wave Response ◽  
Detection Approach ◽  
Normalisation Factor

In this research, an advanced signal processing technique using wavelet analysis has been developed for a guided wave structural health monitoring system. The approach was applied for the detection of delamination in carbon fibre reinforced composites. A monolithic piezoceramic actuator was attached to a laminate plate for wave generation while laser vibrometry was used to facilitate the measurements of the wave response in a sensor network. This database of wave response was then processed using the continuous wavelet transform to obtain the positional frequency content. Transforms between damaged and undamaged states were compared to ascertain the presence of defects by evaluating the total energy of the time-frequency density function. Results show high damage detection indices depending on the location of the sensor and normalisation factor applied while there are positive indications that this methodology can be extended for damage characterisation.

A structural damage detection approach using train-bridge interaction analysis and soft computing methods

2014 ◽  
Vol 13 (5) ◽  
pp. 869-890 ◽  
Author(s):  
Xingwen He ◽  
Mitsuo Kawatani ◽  
Toshiro Hayashikawa ◽  
Chul-Woo Kim ◽  
F. Necati Catbas ◽  
...  
Keyword(s):  
Damage Detection ◽  
Soft Computing ◽  
Structural Damage ◽  
Interaction Analysis ◽  
Computing Methods ◽  
Structural Damage Detection ◽  
Detection Approach ◽  
Soft Computing Methods
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