Compressive Sensing Strategies for Multiple Damage Detection and Localization

2016 ◽  
pp. 17-22 ◽  
Author(s):  
S. Golnaz Shahidi ◽  
Nur Sila Gulgec ◽  
Shamim N. Pakzad
Keyword(s):  
Damage Detection ◽  
Compressive Sensing ◽  
Detection And Localization

Compressive Sensing for Structural Damage Detection of Reinforced Concrete Structures

2013 ◽  
Vol 569-570 ◽  
pp. 742-750 ◽  
Author(s):  
Madhuka Jayawardhana ◽  
Xin Qun Zhu ◽  
Ranjith Liyanapathirana ◽  
Upul Gunawardana
Keyword(s):  
Energy Consumption ◽  
Reinforced Concrete ◽  
Damage Detection ◽  
Compressive Sensing ◽  
Data Storage ◽  
Structural Damage ◽  
Structural Response ◽  
High Energy ◽  
Reconstructed Signal ◽  
Detection And Localization

High energy consumption, excessive data storage and transfer requirements are prevailing issues associated with structural health monitoring (SHM) systems, especially with those employing wireless sensors. Data compression is one of the techniques being explored to mitigate the effects of these issues. Compressive sensing (CS) introduces a means of reproducing a signal with a much less number of samples than the Nyquist's rate, reducing the energy consumption, data storage and transfer cost. This paper explores the applicability of CS for SHM, in particular for damage detection and localization. CS is implemented in a simulated environment to compress SHM data. The reconstructed signal is verified for accuracy using structural response data obtained from a series of tests carried out on a reinforced concrete (RC) slab. Results show that the reconstruction was close, but not exact as a consequence of the noise associated with the responses. However, further analysis using the reconstructed signal provided successful damage detection and localization results, showing that although the reconstruction using CS is not exact, it is sufficient to provide the crucial information of the existence and location of damage.

scholarly journals Vibration Based Damage Detection of Rotating Beams

2018 ◽  
Vol 148 ◽  
pp. 14008 ◽  
Author(s):  
Stanislav Stoykov ◽  
Emil Manoach ◽  
Maosen Cao
Keyword(s):  
Damage Detection ◽  
Selection Criteria ◽  
Excitation Frequency ◽  
Real Life ◽  
Equation Of Motion ◽  
Damage Localization ◽  
Rotating Beam ◽  
Free Boundary Conditions ◽  
Wide Range ◽  
Detection And Localization

The early detection and localization of damages is essential for operation, maintenance and cost of the structures. Because the frequency of vibration cannot be controlled in real-life structures, the methods for damage detection should work for wide range of frequencies. In the current work, the equation of motion of rotating beam is derived and presented and the damage is modelled by reduced thickness. Vibration based methods which use Poincaré maps are implemented for damage localization. It is shown that for clamped-free boundary conditions these methods are not always reliable and their success depends on the excitation frequency. The shapes of vibration of damaged and undamaged beams are shown and it is concluded that appropriate selection criteria should be defined for successful detection and localization of damages.

Nonlinear damage detection and localization via an innovative metamaterial-based sensor

2016 ◽  
Vol 139 (4) ◽  
pp. 2013-2013 ◽  
Author(s):  
Marco Miniaci ◽  
Anastasiia Krushynska ◽  
Federico Bosia ◽  
Antonio Gliozzi ◽  
Marco Scalerandi ◽  
...  
Keyword(s):  
Damage Detection ◽  
Detection And Localization

scholarly journals Damage Detection and Localization in Pipeline Using Sparse Estimation of Ultrasonic Guided Waves Signals

2018 ◽  
Vol 51 (24) ◽  
pp. 941-948 ◽  
Author(s):  
Mahjoub El Mountassir ◽  
Gilles Mourot ◽  
Slah Yaacoubi ◽  
Didier Maquin
Keyword(s):  
Damage Detection ◽  
Guided Waves ◽  
Ultrasonic Guided Waves ◽  
Sparse Estimation ◽  
Detection And Localization

Including Vibration Characteristics Within Compressive Sensing Formulations for Structural Monitoring of Beams

2017 ◽  
Author(s):  
Vaahini Ganesan ◽  
Tuhin K. Das ◽  
Jeffrey L. Kauffman ◽  
Nazanin Rahnavard
Keyword(s):  
Boundary Conditions ◽  
Compressive Sensing ◽  
Continuous Monitoring ◽  
Structural Changes ◽  
Vibration Monitoring ◽  
High Data ◽  
Data Volume ◽  
Spatial Domains ◽  
Temporal And Spatial ◽  
Detection And Localization

Vibration-based monitoring of mechanical structures often involves continuous monitoring that result in high data volume and instrumentation with a large array of sensors. Previously, we have shown that Compressive Sensing (CS)-based vibration monitoring can significantly reduce both volume of data and number of sensors in temporal and spatial domains respectively. In this work, further analysis of CS-based detection and localization of structural changes is presented. Incorporating damping and noise handling in the CS algorithm improved its performance for frequency recovery. CS-based reconstruction of deflection shape of beams with fixed boundary conditions is addressed. Formulation of suitable bases with improved conditioning is explored. Restricting hyperbolic terms to lower frequencies in the basis functions improves reconstruction. An alternative is to generate an augmented basis that combines harmonic and hyperbolic terms. Incorporating known boundary conditions into the CS problem is studied.

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