scholarly journals Analysis of Piezoelectric Diaphragms in Impedance-Based Damage Detection in Large Structures

Proceedings ◽  
2017 ◽  
Vol 2 (3) ◽  
pp. 131 ◽  
Author(s):  
Danilo Budoya ◽  
Bruno de Castro ◽  
Leandro Campeiro ◽  
Ricardo da Silveira ◽  
Everaldo de Freitas ◽  
...  
Keyword(s):  
Damage Detection ◽  
Large Structures

Ultrasonic/Guided Waves for Structural Health Monitoring

2005 ◽  
Vol 293-294 ◽  
pp. 49-62 ◽  
Author(s):  
W.J. Staszewski
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Guided Waves ◽  
Ultrasonic Waves ◽  
Detection Methods ◽  
Smart Sensor ◽  
Large Structures ◽  
Guided Ultrasonic Waves ◽  
Damage Monitoring ◽  
Recent Developments

Structural damage detection and monitoring is one of the major maintenance activities in transportation, processing and civil engineering. Current procedures are based on scheduled inspections which are often time/labour consuming and expensive. Guided ultrasonic waves offer the ability of inspecting large structures with a small number of transducers. Recent developments in smart sensor technologies allow for integration of these transducers with monitored structures. This is associated with a new design philosophy leading to more efficient and economically attractive structures. The paper briefly discusses various damage detection methods based on structural, ultrasonic and guided ultrasonic waves. The focus is on recent research advances in damage monitoring techniques, smart sensor technologies and signal processing.

Structural Health Monitoring (SHM) of Offshore Jacket Platforms

2011 ◽  
Author(s):  
Mohammad Ali Lotfollahi-Yaghin ◽  
Sajad Shahverdi ◽  
Reza Tarinejad ◽  
Behrouz Asgarian
Keyword(s):  
Structural Health Monitoring ◽  
Damage Detection ◽  
Health Monitoring ◽  
Damage Assessment ◽  
Structural Damage ◽  
Wavelet Packet ◽  
Structural Health ◽  
Finite Element Software ◽  
Modal Properties ◽  
Large Structures

In the present paper, Structural health monitoring has become an evolving area of research in last few decades with increasing need of online monitoring the health of large structures. The damage detection by visual inspection of the structure can prove impractical, expensive and ineffective in case of large structures like offshore platforms, multistoried buildings and bridges. Structural health monitoring is defined as the process of detecting damage in a structural system. Damage in the system causes a change in dynamic properties of a system. The structural damage is typically a local phenomenon, which tends to be captured by higher frequency signals. Most of vibration-based damage detection methods require the modal properties that are obtained from measured signals through the system identification techniques. However, the modal properties such as natural frequencies and mode shapes are not such a good sensitive indication of structural damage. Structural damage detection and damage localization of jacket platforms, based on wavelet packet transforms is presented in this paper. Dynamic signals measured from the structure by the finite element software package ANSYS are first decomposed into wavelet packet components. Component energies are then calculated and used for damage assessment. The results show that the WPT-based component energies are good candidate indices that are sensitive to structural damage. These component energies can be used for damage assessment including identifying damage occurrence and location.

scholarly journals Damage Detection and Localization from Dense Network of Strain Sensors

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Simon Laflamme ◽  
Liang Cao ◽  
Eleni Chatzi ◽  
Filippo Ubertini
Keyword(s):  
Damage Detection ◽  
Damage Identification ◽  
Low Cost ◽  
Strain Sensors ◽  
Dense Network ◽  
Virtual Sensors ◽  
Large Structures ◽  
Complex Engineering ◽  
Detection And Localization

Structural health monitoring of large systems is a complex engineering task due to important practical issues. When dealing with large structures, damage diagnosis, localization, and prognosis necessitate a large number of sensors, which is a nontrivial task due to the lack of scalability of traditional sensing technologies. In order to address this challenge, the authors have recently proposed a novel sensing solution consisting of a low-cost soft elastomeric capacitor that transduces surface strains into measurable changes in capacitance. This paper demonstrates the potential of this technology for damage detection, localization, and prognosis when utilized in dense network configurations over large surfaces. A wind turbine blade is adopted as a case study, and numerical simulations demonstrate the effectiveness of a data-driven algorithm relying on distributed strain data in evidencing the presence and location of damage, and sequentially ranking its severity. Numerical results further show that the soft elastomeric capacitor may outperform traditional strain sensors in damage identification as it provides additive strain measurements without any preferential direction. Finally, simulation with reconstruction of measurements from missing or malfunctioning sensors using the concepts of virtual sensors and Kriging demonstrates the robustness of the proposed condition assessment methodology for sparser or malfunctioning grids.

Application of Vision Based Damage Detection for Real Civil Engineering Structure

2013 ◽  
Vol 588 ◽  
pp. 22-32 ◽  
Author(s):  
Piotr Kohut ◽  
Krzysztof Holak ◽  
Tadeusz Uhl ◽  
Jędrzej Mączak ◽  
Przemysław Szulim
Keyword(s):  
Global Change ◽  
Damage Detection ◽  
Health Monitoring ◽  
Data Transmission ◽  
Dynamic Properties ◽  
Detection Methods ◽  
Static Deflection ◽  
Deflection Curve ◽  
Large Structures ◽  
Detection And Localization

Structural Health Monitoring (SHM) is an emerging field of technology that involves the integration of sensors, data transmission, processing and analysis for detection, as well as localization and assessment of damage which can lead to its failure in the future [1,. In general, SHM methods can be divided into two groups: local and global ones. The second group can be applied if a global change in the geometry of a structure can be observed. In practice, the most commonly used methods of damage detection are based on the analysis of variations in various dynamic properties caused by damage [3,. However, the excitation of large structures can be costly and difficult. The acquisition of static deflection requires much less effort, which makes the damage detection methods based on changes in deflection curves more attractive for practical use [5-1. Damage detection and localization methods require a densely sampled deflection curve.

Triple Correlation Technique for Damage Detection in Composite Materials

2013 ◽  
Vol 588 ◽  
pp. 310-317
Author(s):  
Marcin Strączkiewicz ◽  
Andrzej Klepka ◽  
Wieslaw Jerzy Staszewski ◽  
Francesco Aymerich
Keyword(s):  
Damage Detection ◽  
Composite Structures ◽  
Impact Damage ◽  
Correlation Technique ◽  
Highly Qualified ◽  
Destructive Testing ◽  
New Developments ◽  
Triple Correlation ◽  
Large Structures ◽  
Non Destructive

Over the last few decades a number of different techniques have been developed for impact damage detection in composite structures. The most frequently used methods in Non-Destructive Testing (NDT) are: ultrasonic testing, acoustics emission, X-ray and visual inspection. These methods are quite effective but often require expensive equipment, a large number of transducers or highly qualified staff. Additionally, these techniques are used locally. Therefore monitoring of large structures in many cases is very difficult or even impossible. Recent years have seen many new developments mostly free from these limitations. This paper investigates the triple correlation technique for impact damage detection in composite structures. The method correlates fundamental and higher harmonics of signal vibration response

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