scholarly journals Damage detection strategies for aircraft shell–like structures based on propagation guided elastic waves

2011 ◽  
Vol 305 ◽  
pp. 012055 ◽  
Author(s):  
A Żak ◽  
W Ostachowicz ◽  
M Krawczuk
Keyword(s):  
Damage Detection ◽  
Elastic Waves ◽  
Detection Strategies

Damage detection strategies based on propagation of guided elastic waves

2012 ◽  
Vol 21 (3) ◽  
pp. 035024 ◽  
Author(s):  
A Żak ◽  
M Radzieński ◽  
M Krawczuk ◽  
W Ostachowicz
Keyword(s):  
Damage Detection ◽  
Elastic Waves ◽  
Detection Strategies

scholarly journals The Influence of the Grid Density of Measurement Points on Damage Detection in an Isotropic Plate by the Use of Elastic Waves and Laser Scanning Doppler Vibrometry

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7394
Author(s):  
Łukasz Doliński ◽  
Marek Krawczuk ◽  
Magdalena Palacz ◽  
Wiktor Waszkowiak ◽  
Arkadiusz Żak
Keyword(s):  
Damage Detection ◽  
Elastic Waves ◽  
Laser Scanning ◽  
Diagnostic Methods ◽  
Mode Shapes ◽  
Engineering Practice ◽  
Natural Vibrations ◽  
Spectral Finite Element Method ◽  
The Time Domain ◽  
Spectral Finite Element

Damage detection in structural components, especially in mechanical engineering, is an important element of engineering practice. There are many methods of damage detection, in which changes in various parameters caused by the presence of damage are analysed. Recently, methods based on the analysis of changes in dynamic parameters of structures, that is, frequencies or mode shapes of natural vibrations, as well as changes in propagating elastic waves, have been developed at the highest rate. Diagnostic methods based on the elastic wave propagation phenomenon are becoming more and more popular, therefore it is worth focusing on the improvement of the efficiency of these methods. Hence, a question arises about whether it is possible to shorten the required measurement time without affecting the sensitivity of the diagnostic method used. This paper discusses the results of research carried out by the authors in this regard both numerically and experimentally. The numerical analysis has been carried out by the use of the Time-domain Spectral Finite Element Method (TD-SFEM), whereas the experimental part has been based on the measurement performed by 1-D Laser Doppler Scanning Vibrometery (LDSV).

Damage Size Estimation of the Aircraft Structure with Use of Embedded Sensor Network Generating Elastic Waves

2014 ◽  
Vol 598 ◽  
pp. 57-62 ◽  
Author(s):  
Michal Dziendzikowski ◽  
Krzysztof Dragan ◽  
Artur Kurnyta ◽  
Sylwester Klysz ◽  
Andrzej Leski
Keyword(s):  
Damage Detection ◽  
Elastic Waves ◽  
Guided Waves ◽  
Fatigue Cracks ◽  
Model Description ◽  
Growth Monitoring ◽  
Size Estimation ◽  
Metallic Structures ◽  
Damage Indices ◽  
Signal Characteristics

One of the approach to develop a system of continues, automated monitoring of the health of the structures is to use elastic waves excited in a given medium by piezoelectric transducers network. Elastic waves depending on their source and the geometry of the structure under consideration can propagate over significant distance. They are also sensitive to local structure discontinuities and deformations providing a tool to detect local damage of large aerospace structures. In the paper the issue of fatigue crack growth monitoring by means of elastic guided waves actuated by a sparse array of sensors will be presented. In particular we propose signal characteristics, robust enough to detect different kinds of damages: Barely Visible Impact Damages (BVIDs) in composite materials and fatigue cracks of metallic structures. The model description and the results of specimen tests verifying damage detection capabilities of the proposed signal characteristics are delivered in the paper. Some issues concerning the proposed damage indices and its application to damage detection and its monitoring are also discussed.

Active Detection of Structural Damage in Aluminum Alloy Using Magneto-Elastic Active Sensors (MEAS)

2011 ◽  
Author(s):  
David Conrad ◽  
Andrei Zagrai
Keyword(s):  
Aluminum Alloy ◽  
Damage Detection ◽  
Elastic Waves ◽  
Structural Damage ◽  
Fatigue Cracks ◽  
Plate Thickness ◽  
Detection Methods ◽  
Thin Plates ◽  
Active Sensors ◽  
Host Structure

Many structural damage detection methods utilize piezoelectric sensors. While these sensors are efficient in supporting many structural health monitoring (SHM) methodologies, there are a few key disadvantages limiting their use. The disadvantages include the brittle nature of piezoceramics and their dependence of diagnostic results on the quality of the adhesive used in bonding the sensors. One viable alternative is the utilization of Magneto-Elastic Active Sensors (MEAS). Instead of mechanically creating elastic waves, MEAS induce eddy currents in the host structure which, along with an applied magnetic field, generate mechanical waves via the Lorentz force interaction. Since elastic waves are generated electromagnetically, MEAS do not require direct bonding to the host structure and its elements are not as fragile as PWAS. This work explores the capability of MEAS to detect damage in aluminum alloy. In particular, methodologies of detecting fatigue cracks in thin plates were explored. Specimens consisted of two identical aluminum plates featuring a machined slot to create a stress riser for crack formation. One specimen was subjected to cyclic fatigue load. MEAS were used to transmit elastic waves of different characteristics in order to explore several SHM methodologies. Experiments have shown that the introduction of fatigue cracks created measurable amplitude changes in the waves passing through the fatigued region of the aluminum plate. The phase indicated sensitivity to load conditions, but manifestation in the cracked region lacked stability. Nonlinear effects were studied using plate thickness resonance, which revealed birefringence due to local stresses at the site of the fatigue crack. The resonance spectrum has also shown a frequency decrease apparently due to stiffness loss. Preliminary results suggest opportunities for fatigue damage detection using MEAS. Application of MEAS for the diagnosis of complex structures is currently being investigated.

scholarly journals Application of RMS for damage detection by guided elastic waves

2011 ◽  
Vol 305 ◽  
pp. 012085 ◽  
Author(s):  
M Radzieński ◽  
Ł Doliński ◽  
M Krawczuk ◽  
A Żak ◽  
W Ostachowicz
Keyword(s):  
Damage Detection ◽  
Elastic Waves

scholarly journals FEM-Based Wave Propagation Modelling for SHM: Certain Numerical Issues in 1D Structures

Materials ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2051 ◽  
Author(s):  
Magdalena Palacz ◽  
Arkadiusz Żak ◽  
Marek Krawczuk
Keyword(s):  
Wave Propagation ◽  
Numerical Modelling ◽  
Damage Detection ◽  
Elastic Waves ◽  
Numerical Implementation ◽  
Structural Elements ◽  
Diagnostic Systems ◽  
One Dimensional ◽  
Propagation Of Elastic Waves ◽  
Propagation Modelling

The numerical modelling of structural elements is an important aspect of modern diagnostic systems. However, the process of numerical implementation requires advanced levels of consideration of multiple aspects. Important issues of that process are the positive and negative aspects of the methods applied. Therefore the aim of this article is to familiarise the reader with the most important aspects related to the process of numerical modelling of one-dimensional problems related to the phenomena of the propagation of elastic waves and their application for damage detection purposes.

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