scholarly journals On the Nature of Pressure Wave Propagation through Ducts for Structural Health Monitoring Application

2019 ◽  
Vol 9 (5) ◽  
pp. 837
Author(s):  
Zoé Jardon ◽  
Michaël Hinderdael ◽  
Tamas Regert ◽  
Jeroen Van Beeck ◽  
Patrick Guillaume
Keyword(s):  
Structural Health Monitoring ◽  
Shock Waves ◽  
Health Monitoring ◽  
Constant Velocity ◽  
Propagation Speed ◽  
Localization Accuracy ◽  
Localization System ◽  
Structural Health ◽  
Effective Velocity ◽  
Dynamics Simulations

An effective structural health monitoring system fully exploits the flexibility offered by the 3D printing process by integrating a smart structural health monitoring technology inside the 3D-printed components. The system relies on the propagation of pressure waves with constant propagation speed through circular capillaries embedded in the structure. The nature of these waves seems to be determinant for the accuracy of the crack localization system. To achieve a better physical understanding of the nature of the propagating waves through the capillaries, computational fluid dynamics simulations are performed and compared to experimental results obtained with a self-built test setup. The presence of propagating shock waves is observed in the simulations and experiments, as well as a complex reflection mechanism around the leak location. Shock waves show the characteristic of not propagating at a constant velocity. This property complicates the actual localization system. To solve this, the constant velocity assumption should be replaced with the effective velocity evolution to increase the localization accuracy. The amplitude of the shock wave is attenuated with propagating distance, which proves that the effect of friction plays an important role and can, in turn, influence the localization system.

scholarly journals Determination of Detection Probability and Localization Accuracy for a Guided Wave-Based Structural Health Monitoring System on a Composite Structure

2021 ◽  
Vol 2 (4) ◽  
pp. 996-1008
Author(s):  
Ahmed Bayoumi ◽  
Tobias Minten ◽  
Inka Mueller
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Detection Probability ◽  
Guided Wave ◽  
Detection Sensitivity ◽  
Localization Accuracy ◽  
Structural Health ◽  
Damage Location ◽  
Detection And Localization

The capabilities of detection and localization of damage in a structure, using a guided wave-based structural health monitoring (GWSHM) system, depend on the damage location and the chosen sensor array setup. This paper presents a novel approach to assess the reliability of an SHM system enabling to quantify localization accuracy. A two-step technique is developed to combine multiple paths to generate one probability of detection (POD) curve that provides information regarding the detection capability of an SHM system at a defined damage position. Moreover, a new method is presented to analyze localization accuracy. Established probability-based diagnostic imaging using a signal correlation algorithm is used to determine the damage location. The resultant output of the localization accuracy analysis is the smallest damage size at which a defined accuracy level can be reached at a determined location. The proposed methods for determination of detection probability and localization accuracy are applied to a plate-like CFRP structure with an omega stringer with artificial damage of different sizes at different locations. The results show that the location of the damage influences the sensitivity of detection and localization accuracy for the used detection and localization methods. Localization accuracy is enhanced as it becomes closer to the array’s center, but its detection sensitivity deteriorates.

scholarly journals Statistical Analysis of Guided Wave Imaging Algorithms Performance Illustrated by a Simple Structural Health Monitoring Configuration

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Andrii Kulakovskyi ◽  
Olivier Mesnil ◽  
Bastien Chapuis ◽  
Oscar d’Almeida ◽  
Alain Lhémery
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Minimum Variance ◽  
Guided Wave ◽  
Localization Accuracy ◽  
Structural Health ◽  
Defect Interaction ◽  
Wave Imaging ◽  
Imaging Algorithms ◽  
Defect Imaging

Abstract A guided wave-based structural health monitoring (GW-SHM) system aims at determining the integrity of a wide variety of plate-like structures such as aircraft fuselages, pipes, and fuel tanks. It is often based on a sparse grid of piezoelectric transducers for exciting and sensing GWs that under certain conditions interact with damage while propagating. In recent years, various defect imaging algorithms have been proposed for processing GWs signals and, particularly, for computing an image representing the integrity of the studied structure. The performance of the GW-SHM system highly depends on a signal processing methodology. This paper compares defect localization accuracy of the three state-of-art defect imaging algorithms (delay-and-sum, minimum variance, and excitelet) applied to an extensive simulated database of GWs propagation and GWs-defect interaction in aluminum plate under varying temperature and transducers degradation. This study is conducted in order to provide statistical inferences, essential for SHM system performance demonstration.

scholarly journals Wave Propagation and Structural Health Monitoring Application on Parts Fabricated by Additive Manufacturing

Automation ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 173-186
Author(s):  
Alireza Modir ◽  
Ibrahim Tansel
Keyword(s):  
Wave Propagation ◽  
Additive Manufacturing ◽  
Structural Health Monitoring ◽  
Surface Waves ◽  
Health Monitoring ◽  
Propagation Speed ◽  
Pulse Signal ◽  
Structural Health ◽  
Piezoelectric Elements ◽  
Wave Propagation Speed

Additive manufacturing (AM) applications have been steadily increasing in many industry sectors. AM allows creating complex geometries inside of a part to leave some space empty, called infills. Lighter parts are manufactured in a shorter time with less warpage if the strength of the part meets the design requirements. While the benefits of structural health monitoring (SHM) have been proven in different structures, few studies have investigated SHM methods on AM parts. In this study, the relationship between wave propagation and infill density has been studied for the additively manufactured polymer parts. The propagation of surface waves is monitored by using piezoelectric elements. Four rectangular parts are manufactured by using the material extrusion method with 20%, 40%, 60%, and 100% rectilinear infill densities. Four piezoelectric elements were attached on the surface of each beam, one for excitation and three for monitoring the response of the part at equal distances on each part. The results demonstrated that the surface waves diminish faster at parts with lower densities. The received signal in the part with totally solid infills showed about 10 times higher amplitudes compare with the part with 20% infill. The surface response to excitation (SuRE) method was used for sensing the loading on the part. Also, the wave propagation speed was calculated with exciting parts with a pulse signal with a 10-microsecond duration. The wave propagation speed was almost the same for all infill densities.

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