Ultrasonic monitoring of corroding bolted joints

Shah, Jay Kumar; Braga, Henrique Bastos Fabrino; Mukherjee, Abhijit; Uy, Brian

doi:10.1016/j.engfailanal.2019.04.016

Cited by 22 publications

(9 citation statements)

References 25 publications

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“…Ultrasonic techniques were initially used to measure the thickness of the material and the size of the defects. There have been a lot of recent advancements, 72,74,77,80 such as point-by-point measurements, time of flight diffraction (TOFD), EMAT, and phased array technology to enhance the resolution and sensitivity of this technique.…”

Section: Corrosion Monitoring and Detectionmentioning

confidence: 99%

Non-destructive techniques for corrosion detection: A review

Vasagar,

Hassan,

Abdullah

et al. 2024

Corrosion Engineering, Science and Technology: The Internationa

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Corrosion detection (CD) has become a high priority in chemical industries, defense and transportation sectors to extend the life of existing or new systems while ensuring the safety of the existing components and reducing downtime to minimise economic losses. Here, this article is aimed to review and discuss non-destructive techniques used widely in the industry to detect, monitor and repair corrosion problems early on. The comprehensive review provides a detailed discussion, a functional mechanism, advantages and disadvantages of crucial non-destructive CD techniques widely used in the industry, helping the reader choose the type of corrosion monitoring methods effectively. An extensive literature review of visual and optical testing techniques, acoustic emissions, eddy current, guided wave and equipment, infrared thermography, radiographic, microwave and millimeter wave, and terahertz imaging is discussed. The underlying mechanism, its merits and limitations, along with the usage scenario, is explained that can be related across different areas making it interdisciplinary research for corrosion monitoring techniques.

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Section: Corrosion Monitoring and Detectionmentioning

confidence: 99%

Non-destructive techniques for corrosion detection: A review

Vasagar,

Hassan,

Abdullah

et al. 2024

Corrosion Engineering, Science and Technology: The Internationa

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“…3 However, bolted joints are also the weak point of mechanical structures in the harsh service environment. This is because the structure is easily exposed to various destructive factors, such as corrosion, 4 vibration, 5 impact, 6 as well as high temperature, stress concentrations, and pressure, 7 which can lead to corrosion, 8 loosening, 9,10 and cracking 11,12 damage at the structural joints that threaten structural safety. To address these structural safety challenges, the development of damage prevention and control mechanisms 13 as well as periodic health monitoring 14 would be effective instruments to guarantee the reliability of the joints.…”

Section: Introductionmentioning

confidence: 99%

A novel damage index integrating piezoelectric impedance and ultrasonic guided wave for damage monitoring of bolted joints

Liao

Sun

Wang

et al. 2023

Structural Health Monitoring

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The structural safety of bolted joints, one of the typical connection techniques utilized in engineering applications, is threatened by the harsh service environment. Herein, a novel damage index (DI) integrating piezoelectric impedance and ultrasonic guided wave is proposed for satisfying the damage monitoring needs of bolted joints. By integrating the two sensing techniques, the shortcomings of a single sensing technique in terms of signal interpretation, stability, and structural adaptability are eliminated. The novel damage severity factor DIZ-V is formed by fusing the damage indices DIZ and DIV weighted by multi-class DIs of the two sensing techniques. Thanks to DIZ-V and a damage mode identification factor presented in this paper, the damage modes and damage severity of early-stage bolt loosening and crack damage are identified. Furthermore, a novel dynamic superposition model (DSM) based on a dynamic-update baseline is developed to address the deficiency that the static baseline method (SBM) has. SBM utilizes the undamaged state signal as the baseline and has the problem of being prone to failure in the later-stage of monitoring. Thus, the phenomenon of nonlinear variation of DIZ-V caused by damage deterioration was avoided via DSM optimization. The feasibility and effectiveness of the proposed method were verified by conducting a series of practical damage identification tests on aluminum bolted joints. And the results demonstrated that the proposed technique could not only identify the severity and mode of damage, but also has excellent reliability. Therefore, the novel damage monitoring technique for bolted joints is a good complement to the existing techniques, which can provide a new strategy for damage monitoring.

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“…The UT system supplies an ultrasonic wave into the rivet; if there is corrosion inside the rivet, the ultrasonic wave will be reflected back and measured. [14][15][16][17] The operating principle is not only much simple than the ECT-based systems but it also suffers from some difficulties such as: 1) the ultrasonic wave could only efficiently propagate in the continuous mediums which require the supplement of coupling liquid (e.g. water) and could not detect the hidden corrosion in the second or third layer of the structure due to the air-gap between the layers, 2) the reflected ultrasonic wave at the rivet area in the multilayer structure is complex with multiple noises from the rivet head, layer surface, hidden corrosion in a layer, layer's air gap, etc.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic testing of rivet in multilayer structure using a convolutional neural network on edge device

et al. 2023

Science Progress

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Rivets are used to assemble layers in the air intakes, fuselages, and wings of an aircraft. After a long time of working under extreme conditions, pitting corrosion could appear in the rivets of the aircraft. The rivets could be broken down and thread the safety of the aircraft. In this paper, we proposed an ultrasonic testing method integrated with convolutional neural network (CNN) for the detection of corrosion in the rivets. The CNN model was designed to be lightweight enough to be able to run on edge devices. The CNN model was trained with a very limited sample of rivets, from 3 to 9 artificial pitting corrosive rivets. The results show that the proposed approach could detect up to 95.2% of pitting corrosion using experimental data with three training rivets. The detection accuracy could be improved to 99% by nine training rivets. The CNN model was implemented and ran on an edge device (Jetson Nano) in real-time with a small latency of 1.65 ms.

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Ultrasonic monitoring of corroding bolted joints

Cited by 22 publications

References 25 publications

Non-destructive techniques for corrosion detection: A review

Non-destructive techniques for corrosion detection: A review

A novel damage index integrating piezoelectric impedance and ultrasonic guided wave for damage monitoring of bolted joints

Ultrasonic testing of rivet in multilayer structure using a convolutional neural network on edge device

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