scholarly journals Research on the Progress of Interdigital Transducer (IDT) for Structural Damage Monitoring

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wang Ziping ◽  
Xiong Xiqiang ◽  
Qian Lei ◽  
Wang Jiatao ◽  
Fei Yue ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Damage ◽  
Large Scale ◽  
Safety Information ◽  
Health And Safety ◽  
Guided Wave ◽  
Structural Safety ◽  
Structural Health ◽  
Damage Monitoring

In the application of Structural Health Monitoring (SHM) methods and related technologies, the transducer used for electroacoustic conversion has gradually become a key component of SHM systems because of its unique function of transmitting structural safety information. By comparing and analyzing the health and safety of large-scale structures, the related theories and methods of Structural Health Monitoring (SHM) based on ultrasonic guided waves are studied. The key technologies and research status of the interdigital guided wave transducer arrays which used for structural damage detection are introduced. The application fields of interdigital transducers are summarized. The key technical and scientific problems solved by IDT for Structural Damage Monitoring (SHM) are presented. Finally, the development of IDT technology and this research project are summarised.

Study on New Structural Health Monitoring Sensor of Aircraft

2014 ◽  
Vol 530-531 ◽  
pp. 62-65
Author(s):  
Yu Long Zhang ◽  
Wei Fang Zhang ◽  
Ai Ai Zhang
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Damage ◽  
Preparation Method ◽  
Core Component ◽  
Damage State ◽  
Film Sensor ◽  
Health Monitoring System ◽  
Structural Health ◽  
Damage Monitoring

Sensor is the core component of structural health monitoring system, which can collect the data of structural damage. The structural damage state can be gained after further processing. Aircraft serves in rigorous environment, and existing sensors cant meet the demand of its structural damage monitoring for inherent defect. A preparation method of partial poling piezoelectric film sensor was proposed in the paper, which can be used for structural damage monitoring of aircraft in combination with lamb wave.

scholarly journals An Eddy Current-Based Structural Health Monitoring Technique for Tracking Bolt Cracking

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6843
Author(s):  
Hu Sun ◽  
Tao Wang ◽  
Dawei Lin ◽  
Yishou Wang ◽  
Xinlin Qing
Keyword(s):  
Structural Health Monitoring ◽  
Eddy Current ◽  
Health Monitoring ◽  
Large Scale ◽  
Crack Depth ◽  
Structural Safety ◽  
Induced Voltage ◽  
Coil Array ◽  
Structural Health ◽  
Monitoring Technique

Bolted joints are the primary structures for the load transfer of large-scale structures. It is vital to monitor the process of bolt cracking for enduring structural safety. In this paper, a structural health monitoring technique based on the embedding eddy current sensing film has been proposed to quantify the crack parameters of bolt cracking. Two configurations of the sensing film containing one-dimensional circumferential coil array and two-dimensional coil array are designed and verified to have the ability to identify three crack parameters: the crack angle, the crack depth, and the crack location in the axial direction of the bolt. The finite element method has been employed not only to verify the capacity of the sensing film, but also to investigate the interaction between the crack and the eddy current/magnetic field. It has been demonstrated that as the crack propagates, the variations of the induced voltage of the sensing coils are influenced by both eddy current effect and magnetic flux leakage, which play different roles in the different periods of the crack propagation. Experiments have been performed to verify the effectiveness and feasibility of the sensing film to quantify three crack parameters in the process of the bolt cracking.

Large-Scale Structural Health Monitoring Based on Wireless Sensor Networks

2014 ◽  
Vol 644-650 ◽  
pp. 1317-1323
Author(s):  
A Long Yu ◽  
Wei Wei Yang ◽  
Jing Qiao Dai
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Network Architecture ◽  
Structural Damage ◽  
Large Scale ◽  
Wireless Sensor ◽  
Structural Health

For large-scale structural damage in various forms, a single regional monitoring is difficult to finish. The paper introduces a design method of a large-scale structural health monitoring system based on wireless sensor networks. ZigBee wireless communication technology is used for the system. The ZigBee-based double wireless sensor network architecture is designed. The wireless sensor node, sink node, a gateway node of this system is designed by using the CC2530 chip as core of data processing and wireless transceiver. In the IAR development platform, the lower position machine software is designed by using C language and the LabVIEW is used to finish the remote display in the host computer. The results show that the monitoring system meets the design requirements, has the advantage of good on-line and real-time monitoring etc.

scholarly journals Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 993
Author(s):  
Sergio Cantero-Chinchilla ◽  
Gerardo Aranguren ◽  
José Manuel Royo ◽  
Manuel Chiachío ◽  
Josu Etxaniz ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Pattern Matching ◽  
Health Monitoring ◽  
Structural Damage ◽  
Guided Waves ◽  
Damage Index ◽  
Guided Wave ◽  
Structural Health ◽  
Wave Measurements ◽  
Beamforming Technique

This paper proposes a new damage index named degree of health (DoH) to efficiently tackle structural damage monitoring in real-time. As a key contribution, the proposed index relies on a pattern matching methodology that measures the time-of-flight mismatch of sequential ultrasonic guided-wave measurements using fuzzy logic fundamentals. The ultrasonic signals are generated using the transmission beamforming technique with a phased-array of piezoelectric transducers. The acquisition is carried out by two phased-arrays to compare the influence of pulse-echo and pitch-catch modes in the damage assessment. The proposed monitoring approach is illustrated in a fatigue test of an aluminum sheet with an initial notch. As an additional novelty, the proposed pattern matching methodology uses the data stemming from the transmission beamforming technique for structural health monitoring. The results demonstrate the efficiency and robustness of the proposed framework in providing a qualitative and quantitative assessment for fatigue crack damage.

Structural Health Monitoring Cloud and its Applications for Large-Scale Infrastructures

2013 ◽  
Vol 330 ◽  
pp. 418-425
Author(s):  
Cheng Ming Lan ◽  
Wen Feng Liu
Keyword(s):  
Structural Health Monitoring ◽  
Internet Of Things ◽  
Data Storage ◽  
Health Monitoring ◽  
Large Scale ◽  
Structural Integrity ◽  
Technical Characteristic ◽  
Professional Organization ◽  
Structural Safety ◽  
Structural Health

The concept and framework about Structural Health Monitoring Cloud (SHMC) for data management, data storage, safety warning and structural safety assessment are established in this paper based on the fusions of cloud computing, internet of things (IOT), and structural health monitoring (SHM). SHM plays a significant role in modern infrastructure because it provides a means to assess structural integrity online, eliminate manual inspections and may result in a transition from time-to condition-based maintenance. Also, there are many difficulties to deal with the huge amounts data for the owner of infrastructure. So the new ideas of SHMC which is provided and realized by the third part professional organization are proposed in this paper. Based on the summary of the technical characteristic of internet of things for structural health monitoring, the system requirements, architecture, and advantages of SHMC are described, and then the statues of related technology research were reviewed. The data mining and damage detection programs are embedded in SHMC platform and all collected data from acquisition system would be processed and then be used to assess the safety of infrastructures. Finally, actual applications of SHMC for large-scale infrastructures are illustrated.

scholarly journals Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7067
Author(s):  
Jia-Hao He ◽  
Ding-Peng Liu ◽  
Cheng-Hsien Chung ◽  
Hsin-Haou Huang
Keyword(s):  
Structural Health Monitoring ◽  
Infrared Thermography ◽  
Mode Shape ◽  
Health Monitoring ◽  
Large Scale ◽  
Frame Structure ◽  
Harsh Environments ◽  
Thermal Imager ◽  
Heat Sources ◽  
Structural Health

In this study, infrared thermography is used for vibration-based structural health monitoring (SHM). Heat sources are employed as sensors. An acrylic frame structure was experimentally investigated using the heat sources as structural marker points to record the vibration response. The effectiveness of the infrared thermography measurement system was verified by comparing the results obtained using an infrared thermal imager with those obtained using accelerometers. The average error in natural frequency was between only 0.64% and 3.84%. To guarantee the applicability of the system, this study employed the mode shape curvature method to locate damage on a structure under harsh environments, for instance, in dark, hindered, and hazy conditions. Moreover, we propose the mode shape recombination method (MSRM) to realize large-scale structural measurement. The partial mode shapes of the 3D frame structure are combined using the MSRM to obtain the entire mode shape with a satisfactory model assurance criterion. Experimental results confirmed the feasibility of using heat sources as sensors and indicated that the proposed methods are suitable for overcoming the numerous inherent limitations associated with SHM in harsh or remote environments as well as the limitations associated with the SHM of large-scale structures.

scholarly journals An overview of 38 least squares–based frameworks for structural damage tomography

2019 ◽  
Vol 19 (1) ◽  
pp. 215-239 ◽  
Author(s):  
Danny Smyl ◽  
Sven Bossuyt ◽  
Waqas Ahmad ◽  
Anton Vavilov ◽  
Dong Liu
Keyword(s):  
Structural Health Monitoring ◽  
Least Squares ◽  
Health Monitoring ◽  
Structural Damage ◽  
Tomographic Imaging ◽  
Inverse Methods ◽  
One Dimension ◽  
Distributed Data ◽  
Structural Health ◽  
Static Elasticity

The ability to reliably detect damage and intercept deleterious processes, such as cracking, corrosion, and plasticity are central themes in structural health monitoring. The importance of detecting such processes early on lies in the realization that delays may decrease safety, increase long-term repair/retrofit costs, and degrade the overall user experience of civil infrastructure. Since real structures exist in more than one dimension, the detection of distributed damage processes also generally requires input data from more than one dimension. Often, however, interpretation of distributed data—alone—offers insufficient information. For this reason, engineers and researchers have become interested in stationary inverse methods, for example, utilizing distributed data from stationary or quasi-stationary measurements for tomographic imaging structures. Presently, however, there are barriers in implementing stationary inverse methods at the scale of built civil structures. Of these barriers, a lack of available straightforward inverse algorithms is at the forefront. To address this, we provide 38 least-squares frameworks encompassing single-state, two-state, and joint tomographic imaging of structural damage. These regimes are then applied to two emerging structural health monitoring imaging modalities: Electrical Resistance Tomography and Quasi-Static Elasticity Imaging. The feasibility of the regimes are then demonstrated using simulated and experimental data.

Structural Health Monitoring for Carbon Fiber/Carbon Nanotube (CNT)/Epoxy Composite Sensor

2006 ◽  
Vol 321-323 ◽  
pp. 290-293 ◽  
Author(s):  
Sang Il Lee ◽  
Dong Jin Yoon
Keyword(s):  
Electrical Resistivity ◽  
Carbon Nanotube ◽  
Carbon Fiber ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Epoxy Composite ◽  
Structural Safety ◽  
Structural Health ◽  
Nanotube Composites ◽  
Carbon Fiber Epoxy

Structural health monitoring for carbon nanotube (CNT)/carbon fiber/epoxy composite was verified by the measurement of electrical resistivity. This study has focused on the preparation of carbon nanotube composite sensors and their application for structural health monitoring. The change of the electrical resistance was measured by a digital multimeter under tensile loads. Although a carbon fiber was broken, the electrical connection was still kept by distributed CNT particles in the model composites. As the number of carbon fiber breakages increased, electrical resistivity was stepwise increased. The CNT composites were well responded with fiber damages during the electro-micromechnical test. Carbon nanotube composites can be useful sensors for structural health monitoring to diagnose a structural safety and to prevent a collapse.

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