Structure Health Monitoring Method based on Electrio-Mechanical Impedance (EMI) Technique

Ma, Feng; Qin, Lei; Ni, Xiaochang; Zhu, Xiaojun; Huang, Shifeng

doi:10.2991/icmeit-17.2017.23

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Aiming at the fiber optic sensor, Wang et al [ 45 ] monitored the impact load position and energy of the typical structure of a stiffened wing panel, putting forward the relevant idea of embedding the fiber optic sensor in the composite material in the future. Feng et al [ 46 ] tested the PZT sensor under different damage conditions by using a precision impedance tester, and confirmed the feasibility of monitoring the degree of structural damage by the electro-mechanical impedance (EMI) technique. Xue et al [ 47 ] carried out a leading flight test and other research on the installation of optical fiber sensors in an aircraft, and put forward the prospect of the development of optical fiber sensors being more dense, fast and miniaturized.…”

Section: Design Of Structural Health Monitoring Systemmentioning

confidence: 98%

Study on Health Monitoring and Fatigue Life Prediction of Aircraft Structures

Zhang

Wang

et al. 2022

Materials

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In this paper, some progress and achievements in aircraft integrity requirements, structural health monitoring, load spectrum measurement and life assessment research were presented. Several concepts of structural health monitoring were analyzed and compared, and the basic flow chart for health monitoring and life prediction of an aircraft structure was given. The selection of control points, construction of load/strain equations and stress calculation of control points were also described. Reliable IAT (Individual Aircraft Tracking) and life monitoring methods and software for IAT were developed for a certain type of aircraft, and fatigue life prediction of an aging aircraft was conducted based on actual measurement of load spectrum. The main features such as damage calculation, life evaluation and result output were discussed, and the future research focuses relating to intelligent structural health monitoring were finally explored.

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Section: Design Of Structural Health Monitoring Systemmentioning

confidence: 98%

Study on Health Monitoring and Fatigue Life Prediction of Aircraft Structures

Zhang

Wang

et al. 2022

Materials

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“…Additionally, Feng et al [74] discussed a method for monitoring of structures using EMI technique. The researcher was used concrete beam width 150 mm, depth 150 mm and length 500 mm and PZT sensors were bonded to concrete beam at different locations for determination of damage.…”

Section: Recent Literatures On Emi Techniquementioning

confidence: 99%

Review Article on Condition Assessment of Structures Using Electro-Mechanical Impedance Technique

Maurya¹,

Rawat²,

Shanker³

2022

Structural Durability &Amp; Health Monitoring

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Structural health monitoring (SHM) is a process for determination of presence, location, severity of damages and remaining life of the infrastructures. SHM is widely applied in aerospace, mechanical and civil engineering systems to assess the conditions of structures to improve the operation, safety, serviceability and reliability, respectively. There are various SHM techniques for monitoring the health of structures such as global response based and local techniques. Damages occur in the structures due to its inability to withstand intended design loadings, physical environment and chemical environment. Therefore, damage identification is necessary to improve the durability of the structures for protection against catastrophic failure. The research paper is focused on electro-mechanical impedance (EMI) technique which is one of the techniques based on smart materials. The smart materials are utilized for monitoring the health of the structures. These are used for damage determination and its quantification for the interrogated structures. Variation in admittance or impedance signature shows the existence of damage in the structures. Furthermore, the different statistical methods viz., root mean square deviation (RMSD), mean absolute percentage deviation (MAPD), covariance (Cov), and correlation coefficient (CC) are used for the quantification of damage. Smart material such as piezoelectric materials, its properties and applications are also considered. In this paper, the implementation of EMI technique based on different recent advances in smart materials and their appropriateness have been described. Subsequently, the reviewed investigations are significant for the monitoring of real-life infrastructures. The presented paper is the compact state-of-the-art for EMI technique which is used for SHM. This examination will be valuable to infrastructural health monitoring and engineering applications in respect to innovative research directions.

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