Evaluation of effect changing temperature on lamb-wave based structural health monitoring

Esfarjani, Sattar Mohammadi

doi:10.30464/jmee.2019.3.4.329

Cited by 3 publications

(1 citation statement)

References 18 publications

(24 reference statements)

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“…Due to the small size of the primary defects and the impossibility of the visual inspection, nondestructive tests (NDT) are used to detect and identify these defects [1][2][3][4][5]. NDT methods such as; radiography, ultrasonic testing, and penetrant testing are used traditionally for identifying defects, each one having advantages and disadvantages, making it more or less appropriate for a given application [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Fiber Breakage and Matrix Cracking in Polymeric Composites Under Low-Cycle Fatigue Regimes by Fuzzy and Wavelet Clustering of Acoustic Emission Signals

Esfarjani

Azadi

Alizadeh

et al. 2021

Comp Mech Comput Appl Int J

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One of methods for detecting cracks and estimating their growth in materials such as composites is the acoustic emission technique. The detection of damages, cracks and their growth in industrial composite structures, under static and dynamic loads, has a significant importance, in order to prevent any damages and increase the reliability. Therefore, achieving required technical knowledge in this field, can be helpful in repairing and the maintenance of the part in industries. The prediction of the damage in polymeric composites under static loads has been already investigated by researchers; however, under cyclic loadings, researches about this behavior are still rare. In this study, by acoustic emission sensors and analyzing experimental data, the damage, including matrix cracking, the fiber breakage and other damages (debonding, fiber pull-out and delamination) during dynamic loading was investigated. At the first stage, standard specimens were made by the pure resin epoxy and the pure carbon fiber, subjected to monotonic tensile loading and then, the frequency of the failure was extracted. Then, composite specimens were loaded in the low-cycle fatigue regime.Mechanical test results and acoustic emission data were analyzed by fuzzy C-Means and wavelet transform methods and then compared to each other to find the percentage of failures in first, mid-and last cycles by the differentiation of failure types. Results clearly indicated that the acoustic emission approach is useful and an effective tool for identifying and detecting damages in polymeric composites.

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Section: Introductionmentioning

confidence: 99%

Prediction of Fiber Breakage and Matrix Cracking in Polymeric Composites Under Low-Cycle Fatigue Regimes by Fuzzy and Wavelet Clustering of Acoustic Emission Signals

Esfarjani

Azadi

Alizadeh

et al. 2021

Comp Mech Comput Appl Int J

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Temperature Changes Effect on the Inner Product Vector Method and its Application to Structural Health Monitoring of Aircraft Industry

Esfarjani

Salehi

2021

J. Aerosp. Technol. Manag.

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The purpose of the paper is to study the effect of temperature change on the theory of inner product vector (IPV). The IPV method can be used to detect structural damage. This study evaluates the IPV method ability to detect damage of an Airbus A320 slat-track, which is in the form of a longitudinal crack. The results show that the IPV method is able to detect defects in the structure as well as its location, with close approximation. Then, the Airbus A320 slat-track was investigated for the effect of changes in temperature on the IPV method, evaluated over a temperature between -73 and 260 °C. The effect of temperature on the performance of IPV damage detection method has not been investigated so far. The results of the IPV method show a spurious defect in the structure as the temperature changes; therefore, the IPV method is temperature-sensitive. Also, this study highlighted the importance of applying simulation methods to develop vibration-based damage detection (VBDD) techniques, especially for evaluating the effect of changes in environmental temperature when the structure is complex.

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Mechanic-Electric-Thermal Directly Coupling Simulation Method of Lamb Wave under Temperature Effect

Yang

Xue

Zheng

et al. 2022

Sensors

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Lamb Wave (LW)-based structural health monitoring method is promising, but its main obstacle is damage assessment in varying environments. LW simulation based on piezoelectric transducers (referred to as PZTs) is an efficient and low-cost method. This paper proposes a multiphysics simulation method of LW propagation with the PZTs under temperature effect. The effect of temperature on LW propagation is considered from two aspects. On the one hand, temperature affects the material parameters of the structure, the adhesive layers and the PZTs. On the other hand, it is considered that the thermal stress caused by the inconsistency of thermal expansion coefficients among the structure, the adhesive layers, and the PZTs affect the piezoelectric constant of the PZTs. Based on the COMSOL Multiphysics, the mechanic–electric–thermal directly coupling simulation model under temperature effect is established. The simulation model consists of two steps. In the first step, the thermal-mechanic coupling is carried out to calculate the thermal stress, and the thermal stress effect is introduced into the piezoelectric constant model. In the second step, mechanic–electric coupling is carried out to simulate LW propagation, which considers the piezoelectric effect of the PZTs for the LW excitation and reception. The simulation results at −20 °C to 60 °C are obtained and compared to the experiment. The results show that the A0 and S0 mode of simulation signals match well with the experimental measurements. Additionally, the effect of temperature on LW propagation is consistent between simulation and experiment; that is, the amplitude increases, and the phase velocity decreases with the increment of temperature.

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Evaluation of effect changing temperature on lamb-wave based structural health monitoring

Cited by 3 publications

References 18 publications

Prediction of Fiber Breakage and Matrix Cracking in Polymeric Composites Under Low-Cycle Fatigue Regimes by Fuzzy and Wavelet Clustering of Acoustic Emission Signals

Prediction of Fiber Breakage and Matrix Cracking in Polymeric Composites Under Low-Cycle Fatigue Regimes by Fuzzy and Wavelet Clustering of Acoustic Emission Signals

Temperature Changes Effect on the Inner Product Vector Method and its Application to Structural Health Monitoring of Aircraft Industry

Mechanic-Electric-Thermal Directly Coupling Simulation Method of Lamb Wave under Temperature Effect

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