Mechanical Modeling and Numerical Investigation of Earthquake-Induced Structural Vibration Self-Powered Sensing Device

Bani-Hani, Muath; Almomani, Abdallah; Aljanaideh, Khaled F.; Kouritem, Sallam A.

doi:10.1109/jsen.2022.3204719

Cited by 12 publications

(6 citation statements)

References 46 publications

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“…This is accomplished by having the top and bottom piezoelectric layers in the same direction as indicated in (4). The internal bending moment is derived by integrating the 1st moment of the stress over the cross-sectional area as derived in [64]. The internal moment expression is then used in the partial differential equation of motion given by ( 2) to reach its final form as indicated in (5).…”

Section: Design Configuration and Mathematical Modelmentioning

confidence: 99%

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Genetic Algorithm Optimization of Rainfall Impact Force Piezoelectric Sensing Device, Analytical and Finite Element Investigation

et al. 2023

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In this paper, rainfall droplet impact force is transformed into a measurable voltage signal output via the piezoelectric material direct effect utilized for sensing purposes. The motivating sensor is utilized to measure the peak impact forces of rainfall droplets for further analysis and processing. Constructing a sense for the impact force of rainfall droplets has great implications in many real-life applications that can provide vital information regarding the amplifications of the impact force of rainfall on soil erosion, and the impact on small creatures and plants, etc. The rainfall droplet is set to collide on a very thin aluminum plate with negligible mass that can be presented geometrically as an extended segment of the proposed sensing device. The proposed sensing device is composed of a bimorph simply supported composite-piezoelectric beam that buckles due to the effect of the rain droplets’ vertical impact force. The proposed device is designed for optimal performance in terms of the amount of voltage that can be measured. This is accomplished by having the first critical buckling load of the device as less than the impact force of the rainfall droplet. Accordingly, the well-known genetic algorithm (GA) automated optimization technique is utilized in this paper to enhance the measured voltage signal. A proof mass is added to the middle of the beam to amplify the magnitude of the measured voltage signal. The voltage signal is intended to be transferred to the PC via a data acquisition system. The rainfall droplets’ peak impact forces are obtained analytically due to the nonlinear behavior of the beam using the Euler–Bernoulli thin beams assumptions. The FE model using COMSOL 6.0 Multiphysics commercial software is used to verify the analytical results.

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Section: Design Configuration and Mathematical Modelmentioning

confidence: 99%

“…where YI is the total and equivalent bending stiffness of the composite structure and ϑ is the electrical-mechanical coupling coefficient. Their formulas can be expressed as derived in [64]. δ(x) is the Dirac delta function.…”

Section: Design Configuration and Mathematical Modelmentioning

confidence: 99%

Genetic Algorithm Optimization of Rainfall Impact Force Piezoelectric Sensing Device, Analytical and Finite Element Investigation

et al. 2023

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“…Using the standard modal analysis and the PZT constitutive relation [46], the modal response of the composite beam of the proposed sensing device can be obtained as indicated in ( 3) and ( 4) [47].…”

Section: Analytical Modellingmentioning

confidence: 99%

Detecting Technique of COVID-19 Via an Optimized Piezoelectric Sensor

2023

jjmie

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In the last few years, SARS-CoVID-19 pandemic was the main cause of millions of deaths around the world and was the main reason for global economic recession. It is vital to explore noninvasive procedures to detect and eliminate this pandemic expeditious. In this research, we introduce a technique for detecting and quarantine the SARS-CoVID-19 by designing a piezoelectric device with a natural frequency that is equal to the virus structural natural frequency. Because of the resonance effect, the vibration of the device increases, and the power output produced by the piezoelectric layer in the harvester is used to detect the COVID-19 by powering a small LED. The light of the LED is a sign of infection. Furthermore, when the virus's natural frequency is determined, an ultrasonic resonance device can be used to eliminate the virus. Polymerase chain reaction test (PCR) is costly and time-consuming. Our proposed technique is both fast and inexpensive. The installing of the device, the modeling, and the treatment potentiality are discussed in this paper. To maximize the output power of the device at the virus natural frequency, three optimization algorithms are performed. It is observed that Bound Optimization by Quadratic approximation (BOBYQA) optimization algorithm enhances the output power. The analytical model of the proposed sensing device is derived based on the theory of Euler-Bernoulli. The voltage and power frequency response for open and closed circuits are analytically derived. A Finite Element Method (FEM) for the proposed sensing device is developed and analytically verified.

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“…The introduced solution can manage the lowering of the power between the peaks. Bani-Hani et al (Bani-Hani et al 2022) designed a sensor of 17 harvesters to sense the vibrations resulting from an Earthquake excited in the frequency range (1-17 Hz). Kouritem et al (Kouritem et al 2022b;Kouritem and Altabey 2022;Altabey and Kouritem 2022) utilized the Automatic Resonance Technique for a cantilever of piezoelectric to produce wideband natural frequency.…”

Section: Introductionmentioning

confidence: 99%

Effect of major factors on broadband natural frequency energy harvesting for rectangular and L- shaped cantilever harvesters

2023

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A small amount of natural frequency deviation extremely decreases the output power. So, a multi-mass single harvester (bending harvester) was utilized to enlarge the bandwidth of the natural frequency. We constructed three models to study the effect of increasing the concentrated masses on increasing the bandwidth natural frequency. We used Finite Element Metho (FEM (COMSOL to model and simulate the three models. Moreover, we constructed an L-shaped harvester with concentrated masses to compare the rectangular harvester with concentrated masses. The results prove that increasing the number of concentrated masses increases the output power and broadband natural frequency. Moreover, the results indicate that the harvester cantilever with concentrated masses gives more output power and broadband than the L- shaped harvester for the same volume. Also, our research studied the harvester parameter effects on the output power. This study found that the increase in beam length and mass height increases the output power while the increase in piezoelectric thickness and damping ratio decreases the output power and bandwidth frequency. We validated our proposed model through a comparison with others’ preceding experimental results and it showed a good agreement. The harvester with a high width/length ratio gives a larger wideband natural frequency.

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Mechanical Modeling and Numerical Investigation of Earthquake-Induced Structural Vibration Self-Powered Sensing Device

Cited by 12 publications

References 46 publications

Genetic Algorithm Optimization of Rainfall Impact Force Piezoelectric Sensing Device, Analytical and Finite Element Investigation

Genetic Algorithm Optimization of Rainfall Impact Force Piezoelectric Sensing Device, Analytical and Finite Element Investigation

Detecting Technique of COVID-19 Via an Optimized Piezoelectric Sensor

Effect of major factors on broadband natural frequency energy harvesting for rectangular and L- shaped cantilever harvesters

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