Development of a Novel Piezoelectric Sensing System for Pavement Dynamic Load Identification
Abstract
:1. Introduction
2. Methodology
2.1. Principle of the Piezoelectric Transducer
- D—electric displacement vector, C/m2;
- d—piezoelectric strain constant matrix, C/N;
- σ—stress vector, Pa;
- λσ—dielectric constant matrix when the stress is constant, F/m;
- E—external electric field intensity, N/C.
- —electric displacement in direction of i, C/m2;
- —piezoelectric strain constant in direction normal to i,j, C/N;
- —stress component in direction normal to i,j, Pa.
- Az is the area of the PZT patch in the 3-direction (as shown in Figure 1), m2.
2.2. Design of the Sensing System
2.2.1. Design of the Piezoelectric Sensing Unit
2.2.2. The Packaging Design of the Piezoelectric Array
3. Fabrication of Sensing System, Experiment and Simulation
3.1. System Fabrication
3.2. Laboratory Experiments
3.2.1. The Test Arrangement
- —loading period, s;
- —speed of the vehicle, m/s;
- —length of the wheel-pavement contacting area, m;
- —width of the embedded sensing system, m.
3.2.2. Loading Procedures
3.3. Finite-Element Simulation
3.3.1. Linearly Uniform Loading
3.3.2. Sinusoidal Loading Based on the Lab Experiment
3.3.3. Equivalent Wheel Loading at Different Lateral Positions
4. Results and Discussion
4.1. Simulation of Linearly Uniformly Distributed Loading
- —the stress of 1#PZT, which is 0.795 MPa in this situation;
- —the stress of 2#PZT, with a value of 0.864 MPa;
- —the stress of 3#PZT, which is equal to 0.881 MPa;
- —the stress of 4#PZT, of 0.828 MPa in this situation;
- —the top surface area of the PZT patch;
- —the stress of the top surface of the system, as 0.728 MPa;
- —the top surface area of the sensing system.
4.2. Tests and Simulation Results of Sinusoidal Loading
4.2.1. Experimental Results
4.2.2. Frequency Sweep Sinusoidal Loading Experimental Results
4.2.3. Simulation Results of Sinusoidal Loading Finite Element
4.2.4. Comparison Results of the Experiment, Simulation and Theoretical Calculation
4.3. Simulation of Load Location Detecting
- (1)
- Put the output voltage in a vector, p = [ p1, p2, p3, p4];
- (2)
- Sort the output voltage value of the patches in a descending order, with the corresponding number of PZT patch, [psort, loc] = sort (p, ‘descend’);
- (3)
- Calculate the proportion of each value, r = [psort(1)/psort(2), psort(1)/psort(3), psort(1)/psort(4)];
- (4)
- Deduce the location of the load center by the proportion results along with the vector of ‘loc’.
4.4. Comparison with Other Weight-in-Motion (WIM) Systems
5. Conclusions
- (1)
- The sensing system can measure the vertical load from 0.11 to 55.5 kN, with a stable structure and output performance. When the amplitude of the sinusoidal load increases, the total output of the system increases, and the linear correlation coefficient of the measured value is 94.6%. When the loading frequency is between 5–15 Hz, the total output of the system increases with the increase of the loading frequency, and the increasing rate decreases with the growing frequency; when the loading frequency varies from 15 to 19 Hz, the total output of the system fluctuates around a value of 1.305 V.
- (2)
- The sensing system consists of several sensing units. The test shows that the output of each sensing unit decreases as the distance to the loading center increases. The simulation analysis further shows that the load position can be determined effectively according to the comparison of the output of different sensing units, and the location detection resolution is 120 mm. Meanwhile, when the load acts on different lateral positions of the system, the total output of the system changes no more than 6%, which can be corrected effectively according to the location-detection results.
- (3)
- According to the structural design and test results, under the protection of the system package structure, the load on the sensing unit is 4.36% of the overall load of the system, indicating that the system can fully protect sensitive components and avoid premature failure.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Name | Qm | R (ohm) | Kp | Cp (nF) | |
---|---|---|---|---|---|
Average | 180.38 | 19.54 | 0.59 | 3.785 | 369.9 |
Layer | Elastic Modulus/MPa | Poisson’s Ratio | Density/(kg/m3) |
---|---|---|---|
Fiber-reinforced nylon | 5900 | 0.34 | 1290 |
PZT-4 | - | - | 7500 |
Figure | Piezoceramic Sensing System | Piezo-Quartz Sensing System [38] | Piezo-Polymer Cables System [40] | |
---|---|---|---|---|
Sensors | Unit cost ($) | 540 | 6232 | 2077 |
Quantity required per lane | 8 | 4 | 2 | |
Total ($) | 4320 | 24,928 | 4154 | |
Measuring system ($) | 6000 | 4072 | 9346 | |
Installation ($) | 7500 | 12,000 | 6500 | |
Lane closure ($) [40] | 11,000 | 20,000 | 10,000 | |
Total cost ($) | 28,820 | 61,000 | 30,000 |
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Zhao, Q.; Wang, L.; Zhao, K.; Yang, H. Development of a Novel Piezoelectric Sensing System for Pavement Dynamic Load Identification. Sensors 2019, 19, 4668. https://doi.org/10.3390/s19214668
Zhao Q, Wang L, Zhao K, Yang H. Development of a Novel Piezoelectric Sensing System for Pavement Dynamic Load Identification. Sensors. 2019; 19(21):4668. https://doi.org/10.3390/s19214668
Chicago/Turabian StyleZhao, Qian, Linbing Wang, Kang Zhao, and Hailu Yang. 2019. "Development of a Novel Piezoelectric Sensing System for Pavement Dynamic Load Identification" Sensors 19, no. 21: 4668. https://doi.org/10.3390/s19214668