Implementation of Seismic Sensor to Detect Tank
DOI:
https://doi.org/10.58344/jws.v3i2.557Keywords:
Seismic Sensor, Vibration, Frekuensi, AmplitudoAbstract
This study aims to investigate seismic sensors in detecting ground vibrations caused by tank or military vehicle movements. Ground vibrations generated by tank movements have specific characteristics, where the produced frequency remains constant depending on the tank's weight and the area of the track's footprint. The amplitude of these vibrations provides information about the detection range, wherein the larger the amplitude, the closer the detection range to the tank. The method employed involves field experiments or the collection of quantitative data from field trials. Test results indicate that ground vibrations produced by tanks have an average frequency of 332 Hz, depending on the tank's weight and the area of the track's footprint. The average amplitude is 4.3 volts at a detection range of 1000 meters, 5.1 volts at 500 meters, 7.6 volts at 200 meters, 8.8 volts at 100 meters, and 12.1 volts at 50 meters. The implication of this research is that seismic sensors can be effectively used as tools to detect tank or military vehicle movements at different distances. These findings could be beneficial in the development of security systems or early detection in areas vulnerable to potential threats from tanks or military vehicles.
References
Attia, H., Gaya, S., Alamoudi, A., Alshehri, F. M., Al-Suhaimi, A., Alsulaim, N., Al Naser, A. M., Eddin, M. A. J., Alqahtani, A. M., & Rojas, J. P. (2020). Wireless geophone sensing system for real-time seismic data acquisition. IEEE Access, 8, 81116–81128.
Banerjee, S., Balamurugan, V., & Krishna Kumar, R. (2021). Vibration control of a military vehicle weapon platform under the influence of integrated ride and cornering dynamics. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-Body Dynamics, 235(2), 197–216.
Bellino, A., Garibaldi, L., & Godio, A. (2013). An automatic method for data processing of seismic data in tunneling. Journal of Applied Geophysics, 98, 243–253.
Cheng, F., Liu, J., Qu, N., Mao, M., & Zhou, L. (2014). Two-dimensional pre-stack reverse time imaging based on tunnel space. Journal of Applied Geophysics, 104, 106–113.
Dai, K., Li, X., Lu, C., You, Q., Huang, Z., & Wu, H. F. (2015). A low-cost energy-efficient cableless geophone unit for passive surface wave surveys. Sensors, 15(10), 24698–24715.
Ding, B., Zhao, G., Watchi, J., Sider, A., & Collette, C. (2022). An interferometric inertial sensor for low-frequency seismic isolation. Sensors and Actuators A: Physical, 335, 113398.
Dursun, T., Büyükcivelek, F., & Utlu, Ç. (2017). A review on the gun barrel vibrations and control for a main battle tank. Defence Technology, 13(5), 353–359.
Fu*, Z. (2015). Low frequency improvement with a new designed duo-coil closed-loop geophone accelerometer. In SEG Technical Program Expanded Abstracts 2015 (pp. 297–301). Society of Exploration Geophysicists.
Hou, Y., Jiao, R., & Yu, H. (2021). MEMS based geophones and seismometers. Sensors and Actuators A: Physical, 318, 112498.
Li, S. C., Liu, B., Sun, H. F., Nie, L. C., Zhong, S. H., Su, M. X., Li, X., & Xu, Z. H. (2014). State of art and trends of advanced geological prediction in tunnel construction. Chinese Journal of Rock Mechanics and Engineering, 33(6), 1090–1113.
Rushchitsky, J. J. (2014). Nonlinear elastic waves in materials. Springer.
Tzavaras, J., Buske, S., Groß, K., & Shapiro, S. (2012). Three-dimensional seismic imaging of tunnels. International Journal of Rock Mechanics and Mining Sciences, 49, 12–20.
Wei, W., Fu, L., & Blacquière, G. (2012). Fast multifrequency focal beam analysis for 3D seismic acquisition geometry. Geophysics, 77(2), P11–P21.
Yunzhen, L. I. U. (2014). Comparison and Contrast between TGP206 and TSP203 Advance? Geology Prediction System: Advantages of TGP206. Tunnel Construction, 34(3), 198.
Yurikov, A., Gurevich, B., Tertyshnikov, K., Lebedev, M., Isaenkov, R., Sidenko, E., Yavuz, S., Glubokovskikh, S., Shulakova, V., & Freifeld, B. (2022). Evidence of Nonlinear Seismic Effects in the Earth from Downhole Distributed Acoustic Sensors. Sensors, 22(23), 9382.
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