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STRONG MOTION MOLECULAR-ELECTRONIC ACCELEROMETER

Ivan V. Egorov

First published: 2019-06-20https://doi.org/10.5593/sgem2019/1.1/s05.118View metrics

Abstract

During an earthquake, a strong ground motion arises not only in the focus, but it also extends over long distances. Strong motion data have to be used in the Earthquake Early Warning (EEW) for a quick response of rescue services and monitoring of building structures. As the speed of the waves propagation in the ground is sufficiently high (about a few km/s), the warning time must be little, but sufficient to alert the people. Structural and earthquake engineers can use strong motion data to verify or improve design codes. Also, since seismic sensors are becoming more common, it is now possible to correlate the expected damage with instrument readings. Molecular-electronic transfer (MET) accelerometers are increasingly competing with MEMS accelerometers to measure strong motion. Technology allows designing an accelerometer with a wide frequency range (0.05 to 150 Hz) and a maximum recorded signal +- 3g. At the same time, it has a low noise level of 1 ?g at 10 Hz, reaching dynamic range of 130 dB. This work studies the effect of large input signals on the parameters of a MET converter. A mathematical model including nonlinear parts for theoretical studies of the dependence of the output signal was produced. Also, experimental studies were conducted, including comparisons to similar MEMS accelerometers. Comparative data were obtained by several methods: ? on a shake table that can imitate an earthquake ? on a shake table that can produce strong sinusoidal vibration ? by using self-calibration. As a result, the data shown in the experimental part make it possible to use MET accelerometers in many areas where there is a strong motion.

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Publication details

Title
STRONG MOTION MOLECULAR-ELECTRONIC ACCELEROMETER
Authors
Ivan V. Egorov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings19th, Science and Technologies in Geology, Exploration And Mining
Publisher
STEF92 Technology
Year
2019
Pages
959-966
SWS Citekey
Egorov20195959966
ISSN
1314-2704
ISBN
978-619-7408-76-8
Language
en
Publication type
Conference Paper
Keywords
References13
  1. Sun Z. et al., “A MEMS Based Electrochemical Seismometer with Low Cost and Wide Working Bandwidth,” Procedia Eng., vol. 168, pp. 806–809, 2016.

  2. Deng T., Chen D., Chen J., Sun Z., Li G., Wang J., Microelectromechanical Systems-Based Electrochemical Seismic Sensors with Insulating Spacers Integrated Electrodes for Planetary Exploration, IEEE Sens. J., vol. 16, no. 3, pp. 650–653, 2016.

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  4. Zaitsev D. L., Avdyukhina S. Y., Ryzhkov M. A., Evseev I., Egorov E. V., Agafonov V. M., Frequency response and self-noise of the MET hydrophone, J. Sens. Sens. Syst., 7, 443-452, DOI: 10.5194/jsss-7-443-2018, 2018.

  5. Zaitsev D. L., Agafonov V.M., Evseev I.A., Study of Systems Error Compensation Methods Based on Molecular-Electronic Transducers of Motion Parameters, Journal of Sensors, vol. 2018, Article ID 6261384, 9 pages, 2018. DOI: 10.1155/2018/6261384.

  6. Agafonov V.M., Modeling the Convective Noise in an Electrochemical Motion Transducer, Int. J. Electrochem. Sci., vol. 13, p. 11442, 2018.

  7. Agafonov V.M., Egorov E.V., Influence of the electrical field on the vibrating signal conversion in electrochemical (MET) motion sensor, Int. J. Electrochem. Sci., vol. 11, no. 3, pp. 2205–2218, 2016.

  8. Zaitsev D.L., Egorov E.V., Shabalina A.S., High resolution miniature MET sensors for healthcare and sport applications, 2018 12th International Conference on Sensing Technology (ICST), Limerick, 2018, pp. 287-292.DOI: 10.1109/ICSensT.2018.8603579

  9. Zhou Q., Wang C., Chen Y., Chen S., Lin J., Dynamic response analysis of microflow electrochemical sensors with two types of elastic membrane, Sensors (Switzerland), vol. 16, no. 5, 2016.

  10. Wang J., Zhang Z., Li G., Chen D., Chen J., Electrochemical vibration sensor with force balance feedback system, in 2015 IEEE SENSORS - Proceedings, 2015.

  11. Egorov I. V, Shabalina A. S., Agafonov V. M., Design and Self-Noise of MET Closed-Loop Seismic Accelerometers, IEEE Sens. J., vol. 17, no. 7, pp. 2008–2014, 2017.

  12. Agafonov V.M., Egorov E.V., Electrochemical accelerometer with DC response, experimental and theoretical study, J. Electroanal. Chem., vol. 761, 2016.

  13. Agafonov V. M., Egorov E. V., Bugaev A. S., Application of the convective diffusion equation with potential-dependent boundary conditions to the charge transfer problem in four-electrode electrochemical cell on the condition of small hydrodynamic velocity, Int. J. Electrochem. Sci., vol. 11, no. 2, 2016.

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Number of times cited according to Crossref: 3

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