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<p>In this study, the design of an FBG geophone to detect the safe threshold of ground seismicity is proposed. The proposed geophone is realised using a cantilever-mass based architecture. Finite element analysis is used to optimize the design parameters and the response of the sensor. An approximate analytical model is derived for validation of sensor response which can also be used for initial estimation of sensor parameters based on target frequency. The sensor performance is evaluated experimentally at different operating frequencies in the range of 0–200&#xa0;Hz. It can be used to measure frequencies upto 200&#xa0;Hz by incorporating post-processing of signals either with frequency-dependent calibration equations or with a normalization function to compensate for the non-uniform frequency response. The resonant frequency achieved is approximately 260&#xa0;Hz. The sensor has a minimum sensitivity of approx. 48&#xa0;pm/g and a maximum of approx. 150&#xa0;pm/g, with an operating range of 0–5&#xa0;g, with a moderately high dynamic range of 57.5&#xa0;dB. A detailed calibration protocol of the sensor has been conducted and performance assessment in real-time is estimated and benchmarked against the commercially available FBG accelerometer from SOMNI Solutions, and found to be satisfactory. Assuming the least count of 3&#xa0;pm available with any standard FBG interrogator, the resolution of this sensor can be estimated as 0.0625&#xa0;g. The proposed sensor shows superior response as compared to other cantilever-based geophones available in the literature so far, considering operating range and sensitivity. The design and fabrication strategy is simple and can be configured to suit different ranges of acceleration and frequencies. This sensor can be used in various applications like monitoring of micro-seismic activities due to the movement of heavy machinery, construction equipment, industrial manufacturing units, ground vibration due to rock fall/slope instability, etc.</p>

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Design of a DC-coupled mid-band cantilever based FBG geophone with a comprehensive performance assessment

  • 期刊论文

  • 发表日期：

    2025年10月30日

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  • Sayantani Lala,
  • Moumita Majumder,
  • Pratik Chakraborty,
  • Dipten Kumar,
  • Somnath Bandyopadhyay,
  • Palas Biswas,
  • Nandini Basumallick

摘要

In this study, the design of an FBG geophone to detect the safe threshold of ground seismicity is proposed. The proposed geophone is realised using a cantilever-mass based architecture. Finite element analysis is used to optimize the design parameters and the response of the sensor. An approximate analytical model is derived for validation of sensor response which can also be used for initial estimation of sensor parameters based on target frequency. The sensor performance is evaluated experimentally at different operating frequencies in the range of 0–200 Hz. It can be used to measure frequencies upto 200 Hz by incorporating post-processing of signals either with frequency-dependent calibration equations or with a normalization function to compensate for the non-uniform frequency response. The resonant frequency achieved is approximately 260 Hz. The sensor has a minimum sensitivity of approx. 48 pm/g and a maximum of approx. 150 pm/g, with an operating range of 0–5 g, with a moderately high dynamic range of 57.5 dB. A detailed calibration protocol of the sensor has been conducted and performance assessment in real-time is estimated and benchmarked against the commercially available FBG accelerometer from SOMNI Solutions, and found to be satisfactory. Assuming the least count of 3 pm available with any standard FBG interrogator, the resolution of this sensor can be estimated as 0.0625 g. The proposed sensor shows superior response as compared to other cantilever-based geophones available in the literature so far, considering operating range and sensitivity. The design and fabrication strategy is simple and can be configured to suit different ranges of acceleration and frequencies. This sensor can be used in various applications like monitoring of micro-seismic activities due to the movement of heavy machinery, construction equipment, industrial manufacturing units, ground vibration due to rock fall/slope instability, etc.