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Optimized Design of a Triangular Shear Piezoelectric Sensor Using Non-Dominated Sorting Genetic

Yannan Shi1,2, Jikun Dai1

  • 1School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China.

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Summary

This study introduces a novel piezoelectric sensor for monitoring geotechnical deformation in mining areas. Optimized structural parameters significantly increased its resonant frequency and voltage, validating its practical application.

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NSGA-IIfinite elementoptimized designpiezoelectric sensors

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Area of Science:

  • Geotechnical Engineering
  • Sensor Technology
  • Materials Science

Background:

  • Geotechnical bodies in mining airspace require continuous deformation monitoring.
  • Existing sensors may have limitations in accuracy and sensitivity for these specific environments.

Purpose of the Study:

  • To design and optimize a new piezoelectric sensor with a triangular shear structure for geotechnical deformation monitoring.
  • To enhance sensor performance in terms of resonant frequency and voltage.

Main Methods:

  • Development of a 3D sensor model for finite element analysis and experimental validation.
  • Optimization of structural parameters using the NSGA-II genetic algorithm.
  • Selection of optimal parameters via a minimizing difference method.

Main Results:

  • The optimized sensor design achieved a 4.14% increase in resonant frequency.
  • A 9.11% increase in voltage output was recorded for the optimized sensor.
  • Experimental verification confirmed the effectiveness and feasibility of the fabricated prototype.

Conclusions:

  • The newly designed piezoelectric sensor demonstrates significant potential for effective geotechnical deformation monitoring in mining airspace.
  • The optimization methodology provides a robust approach for enhancing sensor performance.
  • This sensor offers a promising solution for improving safety and operational efficiency in mining environments.