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

Yannan Shi^1,2, Jikun Dai¹

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

Sensors (Basel, Switzerland)

|February 13, 2025

Summary

This summary is machine-generated.

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.

Keywords:

NSGA-II finite element optimized design piezoelectric 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.