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Multi-flexoelectric sensing for beam and rectangular thin plate structures

delete2025-05-24
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PRE
AI
J
Jie Zhang
P
Pengcheng Yu
M
Mu Fan *
Z
Zhongmin Xiao *
DOI:10.1080/15376494.2025.2509258delete
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Abstract

Abstract

En 中文
Flexoelectricity is the coupling between strain gradients and dielectric polarization, a recently discovered electromechanical effect with significant potential for sensing and actuation applications. In this work, multiple flexoelectric sensors are pasted on a rectangular plate to form an array, and a distributed sensing model is established. The output voltages of the sensors are derived using a voltage-source model of the flexoelectric layers. Due to the strain-gradient coupling, the flexoelectric effect is susceptible to bending strains in the structure. Since a thin rectangular plate predominantly exhibits flexural vibration modes, flexoelectric sensors can effectively monitor these modes. The dynamic response equations for a cantilever beam and a four-edge-supported rectangular plate are derived, and the resulting strain in the sensing layers is calculated to obtain the sensing voltage. Because different vibration modes produce distinct mode shapes in the plate, the optimal sensor positions vary with mode. The magnitudes of the sensing signals at various positions are computed, and a neural network model is proposed to predict the combined voltage output of multiple sensors at different locations. This approach enables rapid and accurate identification of the optimal sensor placement to maximize the sensing signal.
Keywords:
Flexoelectric sensing
smart structure
distributed sensing
neural network
sensor optimization

Journal

Mechanics of Advanced Materials and Structures cover
Mechanics of Advanced Materials and Structures
IF:
0
Papers:
4.7K
Citations:
1.4W

Organization

N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W
B
b science and technology development department
Scholars:
1
Papers: 1
Citations: 0
N
Nanjing University of Aeronautics and Astronautics
Scholars:
7.4K
Papers: 3.1K
Citations: 2.4W
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