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April 8, 2026MicromachinesOpen Access

Data-Driven Modeling and Response Prediction of Cut-Out Type Piezoelectric Beams

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Authors

MBMingli BianWJWenan JiangQBQinsheng Bi

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Overview

Research reveals data-driven predictions of voltage and displacement in piezoelectric beams, suggesting improved model accuracy.

Key Points

  • The aim is to enhance theoretical model accuracy for cut-out piezoelectric beams influenced by nonlinearity using data-driven methods.
  • Developed a backpropagation neural network model based on experimental data.
  • Collected amplitude-frequency and time-voltage response data for various parameter combinations.
  • Constructed a training sample set for predictions based on frequency and time inputs.
  • The neural network accurately predicts amplitude-frequency response curves of voltage and displacement.
  • It effectively forecasts transient voltage outputs across different load conditions.

Cite This Study

Bian et al. (2026) studied this question.

synapsesocial.com/papers/69d5f00974eaea4b11a797c9https://doi.org/10.3390/mi17040450
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