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Optimal Sensor Placement Based on Eigenvalues Analysis for Sensing Deformation of Wing Frame Using iFEM.

Yong Zhao1, Jingli Du2, Hong Bao3

  • 1Key Laboratory of Electronic Equipment Structure Design of Ministry of Education, Xidian University, Xi'an 710071, China. henanzy1984@163.com.

Sensors (Basel, Switzerland)
|July 27, 2018
PubMed
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This study introduces an optimal sensor placement strategy using the inverse Finite Element Method (iFEM) for real-time wing deformation monitoring. The method ensures accurate and stable sensing of wing frame structures.

Area of Science:

  • Structural Mechanics
  • Computational Mechanics
  • Aerospace Engineering

Background:

  • Real-time monitoring of wing state is crucial for structural health assessment.
  • Accurate sensing of wing frame deformation is essential for flight safety and performance.
  • Existing methods may lack the precision or stability required for dynamic wing structures.

Purpose of the Study:

  • To develop an optimal sensor placement model for accurate wing frame deformation sensing using the inverse Finite Element Method (iFEM).
  • To enhance the accuracy and stability of iFEM-based deformation monitoring.
  • To validate the proposed sensor placement schemes through simulations and experiments.

Main Methods:

  • Application of the inverse Finite Element Method (iFEM) based on Timoshenko beam theory to describe displacement fields.
Keywords:
Timoshenko beam theorydeformation sensingeigenvalue analysisinverse Finite Element Methodoptimal placement of sensors

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  • Construction of an optimal strain sensor placement model utilizing eigenvalue analysis.
  • Optimization of sensor placement schemes using the Particle Swarm Optimization (PSO) algorithm.
  • Simulation on a cantilever beam and experimental validation on an aluminum alloy wing frame.

    • Main Results:

    • Two distinct optimal sensor placement schemes were identified through PSO algorithm.
    • The iFEM, with the proposed optimal sensor placements, demonstrated accurate sensing of wing frame deformation.
    • Both simulation and static load experiments confirmed the effectiveness of the method.

    Conclusions:

    • The iFEM, coupled with eigenvalue analysis and PSO for optimal sensor placement, provides a robust solution for real-time wing deformation monitoring.
    • The developed method significantly improves the accuracy and stability of structural health monitoring in wing frames.
    • This approach offers a reliable tool for assessing the integrity of aerospace structures.