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Sensor Placement Optimization for Shape Sensing of Plates and Shells Using Genetic Algorithm and Inverse Finite

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This study introduces an optimized sensor placement strategy using the inverse finite element method (iFEM) and genetic algorithm (GA). The method accurately reconstructs full-field deformations of structures using fewer sensors.

Keywords:
deformation monitoringgenetic algorithminverse finite element methodoptimal sensor placementstructural health monitoring

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Area of Science:

  • * Structural Mechanics
  • * Computational Engineering
  • * Optimization Algorithms

Background:

  • * Accurate deformation reconstruction is crucial for structural health monitoring.
  • * Traditional sensor placement methods can be sensor-intensive and computationally expensive.
  • * The inverse finite element method (iFEM) offers a promising approach for deformation analysis.

Purpose of the Study:

  • * To develop and validate an optimized sensor placement strategy for plate/shell structures.
  • * To reduce the number of sensors required for accurate real-time deformation reconstruction.
  • * To couple the inverse finite element method (iFEM) with a genetic algorithm (GA) for sensor optimization.

Main Methods:

  • * Integration of the genetic algorithm (GA) with four-node quadrilateral inverse-shell elements (iQS4) for sensor positioning.
  • * Displacement monitoring of various plates under static and dynamic loads to assess the iFEM-GA performance.
  • * Application of practical optimization constraints to demonstrate real-world applicability.

Main Results:

  • * The iFEM-GA method achieved high accuracy in displacement results with a reduced sensor count.
  • * Adequate initial population size in GA is essential for diverse and optimal sensor placement models.
  • * The method demonstrated effectiveness in structural dynamics and complex structures like stiffened plates and curved shells.

Conclusions:

  • * The coupled iFEM-GA approach is a superior and viable strategy for sensor placement.
  • * Accurate shape sensing of engineering structures is achievable with significantly fewer sensors.
  • * This method enables efficient and cost-effective structural deformation monitoring.