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Related Experiment Video

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Determination of the Mechanical Properties of Flexible Connectors for Use in Insulated Concrete Wall Panels

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Published on: October 19, 2022

Experimental Shape Sensing and Load Identification on a Stiffened Panel: A Comparative Study.

Marco Esposito¹, Massimiliano Mattone¹, Marco Gherlone¹

¹Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Torino, Italy.

Sensors (Basel, Switzerland)

|February 15, 2022

Summary

This summary is machine-generated.

Structural Health Monitoring relies on tracking loads and displacements. The inverse Finite Element Method (iFEM) accurately reconstructs structural deformation from strain data, outperforming other methods.

Keywords:

SHM aerospace structure displacements reconstruction experimental testing iFEM load identification shape sensing stiffened panel strain structural health monitoring

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Area of Science:

Structural Engineering
Materials Science
Computational Mechanics

Background:

Continuous monitoring of loads and displacements is vital for modern Structural Health Monitoring (SHM).
Strain sensing technologies enable the reconstruction of displacements and identification of loads from discrete measurements.
Accurate SHM guides proactive maintenance, reducing costs and extending structure lifespan.

Purpose of the Study:

To comparatively evaluate the accuracy and reliability of three leading methods for displacement reconstruction and load identification: inverse Finite Element Method (iFEM), Modal Method (MM), and a 2-step method.
To assess these methods using experimental strain data from a stiffened aluminum plate.
To determine the optimal fiber optic sensor placement for strain measurement.

Main Methods:

Formulation and numerical framework for iFEM, MM, and the 2-step method.
Experimental testing on a stiffened aluminum plate using a fiber optic sensing system for surface strain measurement.
Optimization of fiber optic sensor pattern and use of additional sensors for force and deflection validation.

Main Results:

The inverse Finite Element Method (iFEM) demonstrated extreme accuracy and reliability in reconstructing the deformed shape of the aluminum plate.
The Modal Method (MM) provided good displacement reconstruction but showed sensitivity to the selection of modes.
The 2-step method successfully identified loads and reconstructed displacements, with accuracy dependent on experimental setup modeling.

Conclusions:

iFEM is highly accurate for reconstructing structural deformation from strain measurements.
MM is a viable option for displacement reconstruction, though mode selection requires careful consideration.
The 2-step method effectively identifies loads and reconstructs displacements, highlighting the importance of accurate experimental modeling.