Gaussian Process Strain Pre-extrapolation and Uncertainty Estimation for Inverse Finite Elements

Article Mechanics

Comparison of strain pre-extrapolation techniques for shape and strain sensing by iFEM of a composite plate subjected to compression buckling

Daniele Oboe et al.

Summary: The iFEM is a model-based technique for structural shape sensing using experimentally acquired input strain data, making it applicable for composite materials monitoring. In experiments, SEA and polynomial fitting are used to pre-extrapolate the strain field of the entire plate, and sensitivity analysis and laser measurements are used to validate the iFEM displacement reconstruction capability.

COMPOSITE STRUCTURES (2021)

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Article Chemistry, Analytical

Shape Sensing of a Complex Aeronautical Structure with Inverse Finite Element Method

Daniele Oboe et al.

Summary: The inverse Finite Element Method (iFEM) is gaining attention for shape sensing due to its independence from material properties and external load. Proper definition of model geometry, boundary conditions, and optimized sensor networks to acquire strain field are required for complex structures. A simplified iFEM model with reduced geometrical complexity and tuned boundary conditions is proposed to handle structures with partial sensor application, showing effectiveness in aeronautical structures with experimentally acquired strain measurements.

SENSORS (2021)

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Article Engineering, Mechanical

A smoothed iFEM approach for efficient shape-sensing applications: Numerical and experimental validation on composite structures

Adnan Kefal et al.

Summary: The smoothed inverse finite element method (iFEM((s))) combines the inverse finite element method (iFEM) and the smoothing element analysis (SEA) for real-time displacement field reconstruction using strain-sensor measurements. This method is validated for shape sensing in multilayered composite and sandwich structures. By incorporating refined zigzag theory (RZT), the approach accurately models through-the-thickness displacement distributions and accurately predicts structural shapes.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Review Chemistry, Analytical