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Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

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A Two-Dimensional Eight-Node Quadrilateral Inverse Element for Shape Sensing and Structural Health Monitoring.

Mingyang Li¹, Erkan Oterkus², Selda Oterkus²

¹Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212100, China.

Sensors (Basel, Switzerland)

|December 23, 2023

Summary

The inverse finite element method (iFEM) offers advantages for structural analysis. This study presents a new 2D iFEM formulation, showing accurate results for thin structures under in-plane loads.

Keywords:

iFEM quadrilateral shape sensing structural health monitoring two-dimensional

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Area of Science:

Computational mechanics
Structural analysis
Finite element methods

Background:

The inverse finite element method (iFEM) is a valuable technique for shape sensing and structural health monitoring.
Existing iFEM approaches have limitations that necessitate further development.

Purpose of the Study:

To introduce a novel two-dimensional eight-node quadrilateral inverse finite element formulation.
To assess the accuracy and applicability of this new iFEM formulation for thin structures under in-plane loading.

Main Methods:

Development of a two-dimensional eight-node quadrilateral inverse finite element.
Numerical simulations of four distinct cases with varying loads and boundary conditions.
Comparison of iFEM results against traditional finite element analysis (FEA) solutions.

Main Results:

The proposed iFEM formulation is suitable for thin structures subjected to in-plane loads.
Excellent agreement was observed between the iFEM analysis and the reference FEA solutions across all tested cases.
Validation of the accuracy and effectiveness of the developed iFEM approach.

Conclusions:

The presented 2D iFEM formulation is a capable tool for structural analysis.
The method demonstrates high accuracy and reliability when compared to established FEA techniques.
This work contributes to the advancement of shape sensing and structural health monitoring tools.