Experimental and numerical investigation on large deformation reconstruction of thin laminated composite structures using inverse finite element method

The inverse finite element method (iFEM) is one of the best candidates to perform displacement monitoring (shape sensing) structures using a set on-board/embedded strain sensors. This study demonstrates high efficiency, robustness, and accuracy iFEM approach reconstruct geometrically non-linear deformations thin laminated plates shells by performing experimental measurements numerical analyses. formulation derived based on first-order shear deformation theory plates. A weighted least-squares variational principle utilized with incremental strains while geometrical update model predicted deformations. Moreover, quadrilateral inverse-shell (iQS4) employed discretize whole domain panels solve numerical/experimental shape-sensing problems. Further, polynomial pre-extrapolation technique incorporated iQS4 smoothen discrete data obtained from few rosettes placed along entire length structures. For each case study, high-fidelity analysis performed establish reference solution. Finally, qualitative quantitative comparison reconstructed results solutions confirms superior potential iFEM-iQS4 for full-field shape sensing laminates undergoing