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Priscilla Cerracchio

Researcher at Polytechnic University of Turin

Publications -  13
Citations -  624

Priscilla Cerracchio is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Finite element method & Mixed finite element method. The author has an hindex of 10, co-authored 13 publications receiving 399 citations. Previous affiliations of Priscilla Cerracchio include Superior National School of Advanced Techniques & Instituto Politécnico Nacional.

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Journal ArticleDOI

Shape sensing of 3D frame structures using an inverse Finite Element Method

TL;DR: In this article, a robust and efficient computational method for reconstructing the elastodynamic structural response of truss, beam, and frame structures, using measured surface-strain data, is presented.
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An inverse finite element method for beam shape sensing: theoretical framework and experimental validation

TL;DR: In this paper, the authors demonstrate that the recently presented iFEM for beam and frame structures is reliable when experimentally measured strains are used as input data, i.e., reconstruction of the displacement field of a structure from surface-measured strains, has relevant implications for the monitoring, control and actuation of smart structures.
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Shape sensing methods: Review and experimental comparison on a wing-shaped plate

TL;DR: In this article, a review of shape sensing methodologies available in the open literature and of the different applications is provided, and an experimental comparative study is presented among the main approaches in order to highlight their relative merits in presence of uncertainties affecting real applications.
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A novel approach for displacement and stress monitoring of sandwich structures based on the inverse Finite Element Method

TL;DR: In this article, a shape and stress-sensing methodology for laminated composite and sandwich structures is presented. But the method is not suitable for the real-time reconstruction of displacement and stress fields from discrete-location strain measurements.
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Real-time displacement monitoring of a composite stiffened panel subjected to mechanical and thermal loads

TL;DR: It is shown that iFEM is a viable methodology for shape sensing of composite stiffened structures, having the desired computational efficiency, accuracy, and robustness with respect to strain-measurement errors.