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Journal ArticleDOI

An inverse finite element method for beam shape sensing: theoretical framework and experimental validation

TLDR
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.
Abstract
Shape sensing, 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. The inverse finite element method (iFEM) is a shape-sensing methodology shown to be fast, accurate and robust. This paper aims to demonstrate that the recently presented iFEM for beam and frame structures is reliable when experimentally measured strains are used as input data.The theoretical framework of the methodology is first reviewed. Timoshenko beam theory is adopted, including stretching, bending, transverse shear and torsion deformation modes. The variational statement and its discretization with C0-continuous inverse elements are briefly recalled. The three-dimensional displacement field of the beam structure is reconstructed under the condition that least-squares compatibility is guaranteed between the measured strains and those interpolated within the inverse elements.The experimental setup is then described. A thin-walled cantilevered beam is subjected to different static and dynamic loads. Measured surface strains are used as input data for shape sensing at first with a single inverse element. For the same test cases, convergence is also investigated using an increasing number of inverse elements. The iFEM-recovered deflections and twist rotations are then compared with those measured experimentally. The accuracy, convergence and robustness of the iFEM with respect to unavoidable measurement errors, due to strain sensor locations, measurement systems and geometry imperfections, are demonstrated for both static and dynamic loadings.

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Citations
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Journal ArticleDOI

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.
Journal ArticleDOI

A quadrilateral inverse-shell element with drilling degrees of freedom for shape sensing and structural health monitoring

TL;DR: In this paper, a new four-node quadrilateral inverse-shell element, iQS4, is developed that expands the library of existing iFEM-based elements.
Journal ArticleDOI

Displacement and stress monitoring of a Panamax containership using inverse finite element method

Adnan Kefal, +1 more
- 01 Jun 2016 - 
TL;DR: In this article, the displacement and stress monitoring of a Panamax containership is performed based on the inverse finite element method (iFEM) for real-time reconstruction of full-field structural displacements and stresses in plate and shell structures that are instrumented by strain sensors.
Journal ArticleDOI

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.
Journal ArticleDOI

An enhanced inverse finite element method for displacement and stress monitoring of multilayered composite and sandwich structures

TL;DR: In this paper, an improved iFEM formulation is proposed for displacement and stress monitoring of laminated composite and sandwich plates and shells, including the kinematics of Refined Zigzag Theory (RZT) as its baseline.
References
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Book

Discrete-Time Signal Processing

TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
Journal ArticleDOI

LXVI. On the correction for shear of the differential equation for transverse vibrations of prismatic bars

TL;DR: In this article, the correction for shear of the differential equation for transverse vibrations of prismatic bars is discussed, where the correction is based on the correction of the transverse vibration of a prismatic bar.
Journal ArticleDOI

Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring

TL;DR: In this paper, a multi-rate Kalman filtering approach is proposed to solve the problem of problematic integration of accelerometer data that causes lowfrequency noise amplification, and potentially more problematic differentiation of displacement measurements which amplify high-frequency noise.

Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurement in dynamic system monitoring

A. Smyth
TL;DR: A smoothing step is introduced to obtain improved accuracy in the displacement estimate when it is sampled at lower rates than the corresponding acceleration measurement, and a multi-rate Kalman filtering approach is proposed to solve this problem.
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