Shape sensing methods: Review and experimental comparison on a wing-shaped plate

Gherlone, Marco; Cerracchio, Priscilla; Mattone, Manuela

doi:10.1016/j.paerosci.2018.04.001

Cited by 125 publications

(56 citation statements)

References 30 publications

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“…In the first example [1], a wing-shaped cantilevered plate is considered (Figure 3(a)). e material is an aluminum alloy (Young's modulus E � 72017 MPa, Poisson's ratio ] � 0.325).…”

Section: Numerical Examplesmentioning

confidence: 99%

“…Existing shape-sensing methods can be classified into four categories based on different approaches [1]: (1) numerical integration of experimental strains, (2) use of global or piecewise continuous basis functions to approximate the displacement field, (3) application of neural networks, and (4) use of variational approaches. Most of the methods based on the integration of measured strains deal with beam problems and make use of the classical beam equations [2,3].…”

Section: Introductionmentioning

confidence: 99%

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Shape Sensing of Plate and Shell Structures Undergoing Large Displacements Using the Inverse Finite Element Method

Tessler

Roy

Esposito

et al. 2018

Shock and Vibration

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The inverse Finite Element Method (iFEM) is applied to reconstruct the displacement field of a shell structure which undergoes large deformations using discreet strain measurements as the prescribed data. The iFEM computations are carried out using an incremental procedure where at each load step, the incremental strains are used to evaluate the incremental displacements which in turn update the geometry of the deformed structure. The efficacy of the proposed approach to predict large displacements is examined using two case studies involving a cantilevered wing-shaped plate and a clamped plate. The incremental iFEM procedure is demonstrated to be sufficiently accurate in terms of reproducing the correct nonlinear character of the load-displacement curve even when a reduced number of strain sensors is used. Therefore, this approach may have important implications for real-time monitoring of aerospace structures that undergo large displacements.

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“…In the first example [1], a wing-shaped cantilevered plate is considered (Figure 3(a)). e material is an aluminum alloy (Young's modulus E � 72017 MPa, Poisson's ratio ] � 0.325).…”

Section: Numerical Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shape Sensing of Plate and Shell Structures Undergoing Large Displacements Using the Inverse Finite Element Method

Tessler

Roy

Esposito

et al. 2018

Shock and Vibration

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some of these techniques were recently compared to iFEM methodology for shape sensing of composite wing box [ 11 ], where it was demonstrated that the iFEM predicts better and more accurate deformed shapes than Ko theory [ 6 ] and modal methods [ 8 ]. Moreover, an extensive literature review study of iFEM and other shape-sensing methods can be found in [ 12 ]. Herein, we report only those recently published within the context of iFEM.…”

Section: Introductionmentioning

confidence: 99%

Isogeometric iFEM Analysis of Thin Shell Structures

Kefal

Öterkuş

2020

Sensors

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Shape sensing is one of most crucial components of typical structural health monitoring systems and has become a promising technology for future large-scale engineering structures to achieve significant improvement in their safety, reliability, and affordability. The inverse finite element method (iFEM) is an innovative shape-sensing technique that was introduced to perform three-dimensional displacement reconstruction of structures using in situ surface strain measurements. Moreover, isogeometric analysis (IGA) presents smooth function spaces such as non-uniform rational basis splines (NURBS), to numerically solve a number of engineering problems, and recently received a great deal of attention from both academy and industry. In this study, we propose a novel “isogeometric iFEM approach” for the shape sensing of thin and curved shell structures, through coupling the NURBS-based IGA together with the iFEM methodology. The main aim is to represent exact computational geometry, simplify mesh refinement, use smooth basis/shape functions, and allocate a lower number of strain sensors for shape sensing. For numerical implementation, a rotation-free isogeometric inverse-shell element (isogeometric Kirchhoff–Love inverse-shell element (iKLS)) is developed by utilizing the kinematics of the Kirchhoff–Love shell theory in convected curvilinear coordinates. Therefore, the isogeometric iFEM methodology presented herein minimizes a weighted-least-squares functional that uses membrane and bending section strains, consistent with the classical shell theory. Various validation and demonstration cases are presented, including Scordelis–Lo roof, pinched hemisphere, and partly clamped hyperbolic paraboloid. Finally, the effect of sensor locations, number of sensors, and the discretization of the geometry on solution accuracy is examined and the high accuracy and practical aspects of isogeometric iFEM analysis for linear/nonlinear shape sensing of curved shells are clearly demonstrated.

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“…Although many types of inverse problems and their applications have been proposed, few researchers have dealt with the deformation sensing of the wing shape. The current methods used to sense the wing shape can be divided into two categories [ 10 ]: one category focuses on the deformation sensing of the skin comprised of plate/shell structures to reflect the deformation of the wing shape and the other category emphasizes on the deformation sensing of a wing frame made of beam structures.…”

Section: Introductionmentioning

confidence: 99%

“…According to Timoshenko beam theory, Gherlone et al analyzed the displacement field of a constant cross-section beam, consequently constructing the relationship between the displacement and the surface strain data through iFEM [ 27 , 28 ]. Furthermore, Gherlone et al conducted a comparative research on the aforementioned three shape sensing approaches: the iFEM, the modal transformation method and the Ko’s Displacement Theory [ 10 ]. It is found that the iFEM method is slightly more accurate and attractive than the other two methods for shape sensing.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sensor Placement Based on Eigenvalues Analysis for Sensing Deformation of Wing Frame Using iFEM

Zhao

Bao

et al. 2018

Sensors

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For real time monitoring of the wing state, in this paper, the inverse Finite Element Method (iFEM) is applied, which describes the displacement field of beam according to the Timoshenko theory, to sense the wing frame deformation. In order to maintain the accuracy and stability of frame deformation sensing with iFEM, an optimal placement model of strain sensors based on eigenvalue analysis is constructed. Through the model solution with the Particle Swarm Optimization (PSO) algorithm, two different optimal placement schemes of sensors are obtained. Finally, a simulation is performed on a simple cantilever beam and a static load experiment is conducted on an aluminum alloy wing frame. The results demonstrate that the iFEM is able to accurately sense the deformation of the wing frame, when the two optimal placement schemes of sensors are used.

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Shape sensing methods: Review and experimental comparison on a wing-shaped plate

Cited by 125 publications

References 30 publications

Shape Sensing of Plate and Shell Structures Undergoing Large Displacements Using the Inverse Finite Element Method

Shape Sensing of Plate and Shell Structures Undergoing Large Displacements Using the Inverse Finite Element Method

Isogeometric iFEM Analysis of Thin Shell Structures

Optimal Sensor Placement Based on Eigenvalues Analysis for Sensing Deformation of Wing Frame Using iFEM

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