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

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          Abstract

          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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          Most cited references45

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          Fibre Optic Sensors for Structural Health Monitoring of Aircraft Composite Structures: Recent Advances and Applications

          In-service structural health monitoring of composite aircraft structures plays a key role in the assessment of their performance and integrity. In recent years, Fibre Optic Sensors (FOS) have proved to be a potentially excellent technique for real-time in-situ monitoring of these structures due to their numerous advantages, such as immunity to electromagnetic interference, small size, light weight, durability, and high bandwidth, which allows a great number of sensors to operate in the same system, and the possibility to be integrated within the material. However, more effort is still needed to bring the technology to a fully mature readiness level. In this paper, recent research and applications in structural health monitoring of composite aircraft structures using FOS have been critically reviewed, considering both the multi-point and distributed sensing techniques.
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            Shape sensing of 3D frame structures using an inverse Finite Element Method

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              Application of FBG sensors for geotechnical health monitoring, a review of sensor design, implementation methods and packaging techniques

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                25 July 2018
                August 2018
                : 18
                : 8
                : 2424
                Affiliations
                [1 ]Key Laboratory of Electronic Equipment Structure Design of Ministry of Education, Xidian University, Xi’an 710071, China; henanzy1984@ 123456163.com (Y.Z.); jldu@ 123456mail.xidian.edu.cn (J.D.)
                [2 ]Xinjiang Observatory, National Astronomical Observatories, Chinese Academy of Sciences, Urumqi 830011, China; xuqian@ 123456xao.ac.cn
                Author notes
                [* ]Correspondence: hbao@ 123456xidian.edu.cn ; Tel.: +86-029-8820-3040
                Article
                sensors-18-02424
                10.3390/s18082424
                6111260
                30046028
                42de8b48-0cfa-47e7-a383-469719b6a5b9
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 June 2018
                : 21 July 2018
                Categories
                Article

                Biomedical engineering
                deformation sensing,inverse finite element method,timoshenko beam theory,optimal placement of sensors,eigenvalue analysis

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