Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methods

Rezayat, Ali; Pauw, Ben De; Lamberti, Alfredo; El-Kafafy, Mahmoud; Nassiri, Vahid; Ertveldt, Julien; Arroud, Galid; Vanlanduit, Steve; Guillaume, Patrick

doi:10.1016/j.compstruct.2016.03.065

Cited by 38 publications

(22 citation statements)

References 33 publications

(43 reference statements)

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“…where y n is the thickness of the CFRP laminates. By substituting (12) and (14) into (13), an equation can be derived as follows:…”

Section: Of 19mentioning

confidence: 99%

“…Fiber Bragg grating (FBG) sensors, a type of optical fiber sensor, have been recognized as ideal choices for aviation structure strain measurement [11]. FBG sensors have many advantages such as their small size, high sensitivity, multiplexing capability and immunity to electromagnetic interference [12][13][14]. FBG is made by inscribing grating in an optical fiber core.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Strain Transfer Characteristic of a Fiber Bragg Grating Sensor Bonded to the Surface of Carbon Fiber Reinforced Polymer Laminates

Wang

Zhang

et al. 2018

Applied Sciences

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Structural health monitoring is of great importance for the application of composites in aircrafts. Fiber Bragg grating (FBG) sensors are very suitable for structure strain measurement. However, the strain measured by FBG sensors is different from the original strain in host materials. The relationship between them is defined as strain transfer. As composites are anisotropic, the traditional strain transfer model, which regards the elasticity modulus of host materials as a constant, is inadaptable. In this paper, a new strain transfer model is proposed for FBG sensors bonded to the surface of carbon fiber reinforced polymer (CFRP) laminates. Based on the measurement structure, the model is established and the transfer function is derived. The characteristics influencing the strain transfer are analyzed. The stacking directions, stacking numbers, and stacking sequences of CFRP laminates have a distinct effect on the transfer efficiency, which is different from the isotropy host materials. The accuracy of the proposed model was verified by experiments on a nondestructive tensile system, and the maximum model error is less than 0.5%. Moreover, the model was applied to the strain measurement of CFRP wing skin, which indicates that measurement errors decrease by 11.6% to 19.8% after the compensation according to the model.

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“…where y n is the thickness of the CFRP laminates. By substituting (12) and (14) into (13), an equation can be derived as follows:…”

Section: Of 19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strain Transfer Characteristic of a Fiber Bragg Grating Sensor Bonded to the Surface of Carbon Fiber Reinforced Polymer Laminates

Wang

Zhang

et al. 2018

Applied Sciences

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“…Recently, Bragg grating fabrication based on various materials or special fiber structure design is emerging rapidly [18][19][20][21], for instance, a chirped Bragg grating on microstructured polymethyl methacrylate fiber proposed by Korganbayev et al (2018) [22] that demonstrated excellent sensitivity for thermal profile detection; and some multicore fibers (MCFs) have been used as fiber optic three-dimensional shape sensors such as the helical MCF with continuous grating developed by Lally et al (2012) [23] for real-time shape sensing using the optical frequency domain reflectometry technique. Such sensors have been widely applied in civil engineering [24], healthcare medical devices [25,26], structural engineering [27,28], aerospace [29], oil and fuels [30], and harsh environments [31], among others.…”

Section: Introductionmentioning

confidence: 99%

Multifunctional Textile Platform for Fiber Optic Wearable Temperature-Monitoring Application

et al. 2019

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Wearable sensing technologies have been developed rapidly in the last decades for physiological and biomechanical signal monitoring. Much attention has been paid to functions of wearable applications, but comfort parameters have been overlooked. This research presents a developed fabric temperature sensor by adopting fiber Bragg grating (FBG) sensors and processing via a textile platform. This FBG-based quasi-distributed sensing system demonstrated a sensitivity of 10.61 ± 0.08 pm/°C with high stability in various temperature environments. No obvious wavelength shift occurred under the curvatures varying from 0 to 50.48 m−1 and in different integration methods with textiles. The temperature distribution monitored by the developed textile sensor in a complex environment with multiple heat sources was deduced using MATLAB to present a real-time dynamic temperature distribution in the wearing environment. This novel fabric temperature sensor shows high sensitivity, stability, and usability with comfort textile properties that are of great potential in wearable applications.

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“…In several engineering and industrial applications, the estimation of input forces and states is vital, especially in the structural design, control, and health monitoring as well as various mechanical systems. For instance, in order to monitor impact‐induced damage in the aerospace structures, reconstruction of the impact force and impact location on the composite structures has been studied in previous studies . Identification of the moving loads on a continuous bridge was addressed in previous studies .…”

Section: Introductionmentioning

confidence: 99%

“…For instance, in order to monitor impact-induced damage in the aerospace structures, reconstruction of the impact force and impact location on the composite structures has been studied in previous studies. [1][2][3] Identification of the moving loads on a continuous bridge was addressed in previous studies. [4][5][6] Estimation of the wind load in order to evaluate the health condition of high-rise structures was conducted in previous studies.…”

Section: Introductionmentioning

confidence: 99%

Bayesian framework for simultaneous input/state estimation in structural and mechanical systems

Valikhani

Younesian

2019

Struct Control Health Monit

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Summary Real‐time input/state estimation by means of the observed response has drawn considerable attention in the structural, dynamic, and control systems. In this line, a minimum‐variance unbiased (MVU) estimator has been utilized to develop three‐step filters that sometimes experience instability and divergence, especially for the input estimation in structural dynamics. To solve this challenge, this study is aimed at to estimate both the input and state simultaneously for a linear system. A Bayesian framework is developed, in which the prior information of the unknown input in terms of the a priori probability density function is incorporated in estimation process. Formulation of the estimation is presented in the state‐space representation in presence and absence of the direct feedthrough. Three‐step filters including input estimation, state prediction, and the updating are developed for the system having model uncertainty and noisy observed data. In addition to the estimation, another novel feature of this study is to predict the steady states of the filters in the closed‐form representation. We also establish sufficient conditions for convergence and stability of the proposed filters. At the end, the efficiency, robustness, and advantage of the approach is verified through numerical studies for different systems. Results for the input and state estimation are compared with real values according to the MVU estimator for the observed noisy data sets.

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Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methods

Cited by 38 publications

References 33 publications

Strain Transfer Characteristic of a Fiber Bragg Grating Sensor Bonded to the Surface of Carbon Fiber Reinforced Polymer Laminates

Strain Transfer Characteristic of a Fiber Bragg Grating Sensor Bonded to the Surface of Carbon Fiber Reinforced Polymer Laminates

Multifunctional Textile Platform for Fiber Optic Wearable Temperature-Monitoring Application

Bayesian framework for simultaneous input/state estimation in structural and mechanical systems

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