New Concept of Dual-Sinusoid Distributed Fiber-Optic Sensors Antiphase-Placed for the SHM of Smart Composite Structures for Offshore
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Published:2024-01-22
Issue:2
Volume:14
Page:932
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Su Hao1ORCID, Drissi-Habti Monssef23ORCID, Carvelli Valter13ORCID
Affiliation:
1. Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milan, Italy 2. Department of Components and Systems, Université Gustave Eiffel, 77447 Marne-la-Vallée, France 3. International Associated Laboratory (UGE-Polimi), SenSIN-CT, 77447 Marne-la-Vallée, France
Abstract
This work is a follow-up to previous research by our team and is devoted to studying a dual-sinusoidal placement of distributed fiber-optic sensors (FOSs) that are embedded inside an adhesive joint between two composite laminates. The constructed smart continuous fiber-reinforced polymer composite structure is well suited to the structural health monitoring (SHM) system for offshore wind turbine blades. Three main drawbacks of SHM through embedded distributed FOSs, however, have been identified in this article, so their impact must be analyzed. Despite existing research, the influence of the dual-sinusoidal placement under various loading conditions on structural mechanical behavior and sensing functionality has not been considered yet since its introduction. Thus, this study aims to identify the resulting strain patterns and sensing capabilities from an optimized dual-sinusoidal placement of FOSs in various loading cases through finite element modeling. Ultimately, this work illustrates the strain-measuring advantages of dual-sinusoidal FOSs, explains the correspondence between the strains measured by FOSs and that of host structures, and discusses the balance among mechanical influences, sensing functions, and monitoring coverage. It is worth noting that the current work is a still introductory concept that aims at refining key parameters that have been emphasized in previous research, before starting an applied study that will consider both numerical and validation steps on real large smart composite structures.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference39 articles.
1. Drissi-Habti, M., Raman, V., Khadour, A., and Timorian, S. (2017). Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing. Sensors, 17. 2. Raman, V. (2017). A Smart Composite Based on Carbon Fiber and Epoxy Matrix for New Offshore Wind-Turbines. Multi-Scale Numerical and Analytical Modelings. [Ph.D. Thesis, École Centrale de Nantes]. 3. Raman, V., Drissi-Habti, M., Limje, P., and Khadour, A. (2019). Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors. Sensors, 19. 4. Drissi-Habti, M., Abhijit, N., Sriharsha, M., Carvelli, V., and Bonamy, P.-J. (2022). Concept of Placement of Fiber-Optic Sensor in Smart Energy Transport Cable under Tensile Loading. Sensors, 22. 5. Drissi-Habti, M., Neginhal, A., Manepalli, S., and Carvelli, V. (2022). Fiber-Optic Sensors (FOS) for Smart High Voltage Composite Cables—Numerical Simulation of Multi-Parameter Bending Effects Generated by Irregular Seabed Topography. Sensors, 22.
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