Dynamic Performance Detection of CFRP Composite Pipes based on Quasi-Distributed Optical Fiber Sensing Techniques

Wang, Huaping; Feng, Si-Yuan; Gong, Xiang-Shu; Guo, Yunqi; Xiang, Ping; Yu, Fanglin

doi:10.3389/fmats.2021.683374

Cited by 21 publications

(9 citation statements)

References 27 publications

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“…Due to limited space, the current study will not elaborate on it. It should be noted that the above theoretical study can be further proven by a nondestructive testing technique [41][42][43][44].…”

Section: Calculation Examples and Parametric Analysismentioning

confidence: 79%

Propagation Prediction of Body Waves in Fluid-Saturated Soils with Flow-Independent Viscosity

2022

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A systematic study of wave theory in thermoviscoelastic soil is essential for engineering applications such as geophysical exploration. In the present work, the influences of flow-independent viscosity of the soil skeleton and the thermal effect on elastic waves are considered, and the propagation behaviors of body waves in thermoviscoelastic saturated soil are investigated. Firstly, the thermoviscoelastic dynamic coupling model of saturated soil were established by employing the Biot model, the generalized thermoelastic theory, and the Kelvin–Voigt linear viscoelastic model. Secondly, the dispersion equations of body waves in thermoviscoelastic saturated soil were theoretically derived with structural symmetry considered. Finally, the variations of wave velocity and the attenuation coefficient of the body waves with the thermophysical parameters are discussed. The results revealed that the enhancement of the relaxation time of soil caused an increase of wave velocity and the attenuation coefficient of P1, P2, and S waves, and a decrease of the wave velocity and attenuation coefficient of the thermal wave. Different ranges of the permeability coefficient and frequency have different effects on the P1, P2, and S waves. The variation of thermal conductivity and the phase-lags of heat flux and temperature gradient only affect the thermal wave.

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Section: Calculation Examples and Parametric Analysismentioning

confidence: 79%

Propagation Prediction of Body Waves in Fluid-Saturated Soils with Flow-Independent Viscosity

2022

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“…In this section, we present some experimental verifications of the proposed approach by applying the present technique to an experimental dataset adapted from Wang et al [38]. They used an optical fiber sensing system with a configuration of fiber Bragg grating (FBG) to extract the damage behavior in CFRP composite pipes.…”

Section: Experimental Validation Of the Proposed Methodsmentioning

confidence: 98%

Structural Health Monitoring of Composite Pipelines Utilizing Fiber Optic Sensors and an AI-Based Algorithm—A Comprehensive Numerical Study

Altabey

Noori

et al. 2023

Sensors

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In this paper, a structural health monitoring (SHM) system is proposed to provide automatic early warning for detecting damage and its location in composite pipelines at an early stage. The study considers a basalt fiber reinforced polymer (BFRP) pipeline with an embedded Fiber Bragg grating (FBG) sensory system and first discusses the shortcomings and challenges with incorporating FBG sensors for accurate detection of damage information in pipelines. The novelty and the main focus of this study is, however, a proposed approach that relies on designing an integrated sensing-diagnostic SHM system that has the capability to detect damage in composite pipelines at an early stage via implementation of an artificial intelligence (AI)-based algorithm combining deep learning and other efficient machine learning methods using an Enhanced Convolutional Neural Network (ECNN) without retraining the model. The proposed architecture replaces the softmax layer by a k-Nearest Neighbor (k-NN) algorithm for inference. Finite element models are developed and calibrated by the results of pipe measurements under damage tests. The models are then used to assess the patterns of the strain distributions of the pipeline under internal pressure loading and under pressure changes due to bursts, and to find the relationship of strains at different locations axially and circumferentially. A prediction algorithm for pipe damage mechanisms using distributed strain patterns is also developed. The ECNN is designed and trained to identify the condition of pipe deterioration so the initiation of damage can be detected. The strain results from the current method and the available experimental results in the literature show excellent agreement. The average error between the ECNN data and FBG sensor data is 0.093%, thus confirming the reliability and accuracy of the proposed method. The proposed ECNN achieves high performance with 93.33% accuracy (P%), 91.18% regression rate (R%) and a 90.54% F1-score (F%).

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“…In comparison to traditional metal materials, CFRPs have significant advantages, including a high specific strength/stiffness, good thermal stability, strong designability, and being lightweight (Liu et al, 2017; Takagaki et al, 2015; Wang et al, 2021). The pipes in the truss are two-force bars, which only bear the axial forces.…”

Section: Introductionmentioning

confidence: 99%

Structural design and experimental study on the axial compression behavior of large-span carbon-fiber-reinforced polymer truss structures

Li,

Chen,

et al. 2023

Advances in Structural Engineering

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Herein – with the optimization goals of a lightweight, large-span structure; modularization; and heavy loading – a tapered-section truss module and standard truss module are integrated and assembled, yielding a new design for an all-carbon-fiber-reinforced polymer (CFRP) truss structure. The design structure fully considers the mechanical characteristics of the truss and the requirements of standardized production efficiency, integrating the “fish keel” structural design method to give it a hollow structure style. By fabricating two 1:1 truss structures (A-Truss and B-Truss) with a length of 20.4 m, the conceptual design, modular design method, and integrated assembly technology of the truss structure were effectively verified; further, experimental research on the strength performance of the mold-clave-forming plate-type joint and the axial compression behavior of large-span full CFRP truss structure is carried out. The failure position of the truss structure is determined, and an enhancement measure for the key connection joint between the truss modules is proposed. Based on specific application scenarios, it is clear that the truss meets the design requirements in terms of bearing capacity and deformation, and can be used as the main bearing structure of large aircraft and aerospace assembly platforms.

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Dynamic Performance Detection of CFRP Composite Pipes based on Quasi-Distributed Optical Fiber Sensing Techniques

Cited by 21 publications

References 27 publications

Propagation Prediction of Body Waves in Fluid-Saturated Soils with Flow-Independent Viscosity

Propagation Prediction of Body Waves in Fluid-Saturated Soils with Flow-Independent Viscosity

Structural Health Monitoring of Composite Pipelines Utilizing Fiber Optic Sensors and an AI-Based Algorithm—A Comprehensive Numerical Study

Structural design and experimental study on the axial compression behavior of large-span carbon-fiber-reinforced polymer truss structures

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