Strain transfer effect on measurements with distributed fiber optic sensors

Yan, Meng; Tan, Xiao; Mahjoubi, Soroush; Bao, Yi

doi:10.1016/j.autcon.2022.104262

Cited by 42 publications

(13 citation statements)

References 99 publications

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“…Furthermore, local bending of steel reinforcement has been shown to produce variations in the magnitude of the resulting strain measurements [ 52 ], where, for this study, the fiber-optical cables are located on the outside of the rebar. Other factors include the strain “transfer effect”, which could result in the strains determined by the sensors being different from the strains of the host structure (i.e., the steel rebar) [ 15 , 53 , 54 ]. While the authors took a number of precautions to reduce these strain transfer effects [ 55 ] (e.g., see Section 2.2.1 , consideration of adhesive type, engraving a small groove, fiber bonded directly to the reinforcement [ 3 ], etc.…”

Section: Surface and Core Resultsmentioning

confidence: 99%

“…A more complete and detailed explanation of this process can be found in the literature [ 13 , 14 ]. Some of the unique features of DFOS include, but are not limited to, its high accuracy (e.g., ±25 με for a pitch of 0.65 mm), repeatability, stability, resistance to electromagnetic interference, protection from corrosion, low weight, small size (e.g., diameter typically less than 200 μm [ 3 ]), and low cost [ 12 , 15 , 16 ]. It is worth noting that, while the cost of the individual sensing fibers is low, at approximately US $100 per 20 m of polyimide fiber, the cost of the measurement system is still currently high [ 12 ] (e.g., 4-channel ODiSI 6104 Series system priced at approximately US $100 k).…”

Section: Introductionmentioning

confidence: 99%

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Core versus Surface Sensors for Reinforced Concrete Structures: A Comparison of Fiber-Optic Strain Sensing to Conventional Instrumentation

Hoult

Bertholet

Almeida

2023

Sensors

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High-resolution distributed reinforcement strain measurements can provide invaluable information for developing and evaluating numerical and analytical models of reinforced concrete structures. A recent testing campaign conducted at UCLouvain in Belgium used fiber-optic sensors embedded along several longitudinal steel rebars of three reinforced concrete U-shaped walls. The resulting experimental dataset provides an opportunity to evaluate and compare, for different types of loading, the strain measurements obtained with the fiber-optic sensors in the confined core of the structural member against more conventional and state-of-the-practice sensors that monitor surface displacements and deformations. This work highlights the need to average strain measurements from digital image correlation techniques in order to obtain coherent results with the strains measured from fiber optics, and investigates proposals to achieve this relevant goal for research and engineering practices. The longitudinal strains measured by the fiber optics also provide additional detailed information on the behavior of these wall units compared to the more conventional instrumentation, such as strain penetration into the foundation and head of the wall units, which are studied in detail.

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Section: Surface and Core Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Core versus Surface Sensors for Reinforced Concrete Structures: A Comparison of Fiber-Optic Strain Sensing to Conventional Instrumentation

Hoult

Bertholet

Almeida

2023

Sensors

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“…To ensure the safety of steel beam structures under the combined action of design loads and accidental overloads, the beam safety is evaluated by regular monitoring, comparing the measured maximum stress with the allowable stress of the steel beam calculated by the design code [8]. Various fber-optic sensing systems based on diferent sensing mechanisms have been developed to evaluate the safety of steel beam structural members [9][10][11]. Wardenier et al [12,13] proposed a fatigue strength evaluation method for steel beams with diferent failure modes through fatigue tests.…”

Section: Introductionmentioning

confidence: 99%

Safety Evaluation of Steel Temporary Beam Service Status Based on the Combination Weighting‐Fuzzy Model of Game Theory

Wang

chen

et al. 2023

Mathematical Problems in Engineering

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The safe service state of railway steel girders directly affects the safety of frame bridge jacking and the operation of existing lines. For this reason, this paper first adopts a dynamic and static method to analyze the deflection, acceleration, and stress value of temporary steel beams, personnel factors, management factors, and environmental factors. In terms of factors, a safety evaluation index system for the service status of the beams is established, and then, the subjective and objective weights of the indicators are determined by the analytic hierarchy process (AHP) and the coefficient of variation method. The combined weights of the indicators are calculated by introducing game theory. Finally, the fuzzy comprehensive evaluation model is used to obtain the security level of the beam service status. The weight of the indicators that affects the safety of the service state of the beam and the order of risks can be obtained through the calculation. For the indicators ranked first, measures such as increasing the amount of monitoring can be prioritized to reduce the possibility of safety accidents in frame bridge jacking construction and existing line operation.

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“…There are many domestic and foreign studies on theoretical analyses, numerical simulations, and model tests for crude oil transmission pipelines. Tan et al ( 1 , 2 ), Tan and Bao ( 3 ), and Yan et al ( 4 ) used distributed fiber optic sensors to detect, visualize, quantify, and warn about pipeline corrosion. Wei et al analyzed a variety of operating conditions under FSI to analyze the influences from pressure, velocity, and acceleration on the natural frequency, and revealed that fluid parameters, pipeline parameters, and external excitation all affect the flow transmission pipeline ( 5 ).…”

mentioning

confidence: 99%

Dynamic Effect of Fluid–Structure Interaction and Modal Analysis of Crude–Pipeline Interaction System Considering the Fluctuating Pressure of Medium

Weng

Xie

et al. 2023

Transportation Research Record: Journal of the Transportation R

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This work explored the fluid–structure interaction (FSI) effect of crude oil and pipeline and the vibration characteristics of the pipe–crude oil structural system. A finite element computational analysis theory and corresponding simulation method were proposed for crude oil pipelines considering the FSI effect. Meanwhile, the spring model of the FSI interface between crude oil and pipeline was proposed. The experimental simulation and neural network were adopted to obtain the flow-excited pulsation pressure (FEPP), and the kinetic equations of the pipe–crude oil FSI were analyzed. The finite element computation (FEC) model for pipe–crude oil bi-directional FSI dynamics was established, which was composed of five support span lengths and four pipe liquid levels and can provide five different crude oil fluid velocities. One hundred orthogonal simulation test conditions were designed. In addition, the displacement response and acceleration response under FSI of the pipe wall were calculated, and the first six orders of inherent frequencies and main vibration patterns of the FEC model were analyzed. The results revealed that the dynamic effect of FSI between the crude oil transport medium and pipeline was complex and was influenced by the length of the pipeline crossing section, medium flow velocity, difference of liquid surface height, and displacement response. The acceleration response possessed prominent vibration decay characteristics, and the response peak in the same condition was about 8.2 times larger than that of the steady-flow state response. Therefore, the effect changed the inherent frequency and vibration pattern of the pipeline, to which the engineering design should pay sufficient attention.

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Strain transfer effect on measurements with distributed fiber optic sensors

Cited by 42 publications

References 99 publications

Core versus Surface Sensors for Reinforced Concrete Structures: A Comparison of Fiber-Optic Strain Sensing to Conventional Instrumentation

Core versus Surface Sensors for Reinforced Concrete Structures: A Comparison of Fiber-Optic Strain Sensing to Conventional Instrumentation

Safety Evaluation of Steel Temporary Beam Service Status Based on the Combination Weighting‐Fuzzy Model of Game Theory

Dynamic Effect of Fluid–Structure Interaction and Modal Analysis of Crude–Pipeline Interaction System Considering the Fluctuating Pressure of Medium

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