Optimized Cryogenic FBG Sensitivity Coefficient Calibration for High-Precision Thermal Expansion Measurements

Yang, Tianlin; Shi, Lina; Yang, Yi; Guo, Xinran; Tao, Tao

doi:10.1007/s10909-023-02980-4

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…where α sub was the thermal expansion coefficient of the buoyancy materials; in the experiment about 4 × 10 −5 / • C, α was the thermal expansion coefficient of fibers, usually 5.5 × 10 −7 / • C [38,39], where α sub was much larger than α. Therefore, the impact of temperature changes on the center wavelength of fs-FBG was:…”

Section: Intelligent Buoyancy Materials Temperature and Strain Sensingmentioning

confidence: 96%

Strain and Temperature Sensing Based on Different Temperature Coefficients fs-FBG Arrays for Intelligent Buoyancy Materials

Tian,

Lou,

Zhang

et al. 2024

Sensors

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The temperature and strain fields monitoring during the preparation process of buoyancy materials, as well as the health status after molding, are important for mastering the mechanical properties of buoyancy materials and ensuring the safety of operators and equipment. This paper proposes a short and high-density femtosecond fiber Bragg grating (fs-FBG) array based on different temperature coefficients fibers. By optimizing the parameters of femtosecond laser point-by-point writing technology, high-performance fs-FBG arrays with millimeter level gating length and millimeter level spatial resolution were prepared on two types of fibers. These were successfully embedded in buoyancy materials to achieve in-situ online monitoring of the curing process and after molding. The experimental results show that the fs-FBG array sensor has good anti-chirp performance and achieves online monitoring of millimeter-level spatial resolution. Intelligent buoyancy materials can provide real-time feedback on the health status of equipment in harsh underwater environments. The system can achieve temperature monitoring with an accuracy of 0.56 °C and deformation monitoring with sub-millimeter accuracy; the error is in the order of micrometers, which is of great significance in the field of deep-sea exploration.

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Section: Intelligent Buoyancy Materials Temperature and Strain Sensingmentioning

confidence: 96%

Strain and Temperature Sensing Based on Different Temperature Coefficients fs-FBG Arrays for Intelligent Buoyancy Materials

Tian,

Lou,

Zhang

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Research progress on calibration of bridge structural health monitoring sensing system

Yang,

Chen,

Lin

et al. 2024

ABEN

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The full life-cycle state monitoring of bridge structures is an effective way to ensure traffic safety and is also an important trend in the development of modern transportation. The accuracy, traceability, and reliability of sensor data are the foundation for the Bridge Health Monitoring (BHM) system to achieve its various functions. However, commonly seen uncertainties in measurement results of the monitoring system such as error, linearity, and repeatability often need to be calibrated to ensure accuracy and reliability of the data. Therefore, the calibration of these basic uncertain elements has been brought to our research focus. In this study, we first comb the monitoring parameters and characteristics of different sensor systems to help select suitable bridge structure monitoring sensors and adopt appropriate calibration and traceability strategies. Then, in combination with the research on traditional sensor calibration techniques and new sensor calibration technology, we present the key factors to be considered in the sensor calibration process and the challenges faced by the current technologies. Finally, suggestions are made for the research trend on the calibration of bridge monitoring sensors, aiming to provide reference for both theoretical and practical studies on bridge sensor calibration in the future.

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Optimized Cryogenic FBG Sensitivity Coefficient Calibration for High-Precision Thermal Expansion Measurements

Cited by 2 publications

References 20 publications

Strain and Temperature Sensing Based on Different Temperature Coefficients fs-FBG Arrays for Intelligent Buoyancy Materials

Strain and Temperature Sensing Based on Different Temperature Coefficients fs-FBG Arrays for Intelligent Buoyancy Materials

Research progress on calibration of bridge structural health monitoring sensing system

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