Research progress on calibration of bridge structural health monitoring sensing system

Abstract

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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Funding

Innovative Research Group Project of the National Natural Science Foundation of China(52221002); Fundamental Research Funds for the Central Universities of China(2022CDJQY-009)