Browse > Article
http://dx.doi.org/10.21729/ksds.2022.15.3.79

Development of Automated Statistical Analysis Tool using Measurement Data in Cable-Supported Bridges  

Kim, Jaehwan (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Park, Sangki (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Jung, Kyu-San (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Seo, Dong-Woo (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korean Society of Disaster and Security / v.15, no.3, 2022 , pp. 79-88 More about this Journal
Abstract
Cable-supported bridges, as important large infrastructures, require a long-term and systematic maintenance strategy. In particular, various methods have been proposed to secure safety for the bridges, such as installing various types of sensor on members in the bridges, and setting management thresholds. It is evidently necessary to propose a strategic plan to efficiently manage increasing number of cable-supported bridges and data collected from a number of sensors. This study aims to develop an analysis tool that can automatically remove abnormal signals and calculate statistical results for the purpose of efficiently analyzing a wide range of data collected from a long span bridge measurement system. To develop the tool, basic information such as the types and quantity of sensors installed in long span bridges and signal characteristics of the collected data were analyzed. Thereafter, the Humpel filtering method was used to determine the presence or absence of an abnormality in the signal and then filtered. The statistical results with filtered data were shown. Finally, one cable-stayed bridge and one suspension bridge currently in use were chosen as the target bridges to verify the performance of the developed tool. Signal processing and statistical analysis with the tool were performed. The results are similar to the results reported in the existing work.
Keywords
Cable-supported bridge; Sensors; Measurement data; Humpel filter; Statistical analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Chung, C.-H., An, H.-H., Shin, S.-B., and Kim, Y.-H. (2014). Reset of Measurement Control Criteria for Monitoring Data through the Analysis of Measured Data, Journal of the Korea Institute for structural Maintenance and Inspection. 18(6): 105-113.   DOI
2 Hong, S.-S. (2015). Guideline for Installation and Operation of Health Monitoring System for Cable Supported Bridges. Journal of the Korean Society of Civil Engineers. 63(11): 25-29.
3 KISTEC (2019). Development of AI-based Dynamic Response Evaluation Model using Big Data to Secure the Reliability of Accelerometer Frequency Analysis, Technical Report, Korea. JinJu: KISTEC.
4 The Math Work, Inc. (2021). Matlab (Version 2021b). https://kr.mathworks.com/help/dsp/ref/hampelfilter.html
5 KALIS (2020). Optimization of Maintenance Measurement System using Long-Term Measurement Data, Technical Report, Korea. JinJu: KALIS.
6 Kim, H.-B. and Song, J.-H. (2016). Study for Determination of Management Thresholds of Bridge Structural Health Monitoring System based on Probabilistic Method. Journal of the Korea Institute for structural Maintenance and Inspection. 20(3): 103-110.   DOI
7 Kim, K.-H., Choi, G.-H., Jung, H.-M., Joo, D., Na, R., Choi, E.-H., Kwon, J.-H., and Yoo, S.-H. (2021). Quality Control on Water-level Data in Agricultural Reservoirs Considering Filtering Methods. Journal of the Korean Society of Agricultural Engineers. 63(5): 83-93.   DOI
8 Ko, B.-C., Heo, G.-H., Park, C.-R., Seo, Y.-D., and Kim, C.-G. (2020). Development of Damage Evaluation Technology Considering Variability for Cable Damage Detection of Cable-stayed Bridges. Journal of the Korea Institute for structural Maintenance and Inspection. 24(6): 77-84.   DOI