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Time-series analysis of GPS monitoring data from a long-span bridge considering the global deformation due to air temperature changes

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Abstract

Although the structural health monitoring (SHM) based on the displacement measurement has been adopted in some cases of long-span bridges and recognized several advantages, there are some issues required to be considered, such as in acquiring the long-term static displacements with high and stable accuracies and in converting large amount of data into usable information. The global positioning system (GPS) is expected to solve those issues. This study aims to analyze the GPS time-series data acquired in a cable-stayed bridge in Vietnam, and to verify the usable feature for the structural condition assessment. Here, we suggest the use of the global deformations that are due to the periodic air temperature changes. Firstly, we observed the quality of acquired GPS data, and the missing data was interpolated by applying the least-squares estimation. The correlation coefficient analysis was then conducted using both the GPS and the air temperature data to understand the global deformation due to temperature changes. It was clarified that the global towers-girder coupled deformation was dominated by the 1-day periodic temperature change. The autoregressive integrated moving average (ARIMA) model was then applied to the GPS time-series data, and it was shown that there were high regressions in some AR-MA coefficients plots. It was thus concluded that those plots could be used as the base distributions for the statistical structural condition assessment.

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Authors and Affiliations

  1. Department of Civil Engineering, Yokohama National University, Yokohama, Japan

    Hien Van Le & Mayuko Nishio

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  1. Hien Van Le
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  2. Mayuko Nishio
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Correspondence to Hien Van Le.

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Van Le, H., Nishio, M. Time-series analysis of GPS monitoring data from a long-span bridge considering the global deformation due to air temperature changes. J Civil Struct Health Monit 5, 415–425 (2015). https://doi.org/10.1007/s13349-015-0124-9

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  • DOI: https://doi.org/10.1007/s13349-015-0124-9

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