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Sensors (Basel). 2019 Jul 11;19(14). pii: E3073. doi: 10.3390/s19143073.

An Improved Time-Series Model Considering Rheological Parameters for Surface Deformation Monitoring of Soft Clay Subgrade.

Xing X1,2, Chen L3,4,5, Yuan Z1,6, Shi Z2.

Author information

1
Laboratory of Radar Remote Sensing Applications, Changsha University of Science & Technology, Changsha 410014, China.
2
School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China.
3
Laboratory of Radar Remote Sensing Applications, Changsha University of Science & Technology, Changsha 410014, China. Lifu.Chen@newcastle.ac.uk.
4
School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410014, China. Lifu.Chen@newcastle.ac.uk.
5
School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. Lifu.Chen@newcastle.ac.uk.
6
School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410014, China.

Abstract

Building deformation models consistent with reality is a crucial step for time-series deformation monitoring. Most deformation models are empirical mathematical models, lacking consideration of the physical mechanisms of observed objects. In this study, we propose an improved time-series deformation model considering rheological parameters (viscosity and elasticity) based on the Kelvin model. The functional relationships between the rheological parameters and deformation along the Synthetic Aperture Radar ( SAR) line of sight are constructed, and a method for rheological parameter estimation is provided. To assess the feasibility and accuracy of the presented model, both simulated and real deformation data over a stretch of the Lungui highway (built on soft clay subgrade in Guangdong province, China) are investigated with TerraSAR-X satellite imagery. With the proposed deformation model, the unknown rheological parameters over all the high coherence points are obtained and the deformation time-series are generated. The high-pass (HP) deformation component and external leveling ground measurements are utilized to assess the modeling accuracy. The results show that the root mean square of the residual deformation is ±1.6 mm, whereas that of the ground leveling measurements is ±5.0 mm, indicating an improvement in the proposed model by 53%, and 34% compared to the pure linear velocity model. The results indicate the reliability of the presented model for the application of deformation monitoring of soft clay highways. The estimated rheological parameters can be provided as a reference index for the interpretation of long-term highway deformation and the stability control of subgrade construction engineering.

KEYWORDS:

deformation model; highway; rheological parameter; time series deformation

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