Abstract
This paper aims to disclose the effects of the long-term creep of an expressway slope on project safety. Firstly, the displacements at multiple points of the slope were monitored by multi-point displacement meters. The displacement data were decomposed through time series analysis into a trend term and a period term. A creep fitting model of the slope is proposed by mathematical modeling. Then, the linear function and periodic function were combined to fit the creep curves and predict the long-term creep of the slope. The results show that the combined fitting function has a high accuracy and applies well to the prediction of long-term creep of the slope; the target slope will continue to creep in future and should be reinforced after 40 years into operation. The research results shed new light on the slope safety of expressways.
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28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08472-7
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This article is part of the Topical Collection on Big Data and Intelligent Computing Techniques in Geosciences
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Dong, J., Li, L., Mao, Q. et al. Prediction of long-term creep features of a supported expressway slope. Arab J Geosci 13, 1198 (2020). https://doi.org/10.1007/s12517-020-06231-8
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DOI: https://doi.org/10.1007/s12517-020-06231-8