Long-Term Cross-Slope Variation in Highways Built on Soft Soil under Coupling Action of Traffic Load and Consolidation

Miao Jia, Jinliang Xu (), Chao Gao, Minghao Mu and Guangxun E
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Miao Jia: School of Highway, Chang ’an University, Xi’an 710064, China
Jinliang Xu: School of Highway, Chang ’an University, Xi’an 710064, China
Chao Gao: School of Highway, Chang ’an University, Xi’an 710064, China
Minghao Mu: Innovation Research Institute of Shandong High-Speed Group, Jinan 250000, China
Guangxun E: Shandong Hi-Speed Group Co., Ltd., Jinan 250000, China

Sustainability, 2022, vol. 15, issue 1, 1-14

Abstract: The variation in road cross slope with service life affects the pavement drainage and has an adverse effect on vehicle operation safety. This paper describes a cross-slope variation prediction method influenced by the coupling effect of traffic load and soil consolidation, considering characteristics of embankment to cover the shortage for insufficient consideration of compacted embankment. First, the traffic load-induced settlement equation of a highway on soft soil foundation was introduced, which considers the effects of traffic load stress, confining pressure, soil structure, strength weakening and cyclic loading times on different positions along the cross-section. Then, the finite element model of a highway on soft soil foundations under soil consolidation is established, considering the influence of soil seepage. Finally, predictions of long-term settlement and cross-slope variation generated by coupling action of traffic load and soil consolidation were carried out with contrastive analysis with measured data. We find the following: (1) the long-term settlement was mostly from the consolidation of natural soft subsoil, while the cross-slope variation was mainly affected by traffic load; (2) variation in the cross slope of highway in soft soil areas mainly occurs within 1 year of operation. The effect of passenger cars and trucks on cross-slope variation shows diametrically opposite results, as the passenger car lane decreases while the truck lane increases; (3) the relative error of the cross-slope variation prediction results with the measured data are 2.86% and 2.5% for the left and right lane cross slopes, respectively.

Keywords: soil deformation; cross-slope variation; traffic load; consolidation; numerical calculation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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