The soil base of low embankment highways is greatly affected by external changes in temperature and humidity, as well as traffic loads. 41 types of soil bases from operational roads were subjected to dynamic, repeated triaxial tests indoors. Non-linear statistical regression was applied to recalibrate the parameters for the Chai-Muria prediction model for permanent strain. This established the quantitative relationships between permanent deformation of soil bases and the plasticity index, moisture content, compactness, and traffic loads. The quasi-static method was used to convert traffic loads to the equivalent static distributed force exerting long-term repeated effects. Next, the additional dynamic stress that traffic loads imposed on soil bases was computed using the theory of elastic multi-layered systems. The calibrated model for predicting permanent strain and the itemize and layerwise summation method were combined to compute permanent deformation of soil bases under various factors. The results were then used to analyze variations in such deformations and ranking of the factors involved. The findings indicated that permanent deformations had a U-shaped distribution curve and was directly proportional to the plasticity index, moisture content, and traffic load, but inversely proportional to the compactness. The ranking of the factors are: plasticity index > moisture content > excess traffic loads > compactness.
Research on Influencing Factors for Permanent Deformation of Soil Base of Low Embankment Highway
Transportation Research Congress 2016 ; 2016 ; Beijing, China
Transportation Research Congress 2016 ; 364-373
2018-02-06
Conference paper
Electronic Resource
English
LONG-TERM DEFORMATION USED AS INDICATOR REPRESENTATIVE OF HIGHWAY EMBANKMENT ON SOFT FOUNDATION
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