| Highway engineering has strong effect of pavement overlay In the highway engineering Inarid and semi arid region of XinJiang,With pavement subgrade moisture content not freeevaporation, resulting in roadbed moisture accumulation and damp. Humidity for subgrademechanical performance has significant influence,the subgrade engineering characteristic willbe bad. to research subgrade humidity status change law is of great significancein In Arid andsemi arid region.Through a lot of investigation on subgarade balance moisture of XinJiang highway,Analysis of subgrade humidity source, influence factors and changing characteristics,influence of subgrade humidity status of the most important factors: Climatic conditions,groundwater level and soil types. In the Xinjiang area influence of pavement overlay effectfactors is climate factors.Relying on a large number of test project acquisition based on data analysis, in-depthanalysis of mechanism, on the existing road pavement overlay effect under subgrade moisturecontent changes were studied through the analysis of roadbed; temperature, humidity and time,temperature, humidity and the depth of the subgrade, subgrade humidity were studied thetemporal and spatial variation rule, and return from various regions of roadbed work areahumidity with seasonal changes, as well as the embankment and subgrade height relationshipof humidity. By using soil water characteristic curve theory and matrix suction predictionmodel on different soil subgrade humidity group balance estimate, and gives differenthumidity condition types of typical soil roadbed balance moisture recommended values.This article based on the Xinjiang area three subgrade soil resilient modulus of indoorsmall bearing plate method test results, analyses the influences of water content, degree ofcompaction and the properties of the material on the rebound modulus influence rule, and theestablishment of the water content, degree of compaction and the properties of the material asindependent variable modulus of resilience experience prediction formula. |