A New Approach for Estimating the Influence of Soil Suction on the Resilient Modulus of Pavement Subgrade Soils

Author(s):  
Zhong Han ◽  
Baudin Mihambanou ◽  
Sai K. Vanapalli
Author(s):  
Shu-Rong Yang ◽  
Wei-Hsing Huang ◽  
Yu-Tsung Tai

The variations of resilient modulus with the postconstruction moisture content and soil suction for cohesive subgrade soils were evaluated. In particular, the effects of relative compaction of the subgrade on the suction and resilient modulus were investigated. To simulate subgrade soils at in-service conditions, soil specimens were compacted at various relative compactions and optimum moisture content and then saturated to equilibrium moisture content to test for resilient modulus and soil suction. The filter paper method was used to measure the total and matric suctions of two cohesive soils. Test findings demonstrated that resilient modulus correlated better with the matric suction than with total suction. Matric suction was found to be a key parameter for predicting the resilient modulus of cohesive subgrade soils. A prediction model incorporating deviator stress and matric suction for subgrade soil resilient modulus was established.


Author(s):  
Andrew G. Heydinger

One objective of the FHWA’s Long-Term Pavement Performance (LTPP) program is to determine climatic effects on pavement performance. The LTPP instrumentation program includes seasonal monitoring program (SMP) instrumentation to monitor the seasonal variations of moisture, temperature, and frost penetration. Findings from the SMP instrumentation are to be incorporated into future pavement design procedures. Data from SMP instrumentation at the Ohio Strategic Highway Research Program Test Road (US-23, Delaware County, Ohio) and other reported results were analyzed to develop empirical equations. General expressions for the seasonal variations of average daily air temperature and variations of temperature and moisture in the fine-grained subgrade soil at the test site are presented. An expression for the seasonal variation of resilient modulus was derived. Average monthly weighting factors that can be used for pavement design were computed. Other factors such as frost penetration, depth of water table, and drainage conditions are discussed.


2020 ◽  
Vol 32 (9) ◽  
pp. 06020011
Author(s):  
Behnam Ghorbani ◽  
Arul Arulrajah ◽  
Guillermo Narsilio ◽  
Suksun Horpibulsuk ◽  
Myint Win Bo

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