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Type of Document Master's Thesis Author Gudishala, Ravindra Author's Email Address rgudis1@lsu.edu URN etd-11112004-161757 Title Development of Resilient Modulus Prediction Models for Base and Subgrade Pavement Layers from in Situ Devices Test Results Degree Master of Science in Civil Engineering (M.S.C.E.) Department Civil & Environmental Engineering Advisory Committee
Advisor Name Title Louay N. Mohammad Committee Chair John B. Metcalf Committee Member Murad Abu-Farsakh Committee Member Keywords
- resilient modulus
- granular materials
- cohesive materials
- prediction models
Date of Defense 2004-10-22 Availability unrestricted Abstract Currently, the design of flexible pavements is generally conducted based on static properties such as California Bearing Ratio and soil support value. These properties do not represent the actual response of the pavement layers under traffic loadings. Recognizing this deficiency, the current and the 2002 mechanistic –empirical guide for design of pavement structures recommended the use of resilient modulus for characterizing the base and subgrade soil and for the design of flexible pavements. The objective of this study was to develop models to estimate the resilient modulus of base and subgrade soils from in situ test devices. Two types of cohesive soils and three types of granular soils commonly used in Louisiana were considered. Three types of in situ devices Geogauge, Light Falling Weight Deflectometer, Dynamic Cone Penetrometer and a laboratory repeated triaxial test were conducted on the soil types evaluated at various moisture content and dry density combinations. Statistical models for predicting the resilient modulus were developed based on the field and laboratory test results. These models correlate the resilient modulus to the in-situ test devices test results and basic soil properties. Good agreement was observed between predicted and measured values of the resilient modulus from the laboratory triaxial test.Files
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