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Resilient Modulus Predictive Model for Unbound Pavement Materials
Data from 96 resilient modulus laboratory tests on four base materials and four subgrade soils was used to develop a predictive model capable of estimating changes in resilient modulus as a function of changes in the state of stress, moisture and density. Test specimens were compacted at optimum moisture/density conditions and then dried or soaked to various moisture conditions. Both standard and modified compactive efforts were used. Plastic, subgrade-type soils were especially affected by moisture. Non-plastic, base-type materials were more sensitive to changes in the state of stress.
Resilient Modulus Predictive Model for Unbound Pavement Materials
Data from 96 resilient modulus laboratory tests on four base materials and four subgrade soils was used to develop a predictive model capable of estimating changes in resilient modulus as a function of changes in the state of stress, moisture and density. Test specimens were compacted at optimum moisture/density conditions and then dried or soaked to various moisture conditions. Both standard and modified compactive efforts were used. Plastic, subgrade-type soils were especially affected by moisture. Non-plastic, base-type materials were more sensitive to changes in the state of stress.
Resilient Modulus Predictive Model for Unbound Pavement Materials
Andrei, Dragos (author) / Witczak, Matthew W. (author) / Houston, William N. (author)
International Foundation Congress and Equipment Expo 2009 ; 2009 ; Orlando, Florida, United States
2009-03-10
Conference paper
Electronic Resource
English
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