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Predictive Model for Nonlinear Resilient Modulus of Emulsified Asphalt Treated Base
Emulsified asphalt treated base (EATB) is a cold mixture of emulsified asphalt (emulsion) and granular material. The resilient modulus (MR) of EATB is an essential parameter for both material evaluation and pavement design. Triaxial tests can be used to measure MR and capture its nonlinear property affected by the stress state. However, such complicated test is not available for most routine practices. In this study, triaxial tests were conducted to measure MR of EATB at different stress states. The effects of influencing factors, such as residual binder contents, aggregate property, dry density and temperature, on resilient property of EATB were also investigated. The nonlinear predictive models were further developed based on the modified universal soil model and all factors and interactions among them were incorporated.
Predictive Model for Nonlinear Resilient Modulus of Emulsified Asphalt Treated Base
Emulsified asphalt treated base (EATB) is a cold mixture of emulsified asphalt (emulsion) and granular material. The resilient modulus (MR) of EATB is an essential parameter for both material evaluation and pavement design. Triaxial tests can be used to measure MR and capture its nonlinear property affected by the stress state. However, such complicated test is not available for most routine practices. In this study, triaxial tests were conducted to measure MR of EATB at different stress states. The effects of influencing factors, such as residual binder contents, aggregate property, dry density and temperature, on resilient property of EATB were also investigated. The nonlinear predictive models were further developed based on the modified universal soil model and all factors and interactions among them were incorporated.
Predictive Model for Nonlinear Resilient Modulus of Emulsified Asphalt Treated Base
Li, Peng (Autor:in) / Liu, Juanyu (Autor:in)
Geo-Shanghai 2014 ; 2014 ; Shanghai, China
05.05.2014
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Predictive Model for Nonlinear Resilient Modulus of Emulsified Asphalt Treated Base
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