A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Characterization of Subgrade Resilient Modulus for Pavement Design
Resilient modulus (Mr) of subgrade soil is a key design parameter in all three hierarchical levels of the new mechanistic-empirical pavement design guide (MEPDG). A successful implementation of the MEPGD requires a comprehensive Mr database for local subgrade soils and its assessment to determine desired input parameters. To this end, a database containing subgrade Mr, index properties, standard Proctor, and unconfined compressive strengths for 713 soil samples from 39 different counties in Oklahoma was developed. The Mr data was randomly divided into two datasets: (i) a "development" dataset to develop statistical models, and (ii) a "evaluation" dataset to validate these models. A total of five stress-based regression models were evaluated using a statistical software ("SPSS"; Version 17), and pertinent material constants (k1, k2 and k3) were determined for these soils categorized in accordance with the AASHTO classifications. The goodness of fit and the significance of these models were ranked with respect to their R2 and F values, respectively; the MEPDG recommended octahedral stress-based model was found to outperform the others. Furthermore, reasonably good correlations of material constants along with Mr with routine soil properties were established. The findings of this study are expected to help the implementation of the MEPDG in Oklahoma.
Characterization of Subgrade Resilient Modulus for Pavement Design
Resilient modulus (Mr) of subgrade soil is a key design parameter in all three hierarchical levels of the new mechanistic-empirical pavement design guide (MEPDG). A successful implementation of the MEPGD requires a comprehensive Mr database for local subgrade soils and its assessment to determine desired input parameters. To this end, a database containing subgrade Mr, index properties, standard Proctor, and unconfined compressive strengths for 713 soil samples from 39 different counties in Oklahoma was developed. The Mr data was randomly divided into two datasets: (i) a "development" dataset to develop statistical models, and (ii) a "evaluation" dataset to validate these models. A total of five stress-based regression models were evaluated using a statistical software ("SPSS"; Version 17), and pertinent material constants (k1, k2 and k3) were determined for these soils categorized in accordance with the AASHTO classifications. The goodness of fit and the significance of these models were ranked with respect to their R2 and F values, respectively; the MEPDG recommended octahedral stress-based model was found to outperform the others. Furthermore, reasonably good correlations of material constants along with Mr with routine soil properties were established. The findings of this study are expected to help the implementation of the MEPDG in Oklahoma.
Characterization of Subgrade Resilient Modulus for Pavement Design
Hossain, Z. (author) / Zaman, M. (author) / Doiron, C. (author) / Solanki, P. (author)
Geo-Frontiers Congress 2011 ; 2011 ; Dallas, Texas, United States
Geo-Frontiers 2011 ; 4823-4832
2011-03-11
Conference paper
Electronic Resource
English
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