TY - GEN
T1 - Particle shape, type and amount of fines, and moisture affecting resilient modulus behavior of unbound aggregates
AU - Mishra, Debakanta
AU - Tutumluer, Erol
AU - Xiao, Yuanjie
PY - 2010
Y1 - 2010
N2 - This paper presents the application of Analysis of Variance (ANOVA) approach to study effects of different aggregate properties on the resilient modulus behavior of unbound aggregates. In a recent research project at the University of Illinois, stress-dependent resilient modulus characterization models, in the form proposed for use by the Mechanistic Empirical Pavement Design Guide (MEPDG), were established for three different aggregate types (dolomite, limestone, and uncrushed gravel) using a statistically well-formulated laboratory test matrix. Such a consistent database enabled the evaluation of the model parameter dependence on different aggregate properties, such as particle shape, type and amount of fines, and moisture condition, using the Analysis of Variance (ANOVA) approach. From the statistical analyses, aggregate particle type or angularity was found to have a significant effect on the resilient moduli. At low fines content, the type of fines and moisture state in relation to optimum moisture condition were found to be somewhat insignificant as far as the regression parameter values are concerned. The effect of amount of fines became quite significant especially when the amount of fines was increased.
AB - This paper presents the application of Analysis of Variance (ANOVA) approach to study effects of different aggregate properties on the resilient modulus behavior of unbound aggregates. In a recent research project at the University of Illinois, stress-dependent resilient modulus characterization models, in the form proposed for use by the Mechanistic Empirical Pavement Design Guide (MEPDG), were established for three different aggregate types (dolomite, limestone, and uncrushed gravel) using a statistically well-formulated laboratory test matrix. Such a consistent database enabled the evaluation of the model parameter dependence on different aggregate properties, such as particle shape, type and amount of fines, and moisture condition, using the Analysis of Variance (ANOVA) approach. From the statistical analyses, aggregate particle type or angularity was found to have a significant effect on the resilient moduli. At low fines content, the type of fines and moisture state in relation to optimum moisture condition were found to be somewhat insignificant as far as the regression parameter values are concerned. The effect of amount of fines became quite significant especially when the amount of fines was increased.
KW - Aggregates
KW - Moisture
KW - Resilient modulus
UR - http://www.scopus.com/inward/record.url?scp=77956111190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956111190&partnerID=8YFLogxK
U2 - 10.1061/41104(377)34
DO - 10.1061/41104(377)34
M3 - Conference contribution
AN - SCOPUS:77956111190
SN - 9780784411049
T3 - Geotechnical Special Publication
SP - 279
EP - 287
BT - Paving Materials and Pavement Analysis - Proceedings of the 2010 GeoShanghai International Conference
T2 - 2010 GeoShanghai International Conference - Paving Materials and Pavement Analysis
Y2 - 3 June 2010 through 5 June 2010
ER -