期刊
CONSTRUCTION AND BUILDING MATERIALS
卷 128, 期 -, 页码 461-470出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2016.09.143
关键词
Hot-mix asphalt (HMA); Compressive Dynamic Modulus (CDM); Tensile Dynamic Modulus (TDM); HMA-Stresses and strains responses; Dynamic Modulus Test Temperature; Dynamic Modulus Test Loading Frequency; Relative accuracy; Line of equality
资金
- NYDoT
For resource optimization and time constraints, it is often desired to estimate and predict certain material properties of hot-mix asphalt (HMA) from a known set of existing data, generated either through laboratory or field testing; typically for the purposes of design and/or analysis. This laboratory study was undertaken to explore and investigate the relationships between the Compressive Dynamic Modulus (CDM) and Tensile Dynamic Modulus (TDM) properties of HMA based on mixes typically used in the State of New York (USA). The second objective of the study was to establish and formulate generalized statistical TDM-CDM models that could closely predict the HMA tensile dynamic modulus (TDM) from known compressive dynamic modulus (CDM) data from laboratory experimentation. Twelve different mixes of HMA were tested to determine the CDM and TDM parallel to the direction of compaction and TDM perpendicular to the direction of compaction. Two replicates were tested for each mix at different temperatures (namely 10 degrees C, 20 degrees C, 30 degrees C, and 35 degrees C) and loading frequencies (namely 25 Hz, 10 Hz, 5 Hz and 1 Hz). The corresponding laboratory test results were then used to develop statistical models that related CDM and TDM at the individual test temperatures and all the test temperatures combined. Overall, the study found that the CDM versus TDM correlation at each temperature level improved with increasing temperature from fair to good, with a correlation coefficient (R-2) ranging from 50% to 89%; whereas the correlation at all the test temperatures combined was found to be relatively strong with an R-2 value above 90%. For the mixes evaluated and the test conditions considered, the formulated models were successfully validated through statistical comparisons of the laboratory measured and the predicted TDM values. (C) 2016 Elsevier Ltd. All rights reserved.
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