2011
DOI: 10.3141/2210-07
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of Predictive Models for Estimating Dynamic Modulus of Hot-Mix Asphalt in Oklahoma

Abstract: Long-term performance of an asphalt pavement depends not only on the material properties but also on the stiffness achieved during compaction. Because the determination of stiffness during construction is not straightforward, a common approach uses predictive models to estimate the dynamic modulus of hot-mix asphalt (HMA) specimens. Four predictive models—the Witczak 1999, Witczak 2006, Hirsch, and Al-Khateeb models—were evaluated for their use in estimating the dynamic modulus of selected HMA mixtures that ar… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
19
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 36 publications
(19 citation statements)
references
References 9 publications
0
19
0
Order By: Relevance
“…Finally, the dynamic modulus master curves at a reference temperature of 21.1°C were constructed based on the timetemperature superposition principle. A sigmoidal function, as shown in the following equation, was used in fitting the master curve (Singh, Zaman, & Commuri, 2011a, 2011b:…”
Section: Dynamic Modulusmentioning
confidence: 99%
“…Finally, the dynamic modulus master curves at a reference temperature of 21.1°C were constructed based on the timetemperature superposition principle. A sigmoidal function, as shown in the following equation, was used in fitting the master curve (Singh, Zaman, & Commuri, 2011a, 2011b:…”
Section: Dynamic Modulusmentioning
confidence: 99%
“…Two main aspects were identified: one that focused on the validity of the implemented performance prediction models and another that focused on data collection methods to predict pavement performance. Previous studies reported that the various models implemented in the MEPDG had certain limitations that were improved through several revisions (4)(5)(6)(7). Other studies by Roberts et al (8) and Kweon and Cottrell, Jr., (9) showed that development of new testing methods and updates of data collection protocols resulted in more accurate MEPDG predictions.…”
mentioning
confidence: 99%
“…For example, at Level 1, the asphalt binder and the HMA are tested in the laboratory to measure dynamic modulus. However, the measurement of dynamic modulus in the laboratory is not always feasible because of the tedious experiments and it may also take several days to develop a single master curve [6]- [8].…”
Section: Introductionmentioning
confidence: 99%
“…Several prediction models are available in the literature for estimating the dynamic modulus of HMA. These models use the volumetric properties of mix, aggregate graduation, loading frequency and viscosity of an asphalt binder to predict dynamics as discussed on literature by [8]- [13]. Dynamic modulus testing characterizes asphalt mixture as a linear viscos-elastic material over a wide range of temperature and loading frequency.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation