2012
DOI: 10.1016/j.conbuildmat.2012.04.035
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Analysis of moisture damage susceptibility of warm mix asphalt (WMA) mixtures based on Dynamic Mechanical Analyzer (DMA) testing and a fracture mechanics model

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Cited by 52 publications
(23 citation statements)
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“…This indicates that after the addition of organic additives, moisture damage can be more severe. In fact, previous studies have shown that asphalt mixes containing organic additives have a greater moisture susceptibility than the conventional asphalt mix [30]. This is due to the hydrophobic characteristics of organic additives.…”
Section: Adhesion Of Asphalt-aggregatementioning
confidence: 91%
“…This indicates that after the addition of organic additives, moisture damage can be more severe. In fact, previous studies have shown that asphalt mixes containing organic additives have a greater moisture susceptibility than the conventional asphalt mix [30]. This is due to the hydrophobic characteristics of organic additives.…”
Section: Adhesion Of Asphalt-aggregatementioning
confidence: 91%
“…The model has also been successfully applied to evaluate moisture damage in these fine (Caro et al, 2012(Caro et al, , 2008Gudipudi & Underwood, 2015;Tong et al, 2013Tong et al, , 2015. The model is based on the cumulative fatigue-related damage that the asphalt mixture experiences throughout its service life.…”
Section: Analytical Non-linear Viscoelastic Model For Characterising mentioning
confidence: 99%
“…Information from this test was used to: (1) identify thresholds at which the material transits from a non-linear response to a damage zone -which provides the GR value included in Equation 6 -that is specific for each mixture, and (2) to define a threshold strain level that was able to generate damage in the material for further fatigue characterisation. (Caro et al, 2012, 2006Montepara et al, 2011) and it consists of applying a cyclic loading condition under a constant shear . However, within the 4 hours tests, the RAP materials did not exhibit full failure, so the parameter Nf was replaced by the number of cycles at which G* decreased a certain amount.…”
Section: δR(n) In Equationmentioning
confidence: 99%
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