2022
DOI: 10.1016/j.conbuildmat.2022.129177
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Incorporating 3D image analysis and response surface method to evaluate the effects of moisture damage on reinforced asphalt mixtures using glass and polypropylene fibers

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Cited by 8 publications
(2 citation statements)
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“…The authors concluded that as the content of polypropylene increases, the tensile strength ratio (TSR) of the warm mix improves. Omaranian et al [ 58 ] reported that the integration of glass and polypropylene fibers at a content of 0.2% by aggregate weight improved the moisture resistance of hot mix asphalt and reduced the cons of freeze and thaw cycles on the performance of the asphalt mix. Al-Badri et al [ 59 ] indicated that the combination of 0.3% steel fibers and 0.1% polypropylene by aggregates weight enhanced the stability and temperature sensitivity of hot mix asphalt.…”
Section: Results and Analysismentioning
confidence: 99%
“…The authors concluded that as the content of polypropylene increases, the tensile strength ratio (TSR) of the warm mix improves. Omaranian et al [ 58 ] reported that the integration of glass and polypropylene fibers at a content of 0.2% by aggregate weight improved the moisture resistance of hot mix asphalt and reduced the cons of freeze and thaw cycles on the performance of the asphalt mix. Al-Badri et al [ 59 ] indicated that the combination of 0.3% steel fibers and 0.1% polypropylene by aggregates weight enhanced the stability and temperature sensitivity of hot mix asphalt.…”
Section: Results and Analysismentioning
confidence: 99%
“…In fact, as early as 2007, Arambula et al [21] used CT technology to analyze the internal void characteristics of asphalt mixture and found that the water stability of asphalt mixture is closely related to the spatial distribution of internal voids. On this basis, Alawneh et al [22] collected nine ray slices at different parts of the asphalt mixture before and after the freeze-thaw cycle to replace the overall internal structure of the sample and used ImageJ software (https://imagej.net/ij/download.html, bundled with 64-bit Java 8) to analyze to evaluate the change law of the internal voids of the sample, Omranian et al [23] converted the CT image into a 3D model and detected the structural failure of the asphalt mixture by the color threshold method. However, although CT technology is well established for analyzing the structural changes of asphalt mixtures after water damage, at present, there is still little CT image analysis for the large number of asphalt mixtures, especially the lack of CT scanning studies of asphalt mixtures based on dynamic water quality testing methods.…”
Section: Introductionmentioning
confidence: 99%