2020
DOI: 10.1155/2020/4840825
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Performance Evaluation of Crumb Rubber Asphalt Modified with Silicone‐Based Warm Mix Additives

Abstract: This research was conducted to elucidate better understanding of the performance of crumb rubber asphalt modified with silicone-based warm mix additives. Two different silicone-based warm mix asphalt (WMA) additives (herein Tego XP and Addibit) were used to prepare crumb rubber modified (CRM) warm mix asphalt binders. The viscosity of these CRM binders was measured at different temperatures and shearing rates. Furthermore, softening point and penetration tests, Multiple Stress Creep Recovery (MSCR), Time Sweep… Show more

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Cited by 16 publications
(11 citation statements)
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“…Other researchers suggest that countries with warm climates are ideal for WMA-CR-modified binders [ 62 ]. WMA alters the properties of the microstructure of the binder, which can be related to the increase in the surface roughness of the pavement [ 63 ].…”
Section: Introductionmentioning
confidence: 99%
“…Other researchers suggest that countries with warm climates are ideal for WMA-CR-modified binders [ 62 ]. WMA alters the properties of the microstructure of the binder, which can be related to the increase in the surface roughness of the pavement [ 63 ].…”
Section: Introductionmentioning
confidence: 99%
“…There is a relationship between the surface roughness and adhesion properties of bee structures. Researchers have found that the surface roughness of asphalt samples increased with the addition of silicone oil, indicating that silicone oil contributed to the binding of asphalt and CR as well as the continuous and uniform dispersion of rubber particles in asphalt [ 103 ].…”
Section: Afm Data Analysismentioning
confidence: 99%
“…As described in Section 3.2.7, high temperatures ranging from 50 • C to 75 • C, and frequencies ranging from 0.1 to 50 Hz were performed using a 25 mm diameter parallel plate and a 1 mm hole setting out. The Christensen Anderson Marasteanu (CAM) model, and the Williams-Landel-Ferry (WLF) shift factors, represented by Equations (2) and 3, were utilized to fit the complex modulus dataset and develop master curves, as given below and described elsewhere [40,46].…”
Section: Storage Stability Analysismentioning
confidence: 99%