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Frontiers of Structural and Civil Engineering

Front. Struct. Civ. Eng.    2019, Vol. 13 Issue (4) : 918-925     https://doi.org/10.1007/s11709-019-0526-6
RESEARCH ARTICLE
Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves
Chuangmin LI1,2, Fanbo NING1,2, Yuanyuan LI1,3()
1. Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province, Changsha University of Science & Technology, Changsha 410114, China
2. School of Traffic and Transportation Engineering, Changsha University of Science &Technology, Changsha 410114, China
3. State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, China
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Abstract

Modulus is one of the main parameters during the design of asphalt pavement structure, the newest specifications of China gives the dynamic moduli ranges of commonly used asphalt mixtures with base asphalt (BA) or styrene-butadiene-styrene modified asphalt (SBS MA), while the moduli ranges of mixtures with carbon black modified asphalt (CB MA) are not recommended. To investigate the CB effect on the dynamic moduli of CB MA mixtures, one commonly used asphalt mixture (AC-20) was designed with BA, SBS MA, and CB MA, respectively. Then, the uniaxial compression dynamic modulus tests were conducted at different temperatures and loading frequencies, the master curves of asphalt mixtures were analyzed based on the time-temperature equivalence principle. The results show that with increasing loading frequency, the temperature dependence of dynamic moduli of all asphalt mixtures tend to be less obvious. Both SBS and CB can decrease the temperature sensitivity of asphalt mixture, the SBS MA mixture has the lowest temperature sensitivity, followed by CB MA and BA mixture. In addition, CB and SBS can obviously improve the dynamic modulus of the BA mixture, enhance the anti-deformation performance of pavement structure, and the improvement effect of CB is almost the same with SBS.

Keywords dynamic modulus      carbon black      master curve      modified asphalt      asphalt mixture     
Corresponding Authors: Yuanyuan LI   
Just Accepted Date: 11 March 2019   Online First Date: 26 April 2019    Issue Date: 10 July 2019
 Cite this article:   
Chuangmin LI,Fanbo NING,Yuanyuan LI. Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves[J]. Front. Struct. Civ. Eng., 2019, 13(4): 918-925.
 URL:  
http://journal.hep.com.cn/fsce/EN/10.1007/s11709-019-0526-6
http://journal.hep.com.cn/fsce/EN/Y2019/V13/I4/918
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Chuangmin LI
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technical information units asphalt binder methods
BA SBS MA CB MA
penetration (25 °C, 100 g, 5 s) 0.1 mm 70.3 52.1 59.4 ASTM D5 [16]
softening point °C 47.5 68.4 50.4 ASTM D36 [17]
ductility cm 45.0 47.2 18.7 ASTM D113 [18]
Tab.1  Technical information of asphalt binders
technical information units results
chemical data PH value - 6.5
45µm mesh ppm 68
heating loss - 2.4%
tensile properties
(145 °C,30min)
elongation at break - 565.2%
tensile strength MPa 25.8
Tab.2  Technical information of TPCB
aggregate technical information results
coarse aggregate crushed stone value 14.8%
Los Angeles abrasion loss 21.6%
percentage passing 0.075mm sieve by washed-sieve analysis 0.19%
soundness 11%
water absorption 1.5%
polished stone value 44.8%
affinity grade with asphalt 4 grade
fine aggregate clay content (percentage passing 0.075mm sieve) 1.2%
soundness 12%
sand equivalent value 60.6%
Tab.3  Technical information of aggregate
Fig.1  Aggregate grading of AC-20 asphalt mixture
asphalt binder optimum oil aggregate ratio
BA 4.0%
SBS MA 4.1%
CB 4.2%
Tab.4  Oil aggregate ratio of asphalt mixtures
asphalt binder bulk specific gravity percent air voids voids in mineral aggregate voids filled with asphalt Marshall stability flow value
mean value
(kN)
CV mean value
(mm)
CV
CB 2.573 3.6% 14.3% 74.8% 10.66 13.2% 4.0 20.9%
SBS MA 2.569 3.7% 13.9% 73.4% 10.97 14.9% 3.8 22.9%
BA 2.570 3.8% 14.0% 72.9% 9.96 12.5% 3.5 24.1%
requirement - 3%–5% - 65%–75% ≥8 - 2–4 -
Tab.5  Volume parameters of asphalt mixtures
Fig.2  Relationship of the dynamic modulus versus loading frequency of BA mixture
Fig.3  Relationship of the dynamic modulus versus loading frequency of SBS MA mixture
Fig.4  Relationship of the dynamic modulus versus loading frequency of CB MA mixture
asphalt binder |E*|max
(Mpa)
Min
(Mpa)
b g DEa R2 Se/Sy
BA 21893.25 44.920 −1.086 −0.522 178209.5 0.992 0.05
SBS MA 21975.58 61.054 −1.246 −0.472 198827.1 0.997 0.04
CB MA 21715.48 80.680 −1.181 −0.558 192922.2 0.994 0.05
Tab.6  Regression coefficient of master curve equation
Fig.5  Dynamic modulus master curves of AC-20 asphalt mixture at the temperature of 20°C
Fig.6  Time-temperature conversion relationship of three kinds of AC-20 asphalt mixture
1 S Wen, D D L Chung. Effects of carbon black on the thermal, mechanical and electrical properties of pitch-matrix composites. Carbon, 2004, 42(12–13): 2393–2397
https://doi.org/10.1016/j.carbon.2004.04.005
2 P Cong, P Xu, S Chen. Effects of carbon black on the anti aging, rheological and conductive properties of SBS/asphalt/carbon black composites. Construction & Building Materials, 2014, 52(2): 306–313
https://doi.org/10.1016/j.conbuildmat.2013.11.061
3 A K Apeagyei. Laboratory evaluation of antioxidants for asphalt binders. Construction & Building Materials, 2011, 25(1): 47–53
https://doi.org/10.1016/j.conbuildmat.2010.06.058
4 T Park, C W Lovell. Using Pyrolized Carbon Black (PCB) from Waste Tires in Asphalt Pavement (Part 1, Limestone Aggregate). FHWA/IN/JHRP-95/10 Final Report, 1996
22 C Li, Z Fan, S Wu, Y Li, Y Gan, A Zhang. Effect of carbon black nanoparticles from the pyrolysis of discarded tires on the performance of asphalt and its mixtures. Applied Sciences, 2018, 8(4): 624
https://doi.org/10.1061/(ASCE)MT.1943-5533.0000184
5 F Xiao, A N Amirkhanian, S N Amirkhanian. Influence of carbon nanoparticles on the rheological characteristics of short-term aged asphalt binders. Journal of Materials in Civil Engineering, 2011, 23(4): 423–431
https://doi.org/10.1061/(ASCE)MT.1943-5533.0000184
6 P Rajbongshi. Comparative study on temperature stresses in asphalt material using nonlinear viscoelastic approach. Journal of Transportation Engineering, 2011, 137(10): 717–722
https://doi.org/10.1061/(ASCE)TE.1943-5436.0000261
7 S Im, T You, H Ban, Y Kim. Multiscale testing-analysis of asphaltic materials considering viscoelastic and viscoplastic deformation. International Journal of Pavement Engineering, 2017, 18(9): 783–797
https://doi.org/10.1080/10298436.2015.1066002
8 M T Weldegiorgis, R A Tarefder. Laboratory investigation of asphalt concrete dynamic modulus testing on the criteria of meeting linear viscoelastic requirements. Road Materials and Pavement Design, 2014, 15(3): 554–573
https://doi.org/10.1080/14680629.2014.908134
9 R Luo, H Liu. Erratum for “Improving the accuracy of dynamic modulus master curves of asphalt mixtures constructed using uniaxial compressive creep tests” by Rong Luo and Hanqi Liu. Journal of Materials in Civil Engineering, 2017, 29(10): 08217001
https://doi.org/10.1061/(ASCE)MT.1943-5533.0002038
10 Y Zhao, L Bai, H Liu. Implementation of triaxial dynamic modulus master curve in finite element modeling of asphalt pavements. Journal of Materials in Civil Engineering, 2014, 26(3): 491–498
https://doi.org/10.1061/(ASCE)MT.1943-5533.0000823
11 S W Goh, Z You, R C Williams, X Li. Preliminary dynamic modulus criteria of HMA for field rutting of asphalt pavements: Michigan’s experience. Journal of Transportation Engineering, 2011, 137(1): 37–45
https://doi.org/10.1061/(ASCE)TE.1943-5436.0000191
12 H Zhu, L Sun, J Yang, Z Chen, W Gu. Developing master curves and predicting dynamic modulus of polymer-modified asphalt mixtures. Journal of Materials in Civil Engineering, 2011, 23(2): 131–137
https://doi.org/10.1061/(ASCE)MT.1943-5533.0000145
13 T O Medani, M Huurman, A A A Molenaar. On the computation of mater curves for bituminous mixes. Nature Methods, 2004, 11(5): 572–578
14 A K Apeagyei, B K Diefenderfer, S D Diefenderfer. Development of dynamic modulus master curves for hot-mix asphalt with abbreviated testing temperatures. International Journal of Pavement Engineering, 2012, 13(2): 98–109
https://doi.org/10.1080/10298436.2011.566612
15 P E Sebaaly, E Y Hajj, T Sathanathan, S Shivakolunthar. A comprehensive evaluation of moisture damage of asphalt concrete mixtures. International Journal of Pavement Engineering, 2017, 18(2): 169–182
https://doi.org/10.1080/10298436.2015.1065404
16 D. ASTM. Standard test method for penetration of bituminous materials. Annual Book of ASTM Standards USA, 1992
17 A Standard. D36. Standard test method for softening point of bitumen (ring-and-ball apparatus). ASTM International, West Conshohocken. USA, 2009
18 Statements B. Standard Test Method for Ductility of Bituminous Materials 1, Designation: D113-99, 1999
19 L Roberts, P Romero, K Vanfrank, R Ferrin. Evaluation of the asphalt mixture performance tester (AMPT): Utah Experience. Transportation Research Record: Journal of the Transportation Research Board, 2012, 2296(1): 69–76
https://doi.org/10.3141/2296-07
20 G Liu, G Leegwater, E Nielsen, J Komacka, M V D Ven. Evaluating the rheological properties of PMB-containing RA binders from surface-layer asphalt mixtures to be recycled. Construction & Building Materials, 2013, 49(6): 8–14
https://doi.org/10.1016/j.conbuildmat.2013.08.012
21 W Buttlar, R Roque, B Reid. Automated procedure for generation of creep compliance master curve for asphalt mixtures. Transportation Research Record: Journal of the Transportation Research Board, 1998, 1630(1): 28–36
https://doi.org/10.3141/1630-04
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