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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

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Front. Struct. Civ. Eng.    2017, Vol. 11 Issue (1) : 1-7    https://doi.org/10.1007/s11709-016-0367-5
RESEARCH ARTICLE
Effect of asphalt thin beams mixed with three nominal maximum aggregate sizes in the bending beam rheometer on the prediction of thermal properties of bituminous material
Chun-Hsing HO(),María Francisca Martínez GONZÁLEZ,Cristina Pilar Martín LINARES
Department of Civil Engineering, Construction Management, and Environmental Engineering, Northern Arizona University, Flagstaff, Arizona 86001, USA
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Abstract

The objective of this research is to evaluate an impact of asphalt mixture beams with varying sizes of aggregate in the Bending Beam Rheometer (BBR) for testing/predicting thermal cracking properties of asphalt pavements. The BBR test has following benefits: the equipment is cheaper, it uses smaller specimens, faster conditioning, easier availability for quality control, easier to manage, etc. However some concerns have been raised: some consider that the size of the aggregate may affect the test’s results; the other concern is that such small beams cannot represent the whole properties of the asphalt pavement. To address these criticisms, imaging techniques, statistical analysis, and viscoelastic modeling are used. Asphalt thin beams prepared with three different nominal maximum aggregate size (NMAS) (12.5mm, 9.5 mm, and 4.75 mm) were tested at three different temperatures (-18°C, -24°C, and -30°C). Based on results from statistical analyses and viscoelasticity, the ratio of asphalt binders and voids and stiffness differences among the three NMAS specimens are not significant, meaning that the impact of asphalt thin beams prepared with the three NMAS on the prediction of thermal cracking is minimal and can be neglected.
Keywords bending beam rheometer      thin beams      thermal cracking     
Corresponding Author(s): Chun-Hsing HO   
Online First Date: 08 December 2016    Issue Date: 27 February 2017
 Cite this article:   
Chun-Hsing HO,María Francisca Martínez GONZÁLEZ,Cristina Pilar Martín LINARES. Effect of asphalt thin beams mixed with three nominal maximum aggregate sizes in the bending beam rheometer on the prediction of thermal properties of bituminous material[J]. Front. Struct. Civ. Eng., 2017, 11(1): 1-7.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-016-0367-5
https://academic.hep.com.cn/fsce/EN/Y2017/V11/I1/1
Fig.1  close view of an asphalt thin beam
gradation sieve size, mm 12.5-mm 9.5-mm 4.75-mm
19 100
12.5 93 100
9.5 83 97.8 100
4.75 60 67.5 93.4
2.36 38 45.2 60.4
1.18 26 32.2 37.3
0.300 14 16.8 19.8
0.075 6.2 6.6 9.0
binder grade PG 64-34
design gyrations Ndes 75
binder content, % Pb 5.2 6.2 6.5
design air voids, % Va 3.6 3.6 3.6
VMA, % 16.6 16.9 17.0
VFA, % 78.3 78.7 78.8
dust proportion 1.3 1.2 1.5
aggregate absorption 0.43
max. specific gravity Gmm 2.431 2.402 2.391
Tab.1  Mix design of three NMAS specimens
NMAS ratio of ABAV, %
12.5mm-1 8.04
12.5mm-2 9.18
9.5mm-1 10.46
9.5mm-2 11.84
4.75mm-1 20.88
4.75mm-2 18.42
Tab.2  Ratios of asphalt binder and air voids (ABAV) in six specimens
Fig.2  Cross sectional image of (a) a NMAS 12.5mm asphalt mixture specimen; (b) a NMAS 9.5 mm asphalt mixture specimen; (c) a NMAS 4.75mm asphalt mixture specimen
Fig.3  Imaging process to isolate asphalt binder and air voids (black) from (a) 12.5mm NMAS solids (white); (b) 9.5mm NMAS solids (white);(c) 4.75mm NMAS solids (white)
Fig.4  Comparison of original and scaled 9.5 NMAS specimen
groups count sum average variance
12.5 mm 3 0.7978 0.265 0.000932
9.5 mm 3 0.8917 0.297 0.000645
4.75 mm 3 0.8648 0.288 0.000321
ANOVA
source of Vari. SS df MS F P-value F crit
between groups 0.0015 2 0.000779 1.231132 0.356446 5.143253
within Groups 0.0037 6 0.000633
total 0.0053 8
Tab.3  ANOVA analysis
Fig.5  Master curve for 4.75 mm (a), 9.50 mm (b), and 12.50 mm (c) NMAS
NMAS D0 D1 n
12.5 mm 3.621E–05 1.571E–05 0.278
9.5 mm 3.083E–05 1.631E–05 0.302
4.25 mm 3.064E–05 1.593E–05 0.287
Tab.4  Parameters of Power law function for three NMAS specimens
Fig.6  Comparison of three relaxation modulus curves
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