A Study of Superpave Design Gyrations for High Traffic Surface Mixtures
DOI:
https://doi.org/10.31643/2023/6445.38Keywords:
Relative performance; Asphalt concrete mixtures; Superpave; Design gyrations; Fatigue cracking; Rutting;Abstract
The methodology of the research that was used to evaluate the comparative results of surface mixes with a nominal maximum aggregate size of 12.5mm is presented in this paper. Also presented are the recommended Ndes values for C-level and D-level mixes, which are designed to handle traffic levels of 3-30 Million and greater than 30 Million ESALs, respectively. In order to determine the amount of asphalt that was present, asphalt concrete mixes were fabricated utilizing the Superpave design process at Ndes levels of 50, 75, 100, and 125 gyrations. Using the Asphalt Mixture Performance Tester instrument, we were able to determine the dynamic modulus (E*) at the design asphalt content for a number of different gyration levels. The E* data and related binder properties were used as input in the AASHTO Darwin-ME software to anticipate the rutting and fatigue performance of the mixtures. This was accomplished by assuming a model pavement section and appropriate traffic levels. In order to determine which Ndes are most appropriate, relative performance indicators for rutting and fatigue have been developed and plotted against asphalt content. The Ndes value of 85 gyrations was found to be ideal for both surface mixes after extensive research.
Downloads
References
Prowel BD, Brown ER. Superpave Mix Design: Veryfing Gyration Levels in the Ndeigntable, NCHRP Report 573. National Cooperative Highway Research Program, Washington D.C. 2007.
Hombeck NC. Effect of Compaction Effort on Superpave Surface Course Materials, Masters Thesis. West Virginia University. 2008.
Superpave Mix Design. Asphalt Institute Superpave Series. (SP-2), 3rd Edition, 2013;2.
Performance Graded Asphalt Binder Specification and Testing. Superpave Series No. 1 (SP-1). Third Edition, Asphalt Institute, Inc.,2003: 1-59.
HuberG, Wielinski J, Campbell Ch, Padgett J, Rowe G, Beeson M, Cho S. Superpav5: Relationship of in-place air voids and asphalt binder aging. Asphalt Paving Technology: Association of Asphalt Paving Technologists-Proceedings of the Technical Sessions. 2019;88:183-220.
MirbahaB, AbdiA, ZareiM, and ZareiA."Experimental determination of the optimum percentage of asphalt mixtures reinforced with Nano-carbon black and polyester fiber industries," Engineering Solid Mechanics. 2017;5:285-292.
YingH, ElseifiMA, MohammadLN, and HassanMM."Heterogeneous Finite-Element Modeling of the Dynamic Complex Modulus Test of Asphalt Mixture Using X-ray Computed Tomography," Journal of Materials in Civil Engineering. 2013;26: 04014052.
Aliha M, and Fattahi AmirdehiH."Fracture toughness prediction using Weibull statistical method for asphalt mixtures containing different air void contents," Fatigue & Fracture of Engineering Materials & Structures.2016.
Jong-SubLee, Jin-HwanKim, Oh-SunKwon, Byung-DukLee. Asphalt binder performance grading of North Korea for Super paveasphalt mix-design. International Journal of Pavement Research and Technology. Edition.2018; 11(6):647-654.
DuarteGabriel MacÊdo, Faxina Adalberto Leandro. Low-Temperature and Fatigue Properties of Asphalt Binders Modified with Crumb Rubber from Discarded Tires and Recycled Low-Density Polyethylene. Journal of Materials in Civil Engineering. Edition. 2022; 34(9).
MirsayarM, RazmiA, and BertoF."Tangential strain‐based criteria for mixed‐mode I/II fracture toughness of cement concrete," Fatigue & Fracture of Engineering Materials & Structures. 2018; 41:129-137.
Tutu KA, Ntramah S, Tuffour YA. Superpave performance graded asphalt binder selection for asphalt mixture design in Ghana. Scientific African. 2022; 17. https://doi.org/10.1016/j.sciaf.2022.e01348
Da SilvaTO,Pitanga HN, Rodrigues MHR,Rezende JP,Marques GL. Study of the mechanicalbehavior of asphalt mixtures in terms of creep andSuperpavecompaction parameters. Acta Scientiarum –Technology.2022;16. https://doi.org/10.4025/actascitechnol.v45i1.60212
Razmi A, and MirsayarM."Fracture resistance of asphalt concrete modified with crumb rubber at low temperatures," International Journal of Pavement Research and Technology.2017.
MirsayarM."On the low temperature mixed mode fracture analysis of asphalt binder–Theories and experiments," Engineering Fracture Mechanics. 2017; 186:181-194.
AlihaM, FazaeliH, AghajaniS, and NejadFM."Effect of temperature and air void on mixed mode fracture toughness of modified asphalt mixtures," Construction and Building Materials.2015; 95:545-555.
GaoY,Hou K, Jia Y,Wei Z,Wang S,Li Z,Ding F,Gong X. Variability evaluation of gradation for asphalt mixture in asphalt pavement construction. Autom. Constr. 2021;128:103742.
Yue Y,Abdelsalam M,Khater A, Ghazy M. A comparative life cycle assessment of asphalt mixtures modified with a novel composite of diatomite powder and lignin fiber. Constr. Build. Mater. 2022; 323:126608.
Khater A,Luo D,Abdelsalam M,Yue Y,Hou Y,Ghazy M. Laboratory evaluation of asphaltmixture performance using composite admixtures of lignin and glass fibers. Appl. Sci.2021; 11:364.
Lv Q,Huang W,Zheng M,Sadek H,Zhang Y,Yan C. Influence of gradation on asphalt mix rutting resistance measured by Hamburg Wheel Tracking test. Constr. Build. Mater. 2020; 238:117674.
Zhang Y,Luo X,Onifade I,Huang X,Lytton RL,Birgisson B. Mechanical evaluation of aggregate gradation to characterize load carrying capacity and rutting resistance of asphalt mixtures. Constr. Build. Mater. 2019;205:499-510.
WangDY,Kan L,Xu C. Evaluation of rutting resistance on asphalt mixturebased on aggregate contact characteristics. South China Univ. Technol. Nat. Sci. Ed. 2012; 40:121-126.
Husain NM,Karim MR,Mahmud HB,Koting S. Effects of aggregate gradation on the physical properties of semiflexible pavement. Adv. Mater. Sci. Eng. 2014, 529305.
Moghaddam TB,Mohamed RK,Mahrez A. A review on fatigue and rutting performance of asphalt mixes. Sci. Res. Essays. 2011;6:670-682.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Kosparmakova, S., Azlan, M., & Fischer, D.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported License.