Predicting dynamic modulus of asphalt mixtures with differential method

被引:0
作者
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville TN 37996, United States [1 ]
机构
[1] Department of Civil and Environmental Engineering, University of Tennessee
来源
Road Mater. Pavement Des. | 2009年 / 2卷 / 337-359期
关键词
Asphalt mixture; Differential method; Dynamic modulus; Micromechanics; Prediction;
D O I
10.3166/rmpd.10.337-359
中图分类号
学科分类号
摘要
Dynamic modulus (|E*|) is one of the fundamental engineering properties of asphalt mixtures and has been selected as a basic material property input in the new American Association of State Highway and Transportation Officials (AASHTO) Mechanicstic-Empirical (M-E) Design Guide. The M-E design guide either requires the direct laboratory testing for |E*| values or recommends using the Witczak model to estimate |E*| values. While laboratory testing is costly and time-consuming to conduct, the Witczak model is a purely empirical regression model in nature. Micromechanics approach provides another possible access to obtaining |E*| values. In this paper, the differential method was employed to predict the dynamic modulus and phase angle of asphalt mixtures. The predictive models were formulated from the differential method. The major characteristics of asphalt mixtures (viscoelastic effect, aggregate gradation, and air voids) were taken into account in the predicting procedures. Laboratory experiments were conducted to evaluate the developed predictive models. The results show that the predicted |E*| values from some predictive models were favourably close to the measured data, which confirmed the potential applicability of these models to asphalt mixtures. © 2009 Lavoisier, Paris.
引用
收藏
页码:337 / 359
页数:22
相关论文
共 50 条
  • [31] Investigation and Prediction Model for the Dynamic Modulus of Asphalt Emulsion Cold Recycled Mixtures
    Yan, Jinhai
    Zhang, Zhixiang
    Charmot, Stephane
    Ding, Wuyang
    Li, Feng
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2015, 27 (01)
  • [32] Behavior of the Dynamic Modulus and Fatigue in Asphalt Mixtures with Blast Oxygen Furnace Slag and Blast Furnace Dust
    Ochoa, Ricardo
    Lopez, Alfonso
    Grimaldo, Gloria
    PERIODICA POLYTECHNICA-CIVIL ENGINEERING, 2021, 65 (03): : 840 - 851
  • [33] Method to test dynamic modulus of asphalt mixture based on semi-circular specimens
    Liu Y.
    Zhang X.-N.
    Chen S.-X.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2010, 38 (03): : 41 - 46
  • [34] Predicting the dynamic modulus of asphalt mixture using hybridized artificial neural network and grey wolf optimizer
    Golafshani, Emadaldin Mohammadi
    Behnood, Ali
    Karimi, Mohammad M.
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2023, 24 (01)
  • [35] Development of a predictive model for the compressive relaxation modulus of asphalt mixtures
    Forough, Seyed Arash
    Moghadas Nejad, Fereidoon
    Khodaii, Ali
    ROAD MATERIALS AND PAVEMENT DESIGN, 2015, 16 (03) : 674 - 695
  • [36] Micromechanics-based analysis for predicting asphalt concrete modulus
    Zhu, Xing-yi
    Huang, Zhi-yi
    Yang, Zhong-xuan
    Chen, Wei-qiu
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2010, 11 (06): : 415 - 424
  • [37] On the impact of the filler on the complex modulus of asphalt mixtures
    Lesueur, Didier
    Lazaro Blazquez, Marimar
    Andaluz Garcia, Daniel
    Ruiz Rubio, Aurelio
    ROAD MATERIALS AND PAVEMENT DESIGN, 2018, 19 (05) : 1057 - 1071
  • [38] Three-dimensional micromechanical finite element analysis on gauge length dependency of the dynamic modulus of asphalt mixtures
    Wan, Cheng
    Zhang, Xiaoning
    Wang, Linbing
    He, Linfeng
    ROAD MATERIALS AND PAVEMENT DESIGN, 2012, 13 (04) : 769 - 783
  • [39] Dynamic modulus prediction model and analysis of factors influencing asphalt mixtures using gray relational analysis methods
    Zhang, Ming
    Zhao, Han
    Fan, Lulu
    Yi, Junyan
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2022, 19 : 1312 - 1321
  • [40] The Effects of Asphalt Migration on the Dynamic Modulus of Asphalt Mixture
    Wang, Hui
    Zhan, Shihao
    Liu, Guojun
    APPLIED SCIENCES-BASEL, 2019, 9 (13):