Development of dynamic modulus master curves of in-service asphalt layers using MEPDG models

被引:21
|
作者
Solatifar, Nader [1 ]
Kavussi, Amir [2 ]
Abbasghorbani, Mojtaba [3 ]
Katicha, Samer W. [4 ]
机构
[1] Urmia Univ, Dept Civil Engn, Orumiyeh, Iran
[2] Tarbiat Modares Univ, Fac Civil & Environm Engn, Tehran, Iran
[3] Tech & Soil Mech Lab, Consultant Engn Off, Tehran, Iran
[4] Virginia Polytech Inst & State Univ, Virginia Tech Transportat Inst, Ctr Sustainable Transportat Infrastruct, Blacksburg, VA 24061 USA
关键词
asphalt dynamic modulus; MEPDG; NCHRP 1-37A (Witczak) model; NCHRP 1-40D (Modified Witczak) model; FWD; hot climate areas; RESILIENT MODULUS; PREDICTIVE MODELS; CONCRETE; PERFORMANCE; MIXTURES;
D O I
10.1080/14680629.2017.1380688
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The new mechanistic-empirical pavement design guide (MEPDG) uses a combination of field and laboratory tests for structural analysis of in-service pavements. In this guide, asphalt dynamic modulus (|E*|) is one of the most important parameters used in flexible pavement design and rehabilitation approaches. This paper evaluates the validity of dynamic modulus models used in MEPDG for in-service asphalt pavements. For this purpose, nine asphalt pavement sites with various structural, ages and conditions were selected in Khuzestan and Kerman provinces in southern regions in Iran. At each site, falling weight deflectometer data, resilient modulus (determined from the cored samples) and surface condition data were collected. These three sets of data are necessary to compute damages at input levels of 1, 2 and 3 in MEPDG, respectively. Core samples were extracted, and mix volumetric properties as well as their binder characteristics were determined. Viscosity-based NCHRP 1-37A (Witczak) and G*-based NCHRP 1-40D (Modified Witczak) dynamic modulus predictive models were incorporated into these three input levels and six combinations of in situ |E*| master curves were developed. Analysis of the results indicates a weak correlation between field backcalculated moduli and those measured in laboratory. Hence, application of both field and laboratory moduli is not necessarily a good approach to determine damages, and the MEPDG proposed method would better be modified. Validation of MEPDG models showed that the NCHRP 1-37A model predicts dynamic modulus master curves with lower errors rather than the NCHRP 1-40D model. In addition, using the NCHRP 1-37A model at input level 1 would be a better approach among the others to evaluate both new and rehabilitated asphalt layers. Results will also be useful for local agencies in implementation of American Association of State Highway and Transportation Officials (AASHTO)mechanistic-empirical pavement design procedure in various climatic conditions.
引用
收藏
页码:225 / 243
页数:19
相关论文
共 50 条
  • [41] Practical procedure for developing dynamic modulus master curves for pavement structural design
    Bonaquist, R
    Christensen, DW
    BITUMINOUS PAVING MIXTURES 2005, 2005, (1929): : 208 - 217
  • [42] Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves
    Li, Chuangmin
    Ning, Fanbo
    Li, Yuanyuan
    FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING, 2019, 13 (04) : 918 - 925
  • [43] Effect of carbon black on the dynamic moduli of asphalt mixtures and its master curves
    Chuangmin Li
    Fanbo Ning
    Yuanyuan Li
    Frontiers of Structural and Civil Engineering, 2019, 13 : 918 - 925
  • [44] Evaluating in-service asphalt concrete damage using surface waves
    Barnes, Christopher L.
    Trottier, Jean-Francois
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2010, 11 (06) : 449 - 458
  • [45] Dynamic modulus test and master curve analysis of asphalt mix with trapezoid beam method
    Huang, You
    Wang, Xudong
    Liu, Zhaohui
    Li, Sheng
    ROAD MATERIALS AND PAVEMENT DESIGN, 2017, 18 : 281 - 291
  • [46] Asphalt concrete master curve using dynamic backcalculation
    Bazi, Gabriel
    Assi, Tatiana Bou
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2022, 23 (01) : 95 - 106
  • [47] The use of the UNIBAS-MPT triaxial press in the definition of the master curves of the complex modulus of asphalt concrete
    Ciampa, D.
    Olita, S.
    ADVANCED CHARACTERISATION OF PAVEMENT SOIL ENGINEERING MATERIALS, VOLS 1 AND 2, 2007, : 195 - 203
  • [48] Development of Artificial Neural Networks Based Predictive Models for Dynamic Modulus of Airfield Pavement Asphalt Mixtures
    Kaya, Orhan
    Garg, Navneet
    Ceylan, Halil
    Kim, Sunghwan
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2018: AIRFIELD AND HIGHWAY PAVEMENTS, 2018, : 1 - 7
  • [49] Development of distress progression models using panel data sets of in-service pavements
    Madanat, S
    Shin, HC
    PAVEMENT MANAGEMENT AND MONITORING OF TRAFFIC AND PAVEMENTS, 1998, (1643): : 20 - 24
  • [50] Evaluation of ANN-Based Dynamic Modulus Models of Asphalt Mixtures
    Barugahare, Javilla
    Amirkhanian, Armen N.
    Xiao, Feipeng
    Amirkhanian, Serji N.
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2021, 33 (06)