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[1] Wang Haopeng, Yang Jun, Zhou Wenzhang, Chen Xianhua, et al. Assessing dynamic modulus propertiesfor typical asphalt mixtures in Jiangsu [J]. Journal of Southeast University (English Edition), 2016, 32 (1): 99-105. [doi:10.3969/j.issn.1003-7985.2016.01.017]
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Assessing dynamic modulus propertiesfor typical asphalt mixtures in Jiangsu()
江苏地区典型沥青混合料动态模量特性评价
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
32
Issue:
2016 1
Page:
99-105
Research Field:
Traffic and Transportation Engineering
Publishing date:
2016-03-20

Info

Title:
Assessing dynamic modulus propertiesfor typical asphalt mixtures in Jiangsu
江苏地区典型沥青混合料动态模量特性评价
Author(s):
Wang Haopeng Yang Jun Zhou Wenzhang Chen Xianhua
School of Transportation, Southeast University, Nanjing 210096, China
王昊鹏 杨军 周文章 陈先华
东南大学交通学院, 南京 210096
Keywords:
dynamic modulus prediction models asphalt pavement Witczak 1-37A Witczak 1-40D mechanistic empirical pavement design guide
动态模量 预测模型 沥青路面 Witczak 1-37A Witczak 1-40D 力学经验设计法
PACS:
U414
DOI:
10.3969/j.issn.1003-7985.2016.01.017
Abstract:
To investigate the validity of two dynamic modulus predictive models(Witczak 1-37A viscosity-based model and Witczak 1-40D shear modulus-based model)in the context of Jiangsu, and evaluate the effect of different mixture design variables(aggregate gradations, binder type, and volumetric properties)on dynamic modulus E*, asphalt mixtures commonly used in the local surface layer, including Sup-13 and AC-13, are prepared in the laboratory and their dynamic modulus E* values are predicted based on the above mentioned models. The corresponding asphalt tests, including viscosity and dynamic shear modulus tests, are also carried out to obtain the prediction model parameters. The test results show that binder type and asphalt content have a significant impact on dynamic modulus. There is a good correlation between the E* values based on above two predictive models and the measured E*, while a relatively lower bias can be expected from Witczak 1-37A model. The test results can be used for the calibration of dynamic modulus with higher accuracy.
为了研究2种动态模量预测模型(基于黏度的Witczak 1-37A模型和基于剪切复数模量的Witczak 1-40D模型)在江苏地区的适用性及不同混合料设计参数(级配类型、胶结料种类、体积参数)对动态模量的影响, 进行了2种典型面层沥青混合料(Sup-13和AC-13)的动态模量试验研究, 并将试验数据用于预测模型的分析.对不同沥青的黏度和动态剪切模量进行试验以获取预测模型的参数.试验结果表明:胶结料种类和沥青含量对动态模量有显著影响;2种预测模型与室内试验结果均有较好的相关度, Witczak 1-37A动态模量的预测模型精度更高.试验结果可用于更高精度动态模量预测模型的修正.

References:

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Memo

Memo:
Biographies: Wang Haopeng(1991—), male, graduate; Yang Jun(corresponding author), female, doctor, professor, yangjun@seu.edu.cn.
Foundation item: The Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20120092110053).
Citation: Wang Haopeng, Yang Jun, Zhou Wenzhang, et al. Assessing dynamic modulus properties for typical asphalt mixtures in Jiangsu[J].Journal of Southeast University(English Edition), 2016, 32(1):99-105. DOI:10.3969/j.issn.1003-7985.2016.01.017.
Last Update: 2016-03-20