沥青混合料动态模量预估模型研究进展

doi:10.11896/j.issn.1005-023X.2018.13.014

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Abstract Owing to the variation of vehicle load and environmental conditions, there exist huge difference between the actual working state and the static state in the material properties of asphalt pavement. Hence, it is necessary to investigate the dynamic characteristics of the asphalt pavement under dynamic load. The dynamic modulus of asphalt mixture is one of the important input parameters in asphalt pavement design. Usually, the master curve of asphalt mixture, fitted by the dynamic modulus of different temperatures and frequencies, can be used to accurately predict the dynamic modulus of asphalt mixture under different temperature, frequency and extreme conditions. Nevertheless, the complexity and high cost of indoor tests have hindered the application of modulus test of asphalt mixture. Therefore, exploring a more convenient way to obtain or predicate the dynamic modulus of asphalt mixture has become a research hot spot in recent years. There has been numerous studies on dynamic modulus prediction model. Several classical models like Witczak 1-37A, NCHRP 1-40D and Hirsch have been proposed. Although the three models are fitted on the basis of a large number of experimental data, the applicability of them are different because of the differences of materials, test methods and environment conditions in various regions of the world. Besides, with the development of computer technology, researchers endeavor to build simulation models in microscopic view to predicate the dynamic modulus of asphalt mixture in recent years. Specially, discrete element method (DEM) shows great advantages and has been widely used to simulate the asphalt mixture materials. In terms of applicability of the typical prediction models, a large number of studies on dynamic modulus prediction of asphalt mixture have been carried out by foreign scholars. The applicability of the three typical prediction models are systematically analyzed, and specific revision models have been put forward. However, the researches of the prediction model only restrict to few provinces and regions in China. It lacks nationwide comprehensive research on the dynamic modulus of asphalt mixture, which leads to the insufficient data base for revising the prediction model. All in all, there is an urgent need for further investigating the dynamic modulus prediction of asphalt mixture in different regions of China. For the microscopic simulation model of asphalt mixture, the DEM with CT technology can create a virtual specimen model, in which the aggregate shape, distribution and void features are in consistent with the actual situation, and the simulation test can be carried out accurately. This article summarizes the status quo of dynamic modulus prediction model of asphalt mixture. The three classical dynamic modulus prediction model and their applicability in different regions are introduced and analyzed. Besides, the discrete element me-thod (DEM) that used to predict the dynamic modulus of asphalt mixture is elaborated with emphases. At last, the current drawbacks existing in this technology are pointed out and the future research trends are proposed, which expected to provide a reference for the research and application of the dynamic modulus prediction model of asphalt mixture.

Key words： bituminous mixture dynamic modulus prediction model applicability DEM

Published: 01 August 2018

CLC number:

U414

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	Articles by authors
	YANG Xiaolong
	SHEN Aiqin
	GUO Yinchuan
	ZHAO Xueying
	LYU Zhenghua

Cite this article:

YANG Xiaolong,SHEN Aiqin,GUO Yinchuan, et al. A Review of Dynamic Modulus Prediction Model of Asphalt Mixture[J]. Materials Reports, 2018, 32(13): 2230-2240.

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http://www.mater-rep.com/EN/10.11896/j.issn.1005-023X.2018.13.014 OR http://www.mater-rep.com/EN/Y2018/V32/I13/2230

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