|Table of Contents|

Void spatial information acquisition method of draining asphalt pavement

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2010年01期
Page:
6-11
Research Field:
Publishing date:
2010-02-20

Info

Title:
Void spatial information acquisition method of draining asphalt pavement
Author(s):
PEI Jian-zhong;  ZHANG Jia-lin
Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, Shaanxi, China
Keywords:
road engineering;  pavement engineering;  draining asphalt pavement;  void;  spatial information;  acquisition method
PACS:
U416.217
DOI:
-
Abstract:
In order to obtain the spatial information of void and to appraise the function of void in asphalt mixture, the draining water asphalt mixture with the larger percentage of void was taken as the carrier to research. The parameters including percentage of void, void appearance, void diameter, specific surface area and void gradation were analyzed from different description angles based on heterogeneous, polyphase and multi-level characteristics and void irregular, disordered state of asphalt mixture, it was found that the relation between void diameter and permeation model can be established directly. The basic thought, application scope and limitation of mathematics methods including statistics, topology, fractal geometry method, renormalization group method, spectral density method were carried on comparative analysis, it was found that the fractal dimension can be used to express the spatial distribution state of void precisely. The equipment principle, the adaptation condition and the result precision of test methods including mercury method, gas adsorption method, X-ray computed tomography, small angle X-ray scattering method, optical method were carried on contrast research, it was found that the accumulation void volume with mercury method can be obtained by the mercury pressure curve in certain void diameter scope, and the lossless image can be obtained by X-ray computed tomography after enhancement, the division and extraction can be used to compute the distribution function of spatial void quantitatively. The results indicate that the void diameter is the effective attributing parameter of spatial void, the fractal geometry method, the mercury method and X-ray computed tomography can quantitatively research void spatial model. 1 tab, 7 figs, 11 refs.

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Last Update: 2010-02-20