|Table of Contents|

Digital information characteristics of asphalt pavement construction technology(PDF)

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

Issue:
2023年1期
Page:
18-29
Research Field:
道路工程
Publishing date:

Info

Title:
Digital information characteristics of asphalt pavement construction technology
Author(s):
SI Wei1; 2;  WANG Rui1;  ZHANG Bo-wen1;  LI Ning3;  CIDAN Duo-jie1; 2;  MA Biao1
(1. Key Laboratory of Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, Shaanxi, China; 2. Tibet Tianlu Co., Ltd, Lhasa 850000, Tibet, China; 3. School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, Shaanxi, China)
Keywords:
road engineering;  asphalt pavement;  construction technology;  parameter characteristic;  dimensional reduction analysis;  correlation;  digital information
PACS:
U415.6
DOI:
10.19721/j.cnki.1671-8879.2023.01.003
Abstract:
The digitalization of asphalt pavement construction technology was the basis of intelligent construction of asphalt pavement. The digital information features played a decisive role in providing accurate and efficient construction plans and control decisions. Statistics method of big data was used to analyze the process parameters of asphalt mixture in four stages of mixing, transportation, paving and rolling. In addition, correlation and dimensional reduction analyses were carried out, to obtain the characteristics of process parameters in different construction stages and clarify the correlation. The results show that the variability of mixing parameters is low, while the amount of materials used is low. The distribution of paving value is low, while the re-rolling temperature and final-rolling temperature is high. The paving speed and rolling speed tend to be greater, and the abnormal value mainly appeares in the upper limit of the distribution. The best fitting distribution functions of different parameters are different. Lognorm function has a great goodness of fit for construction parameters, which can be used to build a construction temperature prediction model. The correlation between mixing parameters is great, but it is low with paving and rolling parameters. Moreover, the correlation between paving parameters and rolling parameters is also low. With the dimensional reduction analysis, the 10 dimensions of mixing parameters are reduced to 2 dimensions, which can effectively retain the characteristics of the original 10 dimensions parameters. After dimensional reduction, paving and rolling parameters highly independent, but these independent parameters still need to be carefully selected to establish the construction control model, so as to improve the accuracy and generalization of the model.2 tabs, 12 figs, 19 refs.

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Last Update: 2023-01-30