Guo jun Wang

Guo jun Wang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 August 2020 in Multimedia Tools and Applications
Verified
Journal Article
Closed access
PDF file
GWGuo jun Wang
Guo jun Wang

25 February 2019 in Soft Computing
Verified
Journal Article
Closed access
PDF file
LCLiang Chen
Liang Chen
HLHouqing Lu
Houqing Lu
HLHongwei Li
Hongwei Li
GWGuo jun Wang
Guo jun Wang
LCLi Chen
Li Chen

1 November 2025 in Materials Research Express
Verified
Journal Article
Open access
XLXiujun Li
Xiujun Li
QSQiwei Song
Qiwei Song
SWShaoming Wu
Shaoming Wu
GWGuo jun Wang
Guo jun Wang
DSDongnan Su
Dongnan Su
WHWenyuan Huang
Wenyuan Huang
To bolster the reliability of the structural design for drainage asphalt pavements, we have autonomously devised a cross-sectional flow testing apparatus to mimic authentic rainfall conditions. This apparatus serves to gauge the drainage capacity of pavements by utilizing the intra-structural cross-section flow as an innovative evaluation index. Additionally, we establish regression models to correlate this index with the drainage layer thickness, road surface slope, and void ratio. Simultaneously, based on the actual conditions at the project site to estimate drainage asphalt pavement’s void ratio, and with the mix design, to ensure that the road performance meets specification requirements. The findings indicate that the intra-structural cross-section flow is positively correlated with the drainage layer thickness, road surface slope and void ratio. Considering the project’s actual conditions, it is recommended to maintain a void ratio of not less than 22%. Under the design gradation and the optimal oil-stone ratio, the compound high-viscosity modified asphalt mixture exhibits superior high-temperature performance, water stability, and permeability. Simultaneously, the intra-structural cross-sectional flow exhibits a strong correlation with the permeability coefficient. This correlation suggests its potential as a viable replacement for the permeability coefficient, emerging as a novel index for assessing the drainage capacity of the pavement.