Guojun Wang
Guojun Wang has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Changjian Ye
Guangzhou Highway Engineering Group Co., LTD 510180 Guangzhou China
1 shared publication - Hongwei Li
Army Engineering University of PLA
1 shared publication - Houqing Lu
Army Engineering University of PLA, Nanjing, China
1 shared publication Li Chen
Nanjing Institute of Technology
1 shared publication- Liang Chen
Army Engineering University of PLA
1 shared publication - Qiwei Song
School of Environment and Architecture University of Shanghai for Science and Technology 200093 Shanghai China
1 shared publication
Latest Publications
- Open Access
- 1 November 2025
- Published by IOP Publishing in Materials Research Express
- Vol. 12 (11) , 115501
Integrated design of drainage asphalt pavement structures and mixtures based on targeted rainfall
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.
- 1 November 2025
- Published by IOP Publishing in Materials Research Express
- Vol. 12 (11) , 115501
Open AccessIntegrated design of drainage asphalt pavement structures and mixtures based on targeted rainfall
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.
- 12 August 2020
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 79 (39-40) , 29825-29843
A sub-pixel circle detection algorithm combined with improved RHT and fitting
- 12 August 2020
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 79 (39-40) , 29825-29843
A sub-pixel circle detection algorithm combined with improved RHT and fitting
- 25 February 2019
- Published by Springer Nature in Soft Computing
- Vol. 23 (21) , 11297-11312
Dimension-by-dimension enhanced cuckoo search algorithm for global optimization
- 25 February 2019
- Published by Springer Nature in Soft Computing
- Vol. 23 (21) , 11297-11312
Dimension-by-dimension enhanced cuckoo search algorithm for global optimization