Dr. Zihang Weng
CEE, Hong Kong Polytechnic University, Hong Kong, China
Postdoctoral research fellow
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Academic Career Length
7Years (2020-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 October 2020 in International Journal of Pavement Engineering
Journal Article
YDYuchcuan Du
Yuchcuan DuZihang Weng
Feng LiGAGulnigar Ablat
Gulnigar Ablat
Difei WuCLChenglong Liu
Chenglong LiuIn this paper, a 2D-wavelet approach is proposed to characterize the pavement texture acquired from the 3D laser scanner. The texture is decomposed into nine levels (from 0.1 mm to 25.6 mm) to extract the feature at multiscale. The Relative Energy (RE) and 2D-Entropy are calculated as indicators to represent the mixture surface texture distribution properties. Through conducting the 2D-wavelet decomposition on eight types of mixtures, it is found that the decomposition results perform well in recognizing the aggregates and predicting the gradation distribution. A wearing test for 100 h is also conducted and the results reveal that the mean profile depth (MPD) is highly correlative to the energy of the macro-texture while the RE and 2D-Entropy of the micro-texture decrease during the polishing process. Moreover, the mixture surface texture variates differently in the two directions: the RE of micro-texture deteriorate faster in the y-direction (the wheel movement direction) than the x-direction. The results show that the indicators can be used to measure the pavement texture variation due to traffic wear during service life, demonstrating that the novel 2D-wavelet approach the potential to evaluate road performances, such as skid and wear resistance.
10 June 2022 in Automation in Construction
Journal Article
Zihang WengHXHui Xiang
Hui Xiang
YLYuchao Lin
Yuchao Lin
CLChenglong Liu
Chenglong Liu
DWDifei Wu
Difei Wu
YDYuchuan Du
Yuchuan Du
18 October 2022 in Computer-Aided Civil and Infrastructure Engineering
Journal Article
CLChenglong Liu
Chenglong Liu
NXNan Xu
Nan Xu
Zihang WengYLYishun Li
Yishun Li
YDYuchuan Du
Yuchuan Du
JCJing Cao
Jing Cao
1 November 2021 in Construction and Building Materials
Journal Article
YDYuchuan Du
Yuchuan Du
BQBohao Qin
Bohao QinZihang WengDWDifei Wu
Difei Wu
CLChenglong Liu
Chenglong Liu1 February 2022 in Automation in Construction
Journal Article
Zihang WengGAGulnigar Ablat
Gulnigar Ablat
DWDifei Wu
Difei Wu
CLChenglong Liu
Chenglong Liu
FLFeng Li
Feng Li
JCJing Cao
Jing Cao
+1
15 July 2025 in Automation in Construction
Journal Article
YLYishun Li
Yishun Li
CLChenglong Liu
Chenglong Liu
Zihang WengDWDifei Wu
Difei Wu
YDYuchuan Du
Yuchuan Du
About Me
Dr. Zihang Weng is a Postdoctoral Fellow at The Hong Kong Polytechnic University. He has dedicated his research to pavement performance, evaluation, and surface interaction since 2018. Dr. Weng earned his PhD from Tongji University in 2024. His research interests lie in: (1) Computer-aided pavement condition assessment using emerging sensing technologies. (2) Analysis of the environmental and energy impacts of transportation infrastructure performance. (3) Safety and operational management of transportation infrastructure under vehicle-infrastructure interaction.
Dr. Weng has authored a total of 30 journal articles including Autom. Constr. (4 papers), Comput. Aided Civ. Infrastruct. Eng. (2 papers), Friction (2 papers), IEEE Trans. Intell. Transp. Syst., Transp. Res. Part D: Transp. Environ., Measurement, Constr. Build. Mater., Case Stud. Constr. Mater. (2 papers).
His intellectual property portfolio includes 2 international PCT patents, 5 authorized Chinese invention patents, 1 utility model patent, and 1 software copyright. He has also contributed to 1 regional standard and 1 academic monograph. He recieved the First Prize of the China Communications and Transportation Association Science and Technology Award, the Outstanding Doctoral Dissertation at the 13th TRF Transportation Research Forum, the Tongji University Outstanding Doctoral Thesis Award, and selection into the Chinese Ministry of Transport’s Major Scientific and Technological Innovation Achievements.