Qipeng Zhang 
- (2024): Small-sample data-driven lightweight convolutional neural network for asphalt pavement defect identification. In: Case Studies in Construction Materials, v. 21 (Dezember 2024).
- (2024): CNN-based network with multi-scale context feature and attention mechanism for automatic pavement crack segmentation. In: Automation in Construction, v. 164 (August 2024).
- (2024): Study on the correlation between spatial variability of asphalt mixture material parameters and fracture performance. In: Case Studies in Construction Materials, v. 20 (Juli 2024).
- (2023): Modified fractional-Zener model—Numerical application in modeling the behavior of asphalt mixtures. In: Construction and Building Materials, v. 388 (Juli 2023).
- (2024): Lightweight convolutional neural network driven by small data for asphalt pavement crack segmentation. In: Automation in Construction, v. 158 (Februar 2024).
- (2023): Application of a stochastic damage model to predict the variability of creep behavior for asphalt mixtures. In: Case Studies in Construction Materials, v. 18 (Juli 2023).
- (2022): Experimental and analytical methods for evaluating the high temperature viscoelastic properties of fine aggregate matrix. In: Materials and Structures, v. 55, n. 7 (5 August 2022).
Structurae kooperiert mit
