Jia Liang
- (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).
- (2022): Automatic extraction and evaluation of pavement three-dimensional surface texture using laser scanning technology. In: Automation in Construction, v. 141 (September 2022).
- (2020): Fast and robust pavement crack distress segmentation utilizing steerable filtering and local order energy. In: Construction and Building Materials, v. 262 (November 2020).
- (2020): Development and application of a non-destructive pavement testing system based on linear structured light three-dimensional measurement. In: Construction and Building Materials, v. 260 (November 2020).
Structurae kooperiert mit
