Guoqing Jing 
- (2024): Vision-based monitoring of railway superstructure: A review. In: Construction and Building Materials, v. 442 (September 2024).
- (2023): Railway ballast track hanging sleeper defect detection using a smart CNT self-sensing concrete railway sleeper. In: Construction and Building Materials, v. 399 (Oktober 2023).
- (2022): Railway ballast material selection and evaluation: A review. In: Construction and Building Materials, v. 344 (August 2022).
- (2022): Prediction of crushed numbers and sizes of ballast particles after breakage using machine learning techniques. In: Construction and Building Materials, v. 337 (Juni 2022).
- (2021): Rheology study of ballast-sleeper interaction with particle image Velocimetry (PIV) and discrete element modelling (DEM). In: Construction and Building Materials, v. 282 (Mai 2021).
- (2021): Utilization of carbon nanotubes (CNTs) in concrete for structural health monitoring (SHM) purposes: A review. In: Construction and Building Materials, v. 309 (November 2021).
- (2021): Review of ballast track tamping: Mechanism, challenges and solutions. In: Construction and Building Materials, v. 300 (September 2021).
- (2021): Smart railway sleepers - a review of recent developments, challenges, and future prospects. In: Construction and Building Materials, v. 271 (Februar 2021).
- (2020): Study on Coupling of Glass Powder and Steel Fiber as Silica Fume Replacement in Ultra-High Performance Concrete: Concrete Sleeper Admixture Case Study. In: KSCE Journal of Civil Engineering, v. 24, n. 5 (April 2020).
- (2019): Research on the dynamic behaviour of the railway ballast assembly subject to the low loading condition based on a tridimensional DEM-FDM coupled approach. In: Construction and Building Materials, v. 218 (September 2019).
Structurae kooperiert mit
