Xueguan Song
- PSDM: A parametrized structural dynamic modeling method based on digital twin for performance prediction. In: Engineering Structures, v. 316 (Oktober 2024). (2024):
- A Clustering Algorithm for Tunnel Boring Machine Data Based on Ridge Regression and Fuzzy C-Means. In: Journal of Physics: Conference Series, v. 2555, n. 1 (1 Juli 2023). (2023):
- Data-driven excavation trajectory planning for unmanned mining excavator. In: Automation in Construction, v. 162 (Juni 2024). (2024):
- Active learning framework for tunnel geological reconstruction based on TBM operational data. In: Automation in Construction, v. 158 (Februar 2024). (2024):
- Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining. In: Automation in Construction, v. 151 (Juli 2023). (2023):
- Multidisciplinary design optimization of tunnel boring machine considering both structure and control parameters under complex geological conditions. In: Structural and Multidisciplinary Optimization, v. 54, n. 4 (28 April 2016). (2016):
- (2017): Modeling and Dynamic Analysis of Cutterhead Driving System in Tunnel Boring Machine. In: Shock and Vibration, v. 2017 ( 2017).
- Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method. In: Automation in Construction, v. 136 (April 2022). (2022):
- Recurrent neural networks for real-time prediction of TBM operating parameters. In: Automation in Construction, v. 98 (Februar 2019). (2019):
- Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data. In: Automation in Construction, v. 92 (August 2018). (2018):