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