Xiongyao Xie
- Thickness regression for backfill grouting of shield tunnels based on GPR data and CatBoost & BO-TPE: A full-scale model test study. In: Underground Space, v. 17 (August 2024). (2024):
- Study on the penetration capability of GPR for the steel-fibre reinforced concrete (SFRC) segment based on numerical simulations and model test. In: Construction and Building Materials, v. 400 (Oktober 2023). (2023):
- Visual comfort generative design framework based on parametric network in underground space. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 9 (14 Mai 2023). (2023):
- (2018): The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method. In: Shock and Vibration, v. 2018 ( 2018).
- Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory. In: Automation in Construction, v. 139 (Juli 2022). (2022):
- Use of deep learning, denoising technic and cross-correlation analysis for the prediction of the shield machine slurry pressure in mixed ground conditions. In: Automation in Construction, v. 128 (August 2021). (2021):
- Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion. In: Automation in Construction, v. 68 (August 2016). (2016):
- Void-induced liner deformation and stress redistribution. In: Tunnelling and Underground Space Technology, v. 40 (Februar 2014). (2014):