Jiayao Chen
- (2024): R-C-D-F machine learning method to measure for geological structures in 3D point cloud of rock tunnel face. In: Tunnelling and Underground Space Technology, v. 154 (Dezember 2024).
- (2024): A novel mechanics model for predicting vertical load and jacking force via rectangle pipe considering soil arching effect. In: Tunnelling and Underground Space Technology, v. 152 (Oktober 2024).
- (2024): Semi-supervised recognition of tunnel surrounding rock discontinuities using drilling jumbo data. In: Automation in Construction, v. 166 (Oktober 2024).
- (2024): Safety evaluation method for operational shield tunnels based on semi-supervised learning and a stacking algorithm. In: Tunnelling and Underground Space Technology, v. 153 (November 2024).
- (2024): Automatic detection of traces in 3D point clouds of rock tunnel faces using a novel roughness: CANUPO method. In: Journal of Civil Structural Health Monitoring, v. 14, n. 7 (Mai 2024).
- (2024): Stability evaluation model for the tunnel face of large cross-section tunnel excavated by the bench method. In: Computers and Geotechnics, v. 170 (Juni 2024).
- (2023): Towards automated 3D evaluation of water leakage on a tunnel face via improved GAN and self-attention DL model. In: Tunnelling and Underground Space Technology, v. 142 (Dezember 2023).
- (2022): Analytical model for tunnel face stability in longitudinally inclined layered rock masses with weak interlayer. In: Computers and Geotechnics, v. 143 (März 2022).
- (2021): Towards semi-automatic discontinuity characterization in rock tunnel faces using 3D point clouds. In: Engineering Geology, v. 291 (September 2021).
- (2022): A hierarchical DCNN-based approach for classifying imbalanced water inflow in rock tunnel faces. In: Tunnelling and Underground Space Technology, v. 122 (April 2022).
- (2021): Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings. In: Structural Control and Health Monitoring, v. 28, n. 6 (April 2021).
- (2021): Quantification of water inflow in rock tunnel faces via convolutional neural network approach. In: Automation in Construction, v. 123 (März 2021).
- (2022): Deep learning-based instance segmentation of cracks from shield tunnel lining images. In: Structure and Infrastructure Engineering, v. 18, n. 2 (Juni 2022).
- (2020): Image-based segmentation and quantification of weak interlayers in rock tunnel face via deep learning. In: Automation in Construction, v. 120 (Dezember 2020).
Structurae kooperiert mit
