Danyang Di
- (2024): Intelligent prediction model of a polymer fracture grouting effect based on a genetic algorithm-optimized back propagation neural network. Dans: Tunnelling and Underground Space Technology, v. 148 (juin 2024).
- (2024): Mechanical characteristics of concrete pipes under the coupled effects of the pressure, seepage, and flow fields. Dans: Structures, v. 61 (mars 2024).
- (2024): Shear behavior of a two-component non-water reactive foamed polyurethane (TNFPU) grouting material under different stress levels. Dans: Construction and Building Materials, v. 411 (janvier 2024).
- (2024): Using EPS and CFRP liner to strengthen prestressed concrete cylinder pipe. Dans: Construction and Building Materials, v. 412 (janvier 2024).
- (2024): An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes. Dans: Tunnelling and Underground Space Technology, v. 143 (janvier 2024).
- (2023): Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines. Dans: Tunnelling and Underground Space Technology, v. 142 (décembre 2023).
- (2023): Defects identification and location of underground space for ground penetrating radar based on deep learning. Dans: Tunnelling and Underground Space Technology, v. 140 (octobre 2023).
- (2023): An automatic and integrated self-diagnosing system for the silting disease of drainage pipelines based on SSAE-TSNE and MS-LSTM. Dans: Tunnelling and Underground Space Technology, v. 136 (juin 2023).
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