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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Yu, Wei / Li, Bin / Fang, Hongyuan / Du, Xueming / Zhai, Kejie / Wang, Niannian / Di, Danyang / Du, Mingrui (2024): Mechanical characteristics of concrete pipes under the coupled effects of the pressure, seepage, and flow fields. In: Structures, v. 61 (March 2024).

    https://doi.org/10.1016/j.istruc.2024.106053

  2. Wang, Yin / Li, Bin / Chen, Can / Fang, Hongyuan / Du, Xueming / Wang, Niannian / Zhai, Kejie / Di, Danyang / Du, Mingrui (2024): Shear behavior of a two-component non-water reactive foamed polyurethane (TNFPU) grouting material under different stress levels. In: Construction and Building Materials, v. 411 (January 2024).

    https://doi.org/10.1016/j.conbuildmat.2023.134429

  3. Zhai, Kejie / Fang, Hongyuan / Guo, Chengchao / Li, Bin / Wang, Niannian / Yang, Kangjian / Zhang, Xijun / Du, Xueming / Di, Danyang (2024): Using EPS and CFRP liner to strengthen prestressed concrete cylinder pipe. In: Construction and Building Materials, v. 412 (January 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.134860

  4. Wang, Niannian / Ma, Duo / Du, Xueming / Li, Bin / Di, Danyang / Pang, Gaozhao / Duan, Yihang (2024): An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes. In: Tunnelling and Underground Space Technology, v. 143 (January 2024).

    https://doi.org/10.1016/j.tust.2023.105480

  5. Fang, Hongyuan / Zhang, Zhaoyang / Di, Danyang / Zhang, Jinping / Sun, Bin / Wang, Niannian / Li, Bin (2023): Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines. In: Tunnelling and Underground Space Technology, v. 142 (December 2023).

    https://doi.org/10.1016/j.tust.2023.105386

  6. Hu, Haobang / Fang, Hongyuan / Wang, Niannian / Ma, Duo / Dong, Jiaxiu / Li, Bin / Di, Danyang / Zheng, Hongbiao / Wu, Jiang (2023): Defects identification and location of underground space for ground penetrating radar based on deep learning. In: Tunnelling and Underground Space Technology, v. 140 (October 2023).

    https://doi.org/10.1016/j.tust.2023.105278

  7. Di, Danyang / Wang, Dianchang / Fang, Hongyuan / He, Qiang / Zhou, Lifen / Chen, Xianming / Sun, Bin / Zhang, Jinping (2023): An automatic and integrated self-diagnosing system for the silting disease of drainage pipelines based on SSAE-TSNE and MS-LSTM. In: Tunnelling and Underground Space Technology, v. 136 (June 2023).

    https://doi.org/10.1016/j.tust.2023.105076

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