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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. Dai, Tian / Liu, Tianle / Gu, Huaimeng / Fang, Changliang / Zheng, Shaojun / Jiang, Guosheng / Qin, Bangwei (2023): Recycling of clay brick powder to improve the microstructure and mechanical properties of oil well cement pastes at high temperature and high pressure conditions. In: Construction and Building Materials, v. 408 (December 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133650

  2. Zheng, Shaojun / Liu, Tianle / Jiang, Guosheng / Wen, Dayang / Dai, Tian / Yang, Guokun / Gu, Huaimeng / Fang, Changliang (2024): Direct evidence of pore structural effects on the compressive strength of lightweight cement slurry containing nano silica fume and hollow glass microspheres. In: Construction and Building Materials, v. 411 (January 2024).

    https://doi.org/10.1016/j.conbuildmat.2023.134703

  3. Dai, Tian / Liu, Tianle / Qu, Bo / Fang, Changliang / Zheng, Shaojun / Jiang, Guosheng (2023): Reinforcement of oil well cement composites with alumina nanofibers under high temperature/pressure curing condition: Mechanical and microstructural properties. In: Construction and Building Materials, v. 364 (January 2023).

    https://doi.org/10.1016/j.conbuildmat.2022.129913

  4. Zhang, Pin / Chen, Ren-Peng / Dai, Tian / Wang, Zhi-Teng / Wu, Kai (2021): An AIoT-based system for real-time monitoring of tunnel construction. In: Tunnelling and Underground Space Technology, v. 109 (March 2021).

    https://doi.org/10.1016/j.tust.2020.103766

  5. Zhang, Pin / Wu, Huai-Na / Chen, Ren-Peng / Dai, Tian / Meng, Fan-yan / Wang, Hong-Bo (2020): A critical evaluation of machine learning and deep learning in shield-ground interaction prediction. In: Tunnelling and Underground Space Technology, v. 106 (December 2020).

    https://doi.org/10.1016/j.tust.2020.103593

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