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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. Li, Tai-feng / Xiao, Xian-pu / Yan, Rong-hui / Xie, Kang / Li, Jia-shen / Dai, Ruo-han (2024): Research on deterioration mechanism of graded gravel in high-speed railway subgrade layer based on machine vision. In: Case Studies in Construction Materials, v. 21 (December 2024).

    https://doi.org/10.1016/j.cscm.2024.e04011

  2. Yan, Rong-hui / Xiao, Xian-pu / Xie, Kang / Zheng, Jian-ying / Li, Tai-feng / Zhang, Qian-li / Lei, Ming-Yu (2025): A novel method for determining the optimal compaction energy for the red-bed soft rocks fillers based on DEM simulation. In: Construction and Building Materials, v. 458 (January 2025).

    https://doi.org/10.1016/j.conbuildmat.2024.139651

  3. Li, Xin-zhi / Xiao, Xian-pu / Xie, Kang / Yang, Hong-fei / Xu, Liang / Li, Tai-feng (2024): A generalizable parameter calibration framework for discrete element method and application in the compaction of red-bed soft rocks. In: Construction and Building Materials, v. 444 (September 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.137734

  4. Xie, Kang / Chen, Xiao-bin / Li, Tai-feng / Xiao, Xian-pu / Tang, Lu-bo / Wang, Ye-shun (2023): Experimental and numerical study on the influence of deterioration on the mechanical properties of graded gravel fillers during vibratory compaction. In: Construction and Building Materials, v. 404 (November 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133153

  5. Xiao, Xian-pu / Xie, Kang / Li, Xin-zhi / Hao, Zhe-rui / Li, Tai-feng / Deng, Zhi-xing (2023): Macro- and micro- deterioration mechanism of high-speed railway graded gravel filler during vibratory compaction. In: Construction and Building Materials, v. 409 (December 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.134043

  6. Deng, Zhi-xing / Xie, Kang / Su, Qian / Xu, Lin-rong / Hao, Zhe-rui / Xiao, Xian-pu (2023): Three-level evaluation method of cumulative slope deformation hybrid machine learning models and interpretability analysis. In: Construction and Building Materials, v. 408 (December 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133821

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