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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Ni, Hongyang / Liu, Jiangfeng / Zhang, Qi / Wang, Zhipeng / Su, Guoshao / Judith, Kundwa Marie (2024): A gas permeability model for unsaturated bentonite considering the stress and temperature effects. In: Construction and Building Materials, v. 418 (März 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135373

  2. Wang, Junmu / Su, Guoshao / Hao, Junmeng: A dynamic Gaussian process surrogate model based on the grasshopper optimization algorithm for non-probabilistic reliability analysis of complex structures. In: Structure and Infrastructure Engineering.

    https://doi.org/10.1080/15732479.2023.2225509

  3. Jiang, Hao / Li, Renjie / Wang, Libo / Li, Chongjin / Su, Guoshao (2023): Influence of Principal Stress Direction on the Fracture Characteristics of Granite with an Inverted U-Shaped Cavity. In: International Journal of Civil Engineering, v. 21, n. 11 (Juni 2023).

    https://doi.org/10.1007/s40999-023-00860-2

  4. Su, Guoshao / Sun, Weizhe / Zhao, Ying: Machine learning classifier-based dynamic surrogate model for structural reliability analysis. In: Structure and Infrastructure Engineering.

    https://doi.org/10.1080/15732479.2023.2218847

  5. Yang, Yutai / Sun, Weizhe / Su, Guoshao (2022): A Novel Support-Vector-Machine-Based Grasshopper Optimization Algorithm for Structural Reliability Analysis. In: Buildings, v. 12, n. 6 (7 Juni 2022).

    https://doi.org/10.3390/buildings12060855

  6. Li, Qi / Wang, Junmu / Su, Guoshao (2022): A Grasshopper Optimization Algorithm-Based Response Surface Method for Non-Probabilistic Structural Reliability Analysis with an Implicit Performance Function. In: Buildings, v. 12, n. 7 (5 Juli 2022).

    https://doi.org/10.3390/buildings12071061

  7. Chen, Zhiyong / Wang, Zhongxun / Su, Guoshao / Gao, Song / Hu, Xiaochuan (2021): Construction Technology of Micro Bench Cut Method for Weak Rock Tunnel with High In-situ Stress. In: Geotechnical and Geological Engineering, v. 40, n. 3 (23 September 2021).

    https://doi.org/10.1007/s10706-021-01971-0

  8. Luo, Danni / Huang, Jie / Su, Guoshao / Tao, Honghui (2020): A dynamic Gaussian process surrogate model-assisted particle swarm optimisation algorithm for expensive structural optimisation problems. In: European Journal of Environmental and Civil Engineering, v. 27, n. 1 (November 2020).

    https://doi.org/10.1080/19648189.2022.2049371

  9. Zhang, Yan / Su, Guoshao / Li, Yao / Wei, Mingdong / Liu, Baochen (2020): Displacement Back-Analysis of Rock Mass Parameters for Underground Caverns Using a Novel Intelligent Optimization Method. In: International Journal of Geomechanics, v. 20, n. 5 (Mai 2020).

    https://doi.org/10.1061/(asce)gm.1943-5622.0001657

  10. Xia, Yingjie / Zhang, Chuanqing / Zhou, Hui / Shan, Zhigang / Liu, Ning / Su, Guoshao / Gao, Yang / Singh, Hemant Kumar (2020): Study on Model Structure and Mechanical Anisotropy of Columnar Jointed Rock Mass Based on Three-Dimensional Printing Method. In: International Journal of Geomechanics, v. 20, n. 11 (November 2020).

    https://doi.org/10.1061/(asce)gm.1943-5622.0001854

  11. Su, Guoshao / Jiang, Jianqing / Yu, Bo / Xiao, Yilong (2015): A Gaussian process-based response surface method for structural reliability analysis. In: Structural Engineering and Mechanics, v. 56, n. 4 (November 2015).

    https://doi.org/10.12989/sem.2015.56.4.549

  12. Hu, Xiaochuan / Su, Guoshao / Li, Zhenyu / Xu, Chaoshui / Yan, Xiaoyang / Liu, Yanxin / Yan, Liubin (2021): Suppressing rockburst by increasing the tensile strength of rock surface: An experimental study. In: Tunnelling and Underground Space Technology, v. 107 (Januar 2021).

    https://doi.org/10.1016/j.tust.2020.103645

  13. Zhang, Yan / Su, Guoshao / Liu, Baochen / Li, Tianbin (2020): A novel displacement back analysis method considering the displacement loss for underground rock mass engineering. In: Tunnelling and Underground Space Technology, v. 95 (Januar 2020).

    https://doi.org/10.1016/j.tust.2019.103141

  14. Su, Guoshao / Peng, Lifeng / Hu, Lihua (2017): A Gaussian process-based dynamic surrogate model for complex engineering structural reliability analysis. In: Structural Safety, v. 68 (September 2017).

    https://doi.org/10.1016/j.strusafe.2017.06.003

  15. Su, Guoshao / Yu, Bo / Xiao, Yilong / Yan, Liubin (2014): Gaussian Process Machine-Learning Method for Structural Reliability Analysis. In: Advances in Structural Engineering, v. 17, n. 9 (September 2014).

    https://doi.org/10.1260/1369-4332.17.9.1257

  16. Su, Guoshao / Li, Tianbin / Jiang, Jianqing / Chen, Guoqing / Mo, Jinghai (2018): Experimental Study of Influence of Support Failures on Rockbursts under True-Triaxial Condition. In: Advances in Civil Engineering, v. 2018 ( 2018).

    https://doi.org/10.1155/2018/2105451

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