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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. Zhang, Zhenyu / Jia, Zhensheng / Jin, Quan / Zhang, Haitao / Mei, Dongping / Zhang, Huifeng / Mao, Jin / Xiong, Lun (2024): Strain Characteristics of Large-Size Non-Studded Concrete-Filled Steel Tube Column under Construction. In: Buildings, v. 14, n. 2 (1 Februar 2024).

    https://doi.org/10.3390/buildings14020468

  2. Chen, Ning / Zhang, Zhenyu / Chen, An: Comprehensive evaluation of classification: an empirical study on consequence prediction of construction accidents in China. In: Construction Innovation.

    https://doi.org/10.1108/ci-11-2022-0295

  3. Zhang, Zhenyu / Li, Shixian / Chen, Aidi / Jin, Xin / Lan, Junjian / Liu, Yuyao / Wei, Hsi-Hsien (2023): Enhancing Buildings’ Energy Resilience by Dynamic Seismic Emergency Inspection and Restoration Scheduling in Multiple Systems. In: Buildings, v. 13, n. 10 (10 Oktober 2023).

    https://doi.org/10.3390/buildings13102610

  4. Yao, Yao / Zhang, Zhenyu / Liu, Hu / Zhuge, Yan / Zhang, Dong (2022): A new in-situ growth strategy to achieve high performance graphene-based cement material. In: Construction and Building Materials, v. 335 (Juni 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127451

  5. Zhang, Zhenyu / Ji, Tingting / Wei, Hsi-Hsien (2023): Assessment of post-earthquake resilience of highway–bridge networks by considering downtime due to interaction of parallel restoration actions. In: Structure and Infrastructure Engineering, v. 19, n. 5 (August 2023).

    https://doi.org/10.1080/15732479.2021.1961826

  6. Li, Shaohua / Long, kun / Zhang, Zhenyu / Yao, Xiaohu (2021): Cracking process and energy dissipation of sandstone under repetitive impact loading with different loading rates: From micro to macro scale. In: Construction and Building Materials, v. 302 (Oktober 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.124123

  7. Ma, Shuqi / Nemcik, Jan / Aziz, Naj / Zhang, Zhenyu (2016): Numerical Modeling of Fully Grouted Rockbolts Reaching Free-End Slip. In: International Journal of Geomechanics, v. 16, n. 1 (Februar 2016).

    https://doi.org/10.1061/(asce)gm.1943-5622.0000484

  8. Zhao, Tongbin / Ma, Shuqi / Zhang, Zhenyu (2018): Ground Control Monitoring in Backfilled Strip Mining under the Metropolitan District: Case Study. In: International Journal of Geomechanics, v. 18, n. 7 (Juli 2018).

    https://doi.org/10.1061/(asce)gm.1943-5622.0001163

  9. Zhang, Zhenyu / Wei, Hsi-Hsien (2021): Modeling Interaction of Emergency Inspection Routing and Restoration Scheduling for Postdisaster Resilience of Highway–Bridge Networks. In: Journal of Infrastructure Systems, v. 27, n. 1 (März 2021).

    https://doi.org/10.1061/(asce)is.1943-555x.0000592

  10. Fang, Lei / Huang, Jinliang / Zhang, Zhenyu / Nitivattananon, Vilas (2020): Data-driven framework for delineating urban population dynamic patterns: Case study on Xiamen Island, China. In: Sustainable Cities and Society, v. 62 (November 2020).

    https://doi.org/10.1016/j.scs.2020.102365

  11. He, Qinghua / Li, Jin / Wan, Jingyuan / Zhang, Zhenyu / Chen, Zhen (2020): The Passing Fads and Emergent Trends of Project Culture in Construction Industry. In: Advances in Civil Engineering, v. 2020 (Januar 2020).

    https://doi.org/10.1155/2020/9581901

  12. Lobo-Aguilar, Sergio / Zhang, Zhenyu / Jiang, Zhaoshuo / Christenson, Richard (2019): Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring. In: Journal of Bridge Engineering (ASCE), v. 24, n. 5 (Mai 2019).

    https://doi.org/10.1061/(asce)be.1943-5592.0001385

  13. Ma, Shuqi / Nemcik, Jan / Aziz, Naj / Zhang, Zhenyu (2014): Analytical model for rock bolts reaching free end slip. In: Construction and Building Materials, v. 57 (April 2014).

    https://doi.org/10.1016/j.conbuildmat.2014.01.057

  14. Wang, Xiang / Liang, Yunpei / Wang, Qingfeng / Zhang, Zhenyu (2017): Empirical models for tool forces prediction of drag-typed picks based on principal component regression and ridge regression methods. In: Tunnelling and Underground Space Technology, v. 62 (Februar 2017).

    https://doi.org/10.1016/j.tust.2016.11.006

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