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Li Zhuang ORCID

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

  1. Zhou, Yingwu / Zhuang, Li / Li, Gencheng / Hu, Rui / Hu, Biao (2024): Mechanical Performance of Ultralightweight Cement Composite-Filled CFRP-Wrapped Steel Tube Arches with Compression-Yield Systems. In: Journal of Composites for Construction, v. 28, n. 5 (Oktober 2024).

    https://doi.org/10.1061/jccof2.cceng-4634

  2. Jin, Hyunwoo / Lee, Jangguen / Zhuang, Li / Yeom, Sun / Shin, Hyu-Soung / Kim, Young-Jae (2024): Optimized manufacturing process of homogeneous microwave-sintered blocks of KLS-1 lunar regolith simulant. In: Journal of Building Engineering, v. 88 (Juli 2024).

    https://doi.org/10.1016/j.jobe.2024.109193

  3. Sun, Changlun / Zhuang, Li / Joon Youn, Dong / Seok Yoon, Jeoung / Min, Ki-Bok (2024): Laboratory investigation of thermal stresses in fractured granite: Effects of fracture surface roughness and initial stress. In: Tunnelling and Underground Space Technology, v. 145 (März 2024).

    https://doi.org/10.1016/j.tust.2024.105610

  4. Fu, Long-long / Zhou, Shun-hua / Zheng, Yue-xiao / Zhuang, Li (2023): Estimating Earth Pressure during Tunneling in Gravel-cobble Stratum by Considering Sensor-particle Size Effect. In: KSCE Journal of Civil Engineering, v. 27, n. 6 (April 2023).

    https://doi.org/10.1007/s12205-023-1712-6

  5. Zheng, Zhong / Qi, Haoyang / Zhuang, Li / Zhang, Zijun (2021): Automated rail surface crack analytics using deep data-driven models and transfer learning. In: Sustainable Cities and Society, v. 70 (Juli 2021).

    https://doi.org/10.1016/j.scs.2021.102898

  6. Kim, Ukgie / Kim, Dongwook / Zhuang, Li (2016): Influence of fines content on the undrained cyclic shear strength of sand–clay mixtures. In: Soil Dynamics and Earthquake Engineering, v. 83 (April 2016).

    https://doi.org/10.1016/j.soildyn.2016.01.015

  7. Wang, Long / Zhuang, Li / Zhang, Zijun (2019): Automatic Detection of Rail Surface Cracks with a Superpixel-Based Data-Driven Framework. In: Journal of Computing in Civil Engineering, v. 33, n. 1 (Januar 2019).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000799

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