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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. Dong, Wei / Huang, Yimiao / Lehane, Barry / Ma, Guowei (2022): An artificial intelligence-based conductivity prediction and feature analysis of carbon fiber reinforced cementitious composite for non-destructive structural health monitoring. In: Engineering Structures, v. 266 (September 2022).

    https://doi.org/10.1016/j.engstruct.2022.114578

  2. Dong, Wei / Huang, Yimiao / Lehane, Barry / Ma, Guowei (2022): Multi-objective design optimization for graphite-based nanomaterials reinforced cementitious composites: A data-driven method with machine learning and NSGA-Ⅱ. In: Construction and Building Materials, v. 331 (Mai 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127198

  3. Zhang, Yifan / Aslani, Farhad / Lehane, Barry (2021): Compressive strength of rubberized concrete: Regression and GA-BPNN approaches using ultrasonic pulse velocity. In: Construction and Building Materials, v. 307 (November 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.124951

  4. Lim, Jit Kheng / Lehane, Barry (2015): Shearing resistance during pile installation in sand. In: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, v. 168, n. 3 (Juni 2015).

    https://doi.org/10.1680/geng.14.00066

  5. Dong, Wei / Huang, Yimiao / Lehane, Barry / Aslani, Farhad / Ma, Guowei (2021): Mechanical and electrical properties of concrete incorporating an iron-particle contained nano-graphite by-product. In: Construction and Building Materials, v. 270 (Februar 2021).

    https://doi.org/10.1016/j.conbuildmat.2020.121377

  6. Dong, Wei / Huang, Yimiao / Lehane, Barry / Ma, Guowei (2020): XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring. In: Automation in Construction, v. 114 (Juni 2020).

    https://doi.org/10.1016/j.autcon.2020.103155

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