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Alexander Henderson

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. Elbatanouny, Elhussien / Ai, Li / Henderson, Alexander / Laxman, K. C. / Ziehl, Paul: An automated load determination approach for concrete girder bridges through acoustic emission. In: Advances in Structural Engineering.

    https://doi.org/10.1177/13694332241289163

  2. Ai, Li / Krol, Rebekah / Henderson, Alexander / Soltangharaei, Vafa / Ross, Brandon / Cousins, Thomas / Ziehl, Paul (2024): Enhancing the rehabilitation of timber piles using fiber reinforced polymer: An acoustic emission analysis under compressive stress. In: Engineering Structures, v. 320 (December 2024).

    https://doi.org/10.1016/j.engstruct.2024.118915

  3. Elbatanouny, Elhussien / Henderson, Alexander / Ai, Li / Ziehl, Paul (2024): Condition assessment of prestressed concrete channel bridge girders using acoustic emission and data-driven methods. In: Structures, v. 67 (September 2024).

    https://doi.org/10.1016/j.istruc.2024.107008

  4. Elbatanouny, Elhussien / Henderson, Alexander / Ai, Li / Laxman, K. C. / Ross, Brandon / Cousins, Thomas / Ziehl, Paul (2024): Full-scale experimental investigation of prestressed concrete bridge girders strengthened with aluminium channels. In: Engineering Structures, v. 314 (September 2024).

    https://doi.org/10.1016/j.engstruct.2024.118433

  5. Laxman, K. C. / Henderson, Alexander / Elbatanouny, Elhussien / Ai, Li / Ross, Brandon / Cousins, Thomas / Ziehl, Paul (2023): Cost-effective methods for flexural strengthening of one-way RC precast flat slab bridges in South Carolina. In: Construction and Building Materials, v. 408 (December 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133675

  6. Laxman, K. C. / Ross, Allen / Ai, Li / Henderson, Alexander / Elbatanouny, Elhussien / Bayat, Mahmoud / Ziehl, Paul (2023): Determination of vehicle loads on bridges by acoustic emission and an improved ensemble artificial neural network. In: Construction and Building Materials, v. 364 (January 2023).

    https://doi.org/10.1016/j.conbuildmat.2022.129844

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