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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. Zuo, Jiaxu / Mayfield, Sarah / Sheil, Brian / Acikgoz, Sinan: Acoustic emission failure detection and localisation in historic fibrous plaster ceiling. In: Proceedings of the Institution of Civil Engineers - Engineering History and Heritage.

    https://doi.org/10.1680/jenhh.24.00004

  2. Jing, Yixiong / Zhong, Jia-Xing / Sheil, Brian / Acikgoz, Sinan (2024): Anomaly detection of cracks in synthetic masonry arch bridge point clouds using fast point feature histograms and PatchCore. In: Automation in Construction, v. 168 (December 2024).

    https://doi.org/10.1016/j.autcon.2024.105766

  3. Babanagar, Nandeesh / Sheil, Brian / Ninić, Jelena / Zhang, Qianbing / Hardy, Stuart (2025): Digital twins for urban underground space. In: Tunnelling and Underground Space Technology, v. 155 (January 2025).

    https://doi.org/10.1016/j.tust.2024.106140

  4. Zuo, Jiaxu / Sheil, Brian / Acikgoz, Sinan: A three-stage approach based on 1D-CNNs for AE source localisation on historic fibrous plaster ceilings. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241245309

  5. Bayaraa, Maral / Sheil, Brian / Rossi, Cristian (2024): InSAR and numerical modelling for tailings dam monitoring – the Cadia failure case study. In: Géotechnique, v. 74, n. 10 (September 2024).

    https://doi.org/10.1680/jgeot.21.00399

  6. Xu, Jingmin / Gui, Jiashu / Sheil, Brian (2024): A numerical investigation of the role of basements on tunnel-frame interaction in sandy soil. In: Computers and Geotechnics, v. 169 (May 2024).

    https://doi.org/10.1016/j.compgeo.2024.106197

  7. Jing, Yixiong / Sheil, Brian / Acikgoz, Sinan (2024): A lightweight Transformer‐based neural network for large‐scale masonry arch bridge point cloud segmentation. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 16 (August 2024).

    https://doi.org/10.1111/mice.13201

  8. Lin, Wei / Sheil, Brian / Zhang, Pin / Zhou, Biao / Wang, Cheng / Xie, Xiongyao (2024): Seg2Tunnel: A hierarchical point cloud dataset and benchmarks for segmentation of segmental tunnel linings. In: Tunnelling and Underground Space Technology, v. 147 (May 2024).

    https://doi.org/10.1016/j.tust.2024.105735

  9. Zhou, Xiaoqi / Shi, Peixin / Sheil, Brian (2024): Knowledge-based multiple point statistics for soil stratigraphy simulation. In: Tunnelling and Underground Space Technology, v. 143 (January 2024).

    https://doi.org/10.1016/j.tust.2023.105475

  10. Jing, Yixiong / Sheil, Brian / Acikgoz, Sinan (2022): Segmentation of large-scale masonry arch bridge point clouds with a synthetic simulator and the BridgeNet neural network. In: Automation in Construction, v. 142 (October 2022).

    https://doi.org/10.1016/j.autcon.2022.104459

  11. Zhou, Hang / Sheil, Brian / Liu, Hanlong (2022): Noncircular Cavity Expansion in Undrained Soil: Semi-Analytical Solution. In: Journal of Engineering Mechanics (ASCE), v. 148, n. 7 (July 2022).

    https://doi.org/10.1061/(asce)em.1943-7889.0002118

  12. Zhang, Pin / Yin, Zhen-Yu / Jin, Yin-Fu / Yang, Jie / Sheil, Brian (2022): Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion. In: Journal of Engineering Mechanics (ASCE), v. 148, n. 4 (April 2022).

    https://doi.org/10.1061/(asce)em.1943-7889.0002094

  13. Sheil, Brian / Finnegan, William (2017): Numerical Simulations of Wave–Structure–Soil Interaction of Offshore Monopiles. In: International Journal of Geomechanics, v. 17, n. 1 (January 2017).

    https://doi.org/10.1061/(asce)gm.1943-5622.0000667

  14. Royston, Ronan / Sheil, Brian / Byrne, Byron (2022): Monitoring the construction of a large-diameter caisson in sand. In: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, v. 175, n. 3 (June 2022).

    https://doi.org/10.1680/jgeen.19.00266

  15. Sheil, Brian (2021): Prediction of microtunnelling jacking forces using a probabilistic observational approach. In: Tunnelling and Underground Space Technology, v. 109 (March 2021).

    https://doi.org/10.1016/j.tust.2020.103749

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