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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. Wang, Wenjun / Su, Chao / Han, Guohui / Dong, Yijia (2023): Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network. In: Structural Health Monitoring, v. 23, n. 2 (July 2023).

    https://doi.org/10.1177/14759217231171696

  2. Dong, Yijia / Liu, Tao / Li, Zhimin / Qiao, Pizhong (2023): DeepFEM: A Novel Element-Based Deep Learning Approach for Solving Nonlinear Partial Differential Equations in Computational Solid Mechanics. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 2 (February 2023).

    https://doi.org/10.1061/jenmdt.emeng-6643

  3. Xu, Lei / Jiang, Lei / Shen, Lei / Dong, Yijia / Ren, Qingwen (2022): 3D mesostructure generation of fully-graded concrete based on hierarchical point cloud and aggregate coarsening. In: Construction and Building Materials, v. 350 (October 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128790

  4. Dong, Yijia / Qiao, Pizhong (2021): CT image-based synthetic mesostructure generation for multiscale fracture analysis of concrete. In: Construction and Building Materials, v. 296 (August 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.123582

  5. Fang, Yi / Wang, Jialai / Qian, Xin / Wang, Liang / Dong, Yijia / Qiao, Pizhong (2021): Low-cost, ubiquitous biomolecule as a strength enhancer for cement mortars. In: Construction and Building Materials, v. 311 (December 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.125305

  6. Dong, Yijia / Su, Chao / Qiao, Pizhong / Sun, Lizhi (2020): Microstructural crack segmentation of three-dimensional concrete images based on deep convolutional neural networks. In: Construction and Building Materials, v. 253 (August 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.119185

  7. Dong, Yijia / Su, Chao / Qiao, Pizhong / Sun, Lizhi (2020): A thermal-hydraulic-mechanical coupling model for freezing process simulation of cementitious materials with entrained air voids. In: Construction and Building Materials, v. 243 (May 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118253

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