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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. Wang, Wenjun / Su, Chao: Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241267794

  2. Su, Chao / Che, Ailan / Xu, Ziyao / Han, Zhaolong / Zhu, Feng / Hai, Tong (2024): Mechanical behavior of immersed tunnel under the influence of differential settlements: A case study of GZ tunnel. In: Tunnelling and Underground Space Technology, v. 151 (September 2024).

    https://doi.org/10.1016/j.tust.2024.105873

  3. Wang, Wenjun / Su, Chao / Han, Guohui / Hu, Shaopei (2024): Semi-supervised learning for concrete defect segmentation from images. In: Structural Health Monitoring, v. 23, n. 5 (Februar 2024).

    https://doi.org/10.1177/14759217231217097

  4. Xu, Ziyao / Che, Ailan / Su, Chao (2024): Evaluation on the state of sand filling layer and the influence on segment deformation of immersed tunnels. In: Underground Space, v. 16 (Juni 2024).

    https://doi.org/10.1016/j.undsp.2023.10.008

  5. Wang, Wenjun / Su, Chao / Han, Guohui / Zhang, Heng (2023): A lightweight crack segmentation network based on knowledge distillation. In: Journal of Building Engineering, v. 76 (Oktober 2023).

    https://doi.org/10.1016/j.jobe.2023.107200

  6. Wang, Wenjun / Su, Chao (2023): Deep learning-based detection and condition classification of bridge steel bearings. In: Automation in Construction, v. 156 (Dezember 2023).

    https://doi.org/10.1016/j.autcon.2023.105085

  7. 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 (Juli 2023).

    https://doi.org/10.1177/14759217231171696

  8. Han, Guohui / Su, Chao / Wang, Wenjun / Yu, Hui (2023): Effect of incident angle of P-wave on seismic response of underground cavern. In: Structures, v. 51 (Mai 2023).

    https://doi.org/10.1016/j.istruc.2023.03.150

  9. Wang, Wenjun / Su, Chao / Fu, Dong (2022): Automatic detection of defects in concrete structures based on deep learning. In: Structures, v. 43 (September 2022).

    https://doi.org/10.1016/j.istruc.2022.06.042

  10. Hu, Shaopei / Su, Chao / Zhang, Heng / Cao, Enhua / Yuan, Rongyao / Xu, Yunquan (2022): Analysis of Structural Characteristics of Underground Cavern Group by Simulating All Cavern Excavation. In: Advances in Civil Engineering, v. 2022 (Januar 2022).

    https://doi.org/10.1155/2022/4610557

  11. Wang, Wenjun / Su, Chao (2022): Automatic concrete crack segmentation model based on transformer. In: Automation in Construction, v. 139 (Juli 2022).

    https://doi.org/10.1016/j.autcon.2022.104275

  12. Ye, Nan / Su, Chao / Yang, Yang (2021): Free and Forced Vibration Analysis in Abaqus Based on the Polygonal Scaled Boundary Finite Element Method. In: Advances in Civil Engineering, v. 2021 (Januar 2021).

    https://doi.org/10.1155/2021/7664870

  13. Wang, Wenjun / Su, Chao / Zhang, Heng (2022): Automatic segmentation of concrete aggregate using convolutional neural network. In: Automation in Construction, v. 134 (Februar 2022).

    https://doi.org/10.1016/j.autcon.2021.104106

  14. Wang, Wenjun / Su, Chao (2021): Deep Learning-Based Real-Time Crack Segmentation for Pavement Images. In: KSCE Journal of Civil Engineering, v. 25, n. 12 (September 2021).

    https://doi.org/10.1007/s12205-021-0474-2

  15. Yuan, Rongyao / Yang, Yang / Su, Chao / Hu, Shaopei / Zhang, Heng / Cao, Enhua (2021): Research on Vibration Reduction Control Based on Reinforcement Learning. In: Advances in Civil Engineering, v. 2021 (Januar 2021).

    https://doi.org/10.1155/2021/7619214

  16. Wang, Wenjun / Su, Chao (2021): Semi-supervised semantic segmentation network for surface crack detection. In: Automation in Construction, v. 128 (August 2021).

    https://doi.org/10.1016/j.autcon.2021.103786

  17. Zhang, Zongxing / Xu, Shanhua / Wang, Hao / Nie, Biao / Su, Chao (2021): Flexural buckling behavior of corroded hot-rolled H-section steel beams. In: Engineering Structures, v. 229 (Februar 2021).

    https://doi.org/10.1016/j.engstruct.2020.111614

  18. Yang, Yang / Su, Chao / Yan, Mingjiao / Duan, Qingsong (2020): Modeling Hydromechanical Reinforcement of Vegetation to Improve the Stability of a Shallow Slope. In: Soil Mechanics and Foundation Engineering, v. 57, n. 5 (November 2020).

    https://doi.org/10.1007/s11204-020-09687-8

  19. 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

  20. 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 (Mai 2020).

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

  21. Yang, Na / Su, Chao / Wang, Xiao-Feng / Bai, Fan (2016): Mechanical properties of material in Q345GJ-C thick steel plates. In: Steel and Composite Structures, v. 21, n. 3 ( 2016).

    https://doi.org/10.12989/scs.2016.21.3.517

  22. Yang, Na / Su, Chao / Wang, Xiao-Feng / Bai, Fan (2016): Research on damage evolution in thick steel plates. In: Journal of Constructional Steel Research, v. 122 (Juli 2016).

    https://doi.org/10.1016/j.jcsr.2016.03.014

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