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Zhiqiang Shang

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Gao, Pengcheng / Mou, Xianyou / Ji, Honglan / Gao, Feng / Su, Haitao / Gao, Lina / Shang, Zhiqiang / Chang, Lei / Che, Mingnan (2024): Refined Simulation Study of Hydrodynamic Properties and Flow Field Characteristics around Tandem Bridge Piers under Ice-Cover Conditions. In: Buildings, v. 14, n. 9 (25 August 2024).

    https://doi.org/10.3390/buildings14092853

  2. Gong, Fengzong / Su, Dan / Shang, Zhiqiang / Bao, Longsheng / Xia, Ye (2023): Damping ratio effect analysis of a single-pylon cable-stayed bridge. Vorgetragen bei: IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023.

    https://doi.org/10.2749/istanbul.2023.0976

  3. Wang, Shanshan / Luo, Lanxin / Shang, Zhiqiang / Wang, Yangchun (2022): Establishment of Regional Bridge Degradation Model for Shandong Province. Vorgetragen bei: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.

    https://doi.org/10.2749/nanjing.2022.1575

  4. Shang, Zhiqiang / Xia, Ye (2022): Research on the Damping Ratio Variation of Vehicle Bridge Interaction System Based on the Complex Mode Method. Vorgetragen bei: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.

    https://doi.org/10.2749/nanjing.2022.1313

  5. Shang, Zhiqiang / Xin, Gongfeng / Xia, Ye / Sun, Limin (2022): A Multi-Label Classification Method for Anomaly Detection of Bridge Structural Health Monitoring Data. Vorgetragen bei: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.

    https://doi.org/10.2749/nanjing.2022.1280

  6. Shang, Zhiqiang / Sun, Limin / Xia, Ye / Zhang, Wei (2021): Vibration-based damage detection for bridges by deep convolutional denoising autoencoder. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).

    https://doi.org/10.1177/1475921720942836

  7. Sun, Limin / Shang, Zhiqiang / Xia, Ye / Bhowmick, Sutanu / Nagarajaiah, Satish (2020): Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection. In: Journal of Structural Engineering (ASCE), v. 146, n. 5 (Mai 2020).

    https://doi.org/10.1061/(asce)st.1943-541x.0002535

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