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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. Zhang, Shengfei / Ni, Pinghe / Wen, Jianian / Han, Qiang / Du, Xiuli / Xu, Kun (2024): Automated vision-based multi-plane bridge displacement monitoring. In: Automation in Construction, v. 166 (Oktober 2024).

    https://doi.org/10.1016/j.autcon.2024.105619

  2. Li, Qiang / Ni, Pinghe / Du, Xiuli / Han, Qiang / Xu, Kun / Bai, Yulei (2024): Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion. In: Engineering Structures, v. 316 (Oktober 2024).

    https://doi.org/10.1016/j.engstruct.2024.118606

  3. Ni, Pinghe / Zhou, Run / Han, Qiang / Du, Xiuli / Xu, Kun / Jia, Zhenlei / Bai, Yulei (2024): A novel wireless IoT sensing system for cable force identification and monitoring. In: Engineering Structures, v. 314 (September 2024).

    https://doi.org/10.1016/j.engstruct.2024.118318

  4. Li, Qiang / Du, Xiuli / Ni, Pinghe / Han, Qiang / Xu, Kun / Yuan, Zhishen (2024): Efficient Bayesian inference for finite element model updating with surrogate modeling techniques. In: Journal of Civil Structural Health Monitoring, v. 14, n. 4 (Februar 2024).

    https://doi.org/10.1007/s13349-024-00768-y

  5. Zhang, Shengfei / Ni, Pinghe / Wen, Jianian / Han, Qiang / Du, Xiuli / Xu, Kun (2024): Non-contact impact load identification based on intelligent visual sensing technology. In: Structural Health Monitoring, v. 23, n. 6 (Februar 2024).

    https://doi.org/10.1177/14759217241227365

  6. Ni, Pinghe / Yin, Zhangyao / Han, Qiang / Du, Xiuli (2023): Output-only structural identification with random decrement technique. In: Structures, v. 51 (Mai 2023).

    https://doi.org/10.1016/j.istruc.2023.02.128

  7. Han, Qiang / Ni, Pinghe / Du, Xiuli / Zhou, Hongyuan / Cheng, Xiaowei (2022): Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling. In: Structural Control and Health Monitoring, v. 29, n. 6 (11 April 2022).

    https://doi.org/10.1002/stc.2936

  8. Ni, Pinghe / Han, Qiang / Du, Xiuli / Cheng, Xiaowei / Zhou, Hongyuan (2022): Data-driven approach for post-earthquake condition and reliability assessment with approximate Bayesian computation. In: Engineering Structures, v. 256 (April 2022).

    https://doi.org/10.1016/j.engstruct.2022.113940

  9. Jiang, Kejie / Han, Qiang / Du, Xiuli / Ni, Pinghe (2021): Structural dynamic response reconstruction and virtual sensing using a sequence to sequence modeling with attention mechanism. In: Automation in Construction, v. 131 (November 2021).

    https://doi.org/10.1016/j.autcon.2021.103895

  10. Ni, Pinghe / Li, Jun / Hao, Hong / Zhou, Hongyuan (2021): Reliability based design optimization of bridges considering bridge-vehicle interaction by Kriging surrogate model. In: Engineering Structures, v. 246 (November 2021).

    https://doi.org/10.1016/j.engstruct.2021.112989

  11. Zhou, Hongyuan / Zhang, Guangcai / Wang, Xiaojuan / Ni, Pinghe / Zhang, Jian (2021): Structural identification using improved butterfly optimization algorithm with adaptive sampling test and search space reduction method. In: Structures, v. 33 (Oktober 2021).

    https://doi.org/10.1016/j.istruc.2021.05.043

  12. Jiang, Kejie / Han, Qiang / Du, Xiuli / Ni, Pinghe (2021): A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 6 (27 Mai 2021).

    https://doi.org/10.1111/mice.12641

  13. Ni, Pinghe / Li, Jun / Hao, Hong / Xia, Yong / Du, Xiuli (2019): Stochastic dynamic analysis of marine risers considering fluid-structure interaction and system uncertainties. In: Engineering Structures, v. 198 (November 2019).

    https://doi.org/10.1016/j.engstruct.2019.109507

  14. Wang, Xiaojuan / Zhang, Guangcai / Wang, Xiaomei / Ni, Pinghe (2020): Output-only structural parameter identification with evolutionary algorithms and correlation functions. In: Smart Materials and Structures, v. 29, n. 3 (27 Januar 2020).

    https://doi.org/10.1088/1361-665x/ab6ce9

  15. Ni, Pinghe / Xia, Yong / Law, Siu-seong / Zhu, Songye (2014): Structural Damage Detection Using Auto/Cross-Correlation Functions Under Multiple Unknown Excitations. In: International Journal of Structural Stability and Dynamics, v. 14, n. 5 (Juni 2014).

    https://doi.org/10.1142/s0219455414400069

  16. Ni, Pinghe / Li, Jun / Hao, Hong / Xia, Yong / Wang, Xiangyu / Lee, Jae-Myung / Jung, Kwang-Hyo (2018): Time-varying system identification using variational mode decomposition. In: Structural Control and Health Monitoring, v. 25, n. 6 (Juni 2018).

    https://doi.org/10.1002/stc.2175

  17. Pathirage, Chathurdara Sri Nadith / Li, Jun / Li, Ling / Hao, Hong / Liu, Wanquan / Ni, Pinghe (2018): Structural damage identification based on autoencoder neural networks and deep learning. In: Engineering Structures, v. 172 (Oktober 2018).

    https://doi.org/10.1016/j.engstruct.2018.05.109

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