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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. Zuo, Haoran / Zhang, Jian / Bi, Kaiming / Zhu, Songye / Hao, Hong / Ma, Ruisheng (2023): Structural vibration control of spar-buoy floating offshore wind turbines. In: Engineering Structures, v. 294 (November 2023).

    https://doi.org/10.1016/j.engstruct.2023.116732

  2. Tan, Dong / Li, Jun / Hao, Hong / Nie, Zhenhua (2023): Target-free vision-based approach for modal identification of a simply-supported bridge. In: Engineering Structures, v. 279 (März 2023).

    https://doi.org/10.1016/j.engstruct.2022.115586

  3. Li, Jun / Hao, Hong / Wang, Ruhua / Li, Ling (2022): Structural damage quantification using ensemble‐based extremely randomised trees and impulse response functions. In: Structural Control and Health Monitoring, v. 29, n. 10 (13 September 2022).

    https://doi.org/10.1002/stc.3033

  4. Cui, Yanqiang / Hao, Hong / Li, Jun / Chen, Wensu / Zhang, Xihong (2022): Structural behavior and vibration characteristics of geopolymer composite lightweight sandwich panels for prefabricated buildings. In: Journal of Building Engineering, v. 57 (Oktober 2022).

    https://doi.org/10.1016/j.jobe.2022.104872

  5. Xu, Mingqiang / Wu, Wenkai / Li, Jun / Au, Francis T. K. / Wang, Shuqing / Hao, Hong / Yang, Ning (2022): Structural damage detection using low-rank matrix approximation and cointegration analysis. In: Engineering Structures, v. 267 (September 2022).

    https://doi.org/10.1016/j.engstruct.2022.114677

  6. Pournasiri, Emad / Pham, Thong M. / Hao, Hong (2022): Structural performance evaluation of UHPC/conventional concrete cast on new Y-shape FRP stay-in-place formwork for concrete bridge decks. In: Structures, v. 41 (Juli 2022).

    https://doi.org/10.1016/j.istruc.2022.05.070

  7. Peng, zhen / Li, Jun / Hao, Hong (2022): Structural damage detection via phase space based manifold learning under changing environmental and operational conditions. In: Engineering Structures, v. 263 (Juli 2022).

    https://doi.org/10.1016/j.engstruct.2022.114420

  8. Li, Jun / Hao, Hong / Lo, Juin Voon (2015): Structural damage identification with power spectral density transmissibility: numerical and experimental studies. In: Smart Structures and Systems, v. 15, n. 1 (Januar 2015).

    https://doi.org/10.12989/sss.2015.15.1.015

  9. Xu, Mingqiang / Li, Jun / Wang, Shuqing / Hao, Hong / Tian, Huiyuan / Han, Jie (2022): Structural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data. In: Advances in Structural Engineering, v. 25, n. 8 (April 2022).

    https://doi.org/10.1177/13694332221079090

  10. Huang, Zhijie / Chen, Wensu / Hao, Hong / Aurelio, Roland / Li, Zhixing / Pham, Thong M. (2022): Test of Dynamic Mechanical Properties of Ambient-Cured Geopolymer Concrete Using Split Hopkinson Pressure Bar. In: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 2 (Februar 2022).

    https://doi.org/10.1061/(asce)mt.1943-5533.0004074

  11. Zheng, Wenzhi / Wang, Hao / Hao, Hong / Bi, Kaiming (2021): Superelastic CuAlBe wire-based sliding lead rubber bearings for seismic isolation of bridges in cold regions. In: Engineering Structures, v. 247 (November 2021).

    https://doi.org/10.1016/j.engstruct.2021.113102

  12. Xu, Mingqiang / Guo, Jian / Wang, Shuqing / Li, Jun / Hao, Hong (2021): Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression. In: Structural Control and Health Monitoring, v. 28, n. 6 (April 2021).

    https://doi.org/10.1002/stc.2729

  13. Li, Jun / Hao, Hong (2014): Substructure damage identification based on wavelet-domain response reconstruction. In: Structural Health Monitoring, v. 13, n. 4 (Februar 2014).

    https://doi.org/10.1177/1475921714532991

  14. Ding, Zhenghao / Li, Jun / Hao, Hong (2020): Structural damage identification by sparse deep belief network using uncertain and limited data. In: Structural Control and Health Monitoring, v. 27, n. 5 (Mai 2020).

    https://doi.org/10.1002/stc.2522

  15. Cui, Jian / Hao, Hong / Shi, Yanchao (2018): Study of concrete damage mechanism under hydrostatic pressure by numerical simulations. In: Construction and Building Materials, v. 160 (Januar 2018).

    https://doi.org/10.1016/j.conbuildmat.2017.11.083

  16. Bi, Kaiming / Hao, Hong / Li, Chao / Li, Hongnan (2017): Stochastic seismic response analysis of buried onshore and offshore pipelines. In: Soil Dynamics and Earthquake Engineering, v. 94 (März 2017).

    https://doi.org/10.1016/j.soildyn.2017.01.005

  17. Li, Chao / Hao, Hong / Li, Hongnan / Bi, Kaiming (2015): Theoretical modeling and numerical simulation of seismic motions at seafloor. In: Soil Dynamics and Earthquake Engineering, v. 77 (Oktober 2015).

    https://doi.org/10.1016/j.soildyn.2015.05.016

  18. Chouw, Nawawi / Hao, Hong (2005): Study of SSI and non-uniform ground motion effect on pounding between bridge girders. In: Soil Dynamics and Earthquake Engineering, v. 25, n. 7-10 (August 2005).

    https://doi.org/10.1016/j.soildyn.2004.11.015

  19. Kuddus, Mir Abdul / Li, Jun / Hao, Hong / Li, Chao / Bi, Kaiming (2019): Target-free vision-based technique for vibration measurements of structures subjected to out-of-plane movements. In: Engineering Structures, v. 190 (Juli 2019).

    https://doi.org/10.1016/j.engstruct.2019.04.019

  20. Ding, Zhenghao / Li, Jun / Hao, Hong / Lu, Zhong-Rong (2019): Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm. In: Engineering Structures, v. 185 (April 2019).

    https://doi.org/10.1016/j.engstruct.2019.01.118

  21. Khan, Musaad Zaheer Nazir / Shaikh, Faiz Uddin Ahmed / Hao, Yifei / Hao, Hong (2016): Synthesis of high strength ambient cured geopolymer composite by using low calcium fly ash. In: Construction and Building Materials, v. 125 (Oktober 2016).

    https://doi.org/10.1016/j.conbuildmat.2016.08.097

  22. Ma, Shenglan / Li, Jun / Hao, Hong / Jiang, Shaofei (2017): Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation. In: Advances in Structural Engineering, v. 21, n. 2 (August 2017).

    https://doi.org/10.1177/1369433217717114

  23. Yang, Haibo / Yin, Xiaochun / Hao, Hong / Bi, Kaiming (2015): Theoretical Investigation of Bridge Seismic Responses with Pounding under Near-Fault Vertical Ground Motions. In: Advances in Structural Engineering, v. 18, n. 4 (April 2015).

    https://doi.org/10.1260/1369-4332.18.4.453

  24. Bakhary, Norhisham / Hao, Hong / Deeks, Andrew J. (2010): Structure Damage Detection Using Neural Network with Multi-Stage Substructuring. In: Advances in Structural Engineering, v. 13, n. 1 (Februar 2010).

    https://doi.org/10.1260/1369-4332.13.1.95

  25. Li, Zhan / Chen, Li / Fang, Qin / Hao, Hong / Zhang, Yadong / Chen, Wensu / Xiang, Hengbo / Bao, Qi (2017): Study of autoclaved aerated concrete masonry walls under vented gas explosions. In: Engineering Structures, v. 141 (Juni 2017).

    https://doi.org/10.1016/j.engstruct.2017.03.033

  26. Ganjavi, Behnoud / Hao, Hong (2014): Strength reduction factor for MDOF soil-structure systems. In: The Structural Design of Tall and Special Buildings, v. 23, n. 3 (25 Februar 2014).

    https://doi.org/10.1002/tal.1022

  27. Lacey, Andrew William / Chen, Wensu / Hao, Hong / Bi, Kaiming (2018): Structural response of modular buildings – An overview. In: Journal of Building Engineering, v. 16 (März 2018).

    https://doi.org/10.1016/j.jobe.2017.12.008

  28. 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

  29. Bakhary, Norhisham / Hao, Hong / Deeks, Andrew J. (2010): Substructuring Technique for Damage Detection Using Statistical Multi-Stage Artificial Neural Network. In: Advances in Structural Engineering, v. 13, n. 4 (August 2010).

    https://doi.org/10.1260/1369-4332.13.4.619

  30. Li, Jun / Hao, Hong (2016): Substructural interface force identification with limited vibration measurements. In: Journal of Civil Structural Health Monitoring, v. 6, n. 3 (Juli 2016).

    https://doi.org/10.1007/s13349-016-0157-8

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