0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

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. Cheng, Xu / Tang, Hua / Wu, Zhenjun / Qin, Hui / Zhang, Yonghui (2024): Measurement While Drilling Method for Estimating the Uniaxial Compressive Strength of Rocks Considering Frictional Dissipation Energy. In: International Journal of Geomechanics, v. 24, n. 11 (November 2024).

    https://doi.org/10.1061/ijgnai.gmeng-9877

  2. Wang, Yuanzheng / Qin, Hui / Tang, Yu / Zhang, Donghao / Wang, Zhengzheng / Pan, Shengshan (2021): A deep learning network to improve tunnel lining defect identification using ground penetrating radar. In: IOP Conference Series: Earth and Environmental Science, v. 861, n. 4 (1 October 2021).

    https://doi.org/10.1088/1755-1315/861/4/042057

  3. Qin, Hui / Yin, Xiaotao / Tang, Hua / Cheng, Xu / Yuan, Hao (2023): Method of Stress Field and Stability Analysis of Bedding Rock Slope Considering Excavation Unloading. In: KSCE Journal of Civil Engineering, v. 27, n. 10 (September 2023).

    https://doi.org/10.1007/s12205-023-0035-y

  4. Zhai, Junli / Wang, Qiang / Xie, Xiongyao / Qin, Hui / Zhu, Tong / Jiang, Yi / Ding, Hao (2023): A New Method for 3D Detection of Defects in Diaphragm Walls during Deep Excavations Using Cross-Hole Sonic Logging and Ground-Penetrating Radar. In: Journal of Performance of Constructed Facilities (ASCE), v. 37, n. 1 (February 2023).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001776

  5. Qin, Hui / Zhang, Donghao / Tang, Yu / Wang, Yuanzheng (2021): Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation. In: Automation in Construction, v. 130 (October 2021).

    https://doi.org/10.1016/j.autcon.2021.103830

  6. Qin, Hui / Tang, Yu / Wang, Zhengzheng / Xie, Xiongyao / Zhang, Donghao (2021): Shield tunnel grouting layer estimation using sliding window probabilistic inversion of GPR data. In: Tunnelling and Underground Space Technology, v. 112 (June 2021).

    https://doi.org/10.1016/j.tust.2021.103913

  7. Tang, Yu / Ren, Dawei / Qin, Hui / Luo, Chao (2021): New Family of Explicit Structure-Dependent Integration Algorithms with Controllable Numerical Dispersion. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 3 (March 2021).

    https://doi.org/10.1061/(asce)em.1943-7889.0001901

  8. Tang, Yu / Qin, Hui (2020): Stability and accuracy analysis of real-time hybrid simulation (RTHS) with incomplete boundary conditions and actuator delay. In: International Journal of Structural Stability and Dynamics, v. 20, n. 11 (September 2020).

    https://doi.org/10.1142/s0219455420501229

  9. Liu, Xin / Qin, Hui / Lan, Hengxing (2020): On the relationship between soil strength and wave velocities of sandy loess subjected to freeze-thaw cycling. In: Soil Dynamics and Earthquake Engineering, v. 136 (September 2020).

    https://doi.org/10.1016/j.soildyn.2020.106216

  10. Qin, Hui / Xie, Xiongyao / Vrugt, Jasper A. / Zeng, Kun / Hong, Gai (2016): Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion. In: Automation in Construction, v. 68 (August 2016).

    https://doi.org/10.1016/j.autcon.2016.03.011

  11. Qin, Hui / Vrugt, Jasper A. / Xie, Xiongyao / Zhou, Yunxiang (2018): Improved characterization of underground structure defects from two-stage Bayesian inversion using crosshole GPR data. In: Automation in Construction, v. 95 (November 2018).

    https://doi.org/10.1016/j.autcon.2018.08.014

Search for a publication...

Only available with
My Structurae

Full text
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine