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关于预测边坡失稳的数字孪生体的参考文献30篇帮我写一下题目

预测边坡失稳的数字孪生体文献综述参考文献

  1. Bharat Singh, Anand Sharma, Mritunjay Kumar, et al. (2021). Numerical analysis and stability assessment of hillside cut slope: A case study of the Shimla bypass road, India. Journal of African Earth Sciences, 181:104172.
  2. Nagaraj, S., Ravi Prakash Rai and Ramalingam M. (2019). Landslide Susceptibility Mapping Using Convolutional Neural Networks and Long Short-Term Memory Networks. International Journal of Geospatial and Environmental Research, 6(2):12-26.
  3. Song, Y., Liu J., Wang X., et al. (2020). Deep reinforcement learning for identification and classification of slope instability using UAV images. IEEE Transactions on Geoscience and Remote Sensing, 58(10):7538-7549.
  4. Wu C., Zhu Z., Liu W., et al.(2017).Risk Assessment of Slope Stability in Open-Pit Mines Based on GIS Digital Technology.China Safety Science Journal,27(06):98-102.
  5. Zhang Y.H.(2018).Digital twin technology in geotechnical engineering.Journal of Safety Science and Technology,14(03):85-88.
  6. Xu D.G.(2019).Application research of digital twin technology in landslide prediction.Modern Surveying and Mapping,42(05):53-56. 7.Niu X.F,Wang B.C,Yuan L.Y,et al.(2021).Numerical Simulation Analysis on the Stability Control Effect of Anchor Cable Supporting Slope with Jointed Rock Mass—Taking Typical Slope Engineering as an Example .Journal Of Jilin University(Earth Science Edition),51(1):176-186.
  7. Wang J., He W., Hu K., et al.(2018).A Digital Twin Method for Pipeline Structural Health Monitoring Based on Inverse Finite Element Analysis and Fiber Bragg Grating Sensing Technology.Sensors,18(6),1885.
  8. Sun, Z.G., Wang X.H. and Zhou Y.B. (2020). Application of digital twin technology in deep excavation construction: A case study. Journal of Civil Engineering and Management, 26(7):632-643.
  9. Zhang H.W., Tang H.X.(2019).The application research of digital twin technology based on BIM model in geotechnical engineering surveying and mapping.Modern Surveying and Mapping,42(04):64-67+71. 11.Wang M.F,Yu Q.L,Zhang C.X,et al.(2020).Study on Prediction Model of Landslide Deformation Based on Digital Twin .Bulletin of Soil and Water Conservation,40(06):292-297.
  10. Liu G.W., Wu L.D.(2021).Application Study of Slope Stability Analysis Method Based on Deep Learning in Tianshengqiao Hydropower Station.Journal of Anhui University(Natural Science Edition),45(01):52-58+65. 13.Luo L.M,Zhao Q.F,Liu J.P,et al.(2020).Research Progress of Slope Early Warning Technology .Water Resources Development Research,35(S1):168-173+178. 14.Wu F.Z,Li S.J,Huang J.H,et al.(2019).Analysis of the Risk Factors for the Stability Failure of Rock Slopes in Open-Pit Mines .Journal Of Mining Safety Engineering ,36(05):931-937+943.
  11. Chen M., Liu J., Wu Q., et al. (2019). Digital twin-driven intelligent disaster risk assessment model for subway construction in deep soft soil. Tunnelling and Underground Space Technology, 91:103025.
  12. Li G.C,Wang B.C,Li H.Z,et al.(2020).Study on Risk Assessment of Slope Instability Based on Machine Learning Algorithm .Journal Of China University Of Mining And Technology,49(01):1-10.
  13. Dong L.Y., Wang J.F.(2021).Numerical Simulation Analysis of the Influence of Rainfall Factors on the Stability of Rock Slopes.Journal of Chongqing University(Natural Science Edition),44(04):58-64+94. 18.Zhang H.S,Ma C.H,Tian Y.M,et al.(2020).Research Progress and Prospect of Landslide Early Warning Technology .Geological Bulletin Of China ,39(06):1006-1012.
  14. Chen R.L., Wang H.R., Xie S.J., et al. (2018). Deep learning-based landslide detection using high-resolution aerial images from unmanned aerial vehicles.Remote Sensing, 10(8),1227. 20.Peng W.B.(2019).Application Research of Digital Twin Technology in Civil Engineering Surveying and Mapping.Modern Surveying and Mapping,42(03):61-65+72.
  15. Zhou P.Y., Song X.G.(2020).Real-time monitoring method for slope stability based on acoustic emission technology.Journal of Shandong University(Natural Science),55(01):76-84+108.
  16. Xu D.G.(2021).Digital twin technology applied to geotechnical engineering survey.Modern Surveying and Mapping,44(02):16-21+29. 23.Zhao Y.L,Liu J.Y,Zhang L.B,et al.(2021).Slope Stability Prediction Based on Deep Learning .Safety In Coal Mines ,52(02):182-187+191.
  17. Zhang Y., Li W.(2020).Digital twin for smart geotechnical engineering.International Journal of Geomechanics, 20(6),04020040.
  18. Yang C.L., Yu K.H., Liu H.W., et al. (2019). Evaluating slope stability using a deep learning approach in the Three Gorges Reservoir Area, China.Remote Sensing, 11(12),1397. 26.Li X.M,Zhao Z.J,Sun Y.H,et al.(2021).Prediction of Landslide Deformation and Slope Stability Based on Digital Twin Technology .Engineering Science ,23(06):58-68+94. 27.Zhu W.H,Xu S.F,Luo R.S,et al.(2020).Application of Digital Twin Technology in Geotechnical Engineering Surveying and Mapping .Shanxi Architecture ,46(18):189-190+193.
  19. Wang Y.Q., Lin T.P., Lee F.Y.(2019).Long-Term Slope Stability Analysis of Reservoir Embankment Considering Rainfall Effects through a Hybrid Data-Mining Approach.Water,11(11):2348. 29.Chen Z.Q,Wang D.C,Wang W.W,et al.(2021).Development and Application Progress of Digital Twin Technology in Geotechnical Engineering .Journal Of Water Resources And Architectural Engineering ,19(01):95-101+110.
  20. Yang L.M., Zhang J.X.(2018).Evaluation of the stability of high fill slopes based on BP neural network model.Chinese Journal Of Rock Mechanics And Engineering ,37(S2):4224-4230.

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