Citation: | Ming-jie He, Hao Li, Jian-rong Xu, Huan-ling Wang, Wei-ya Xu, Shi-zhuang Chen. 2021: Estimation of unloading relaxation depth of Baihetan Arch Dam foundation using long-short term memory network. Water Science and Engineering, 14(2): 149-158. doi: 10.1016/j.wse.2021.06.003 |
Chen, B.-R., Li, Q.-P., Feng, X.-T., Xiao, Y.-X., Feng, G.-L., Hu, L.-X., 2014. Microseismic monitoring of columnar jointed basalt fracture activity: A trial at the baihetan hydropower station, China. J. Seismol. 18, 773-793. http://doi.org/10.1007/s10950-014-9445-0.
|
Cui, J., Jiang, Q., Feng, X., Li, S., Liu, J., Chen, W., Zhang, J., Pei, S., 2018. Insights into statistical structural characteristics and deformation properties of columnar jointed basalts: Field investigation in the baihetan dam base, China. Bull. Eng. Geol. Environ. 77, 775-790. http://doi.org/10.1007/s10064-017-1029-0.
|
Ertam, F., 2019. An effective gender recognition approach using voice data via deeper LSTM networks. Appl. Acoust. 156, 351-358. https://doi.org/10.1016/j.apacoust.2019.07.033.
|
Fan, Q., Wang, Z., Xu, J., Zhou, M., Jiang, Q., Li, G., 2018. Study on deformation and control measures of columnar jointed basalt for Baihetan Super-High Arch Dam foundation. Rock Mech. Rock Eng. 51, 2569-2595. http://doi.org/10.1007/s00603-017-1378-9.
|
Fei, S.P., Feng, X.T., Zhang, J.C., Wang, P.F., Jiang, Q., Zhou, Y.Y., Hao, X.J., Liu, J.F., 2018. Loosing characteristics of columnar jointed basalts in high-slope dam foundation during excavation and time-dependent Rock Soil Mech. 39(10), 3743-3754 (in Chinese). http://doi.org/10.16285/j.rsm.2018.0153.
|
Gers, F.A., Schmidhuber, J., Cummins, F., 2000. Learning to forget: Continual prediction with LSTM. Neural Comput., 12(10), 2451-2471. https://doi.org/10.1162/089976600300015015.
|
Gers, F.A., Eck, D., Schmidhuber, J., 2002. Applying LSTM to Time Series Predictable through Time-Window Approaches. Springer London, London, pp. 193-200. https://doi.org/10.1007/3-540-44668-0_93.
|
Graves, A., Fernandez, S., Schmidhuber, J. 2005. Bidirectional LSTM networks for improved phoneme classification and recognition. In: Proceedings of International Conference on Artificial Neural Networks. Springer, pp. 799-804. https://doi.org/10.1007/11550907_126.
|
Greff, K., Srivastava, R.K., Koutnik, J., Steunebrink, B.R., Schmidhuber, J., 2017. Lstm: A search space odyssey. IEEE Trans. Neural Netw. Learn Syst. 28(10), 2222-2232. https://doi.org/10.1109/TNNLS.2016.2582924.
|
Hao, X.J., Feng, X.T., Li, S.J., Jiang, Q., Duan, S.Q., Li, S.J., Yao, Z.B., 2015. Failure mode of columnar jointed basalt tunnel and its mechanism simulation. Rock Soil Mech. 36(3), 837-846 (in Chinese). https://doi.org/10.16285/j.rsm.2015.03.030.
|
Hatzor, Y.H., Feng, X.-T., Li, S., Yagoda-Biran, G., Jiang, Q., Hu, L., 2015. Tunnel reinforcement in columnar jointed basalts: The role of rock mass anisotropy. Tunn. Undergr. Space Technol. 46, 1-11. https://doi.org/10.1016/j.tust.2014.10.008.
|
Hinton, G.E., Osindero, S., Teh, Y.-W., 2006. A fast learning algorithm for deep belief nets. Neural Comput. 18, 1527-1554. https://doi.org/10.1162/neco.2006.18.7.1527.
|
Hochreiter, S., Schmidhuber, J., 1997. Long short-term memory. Neural Comput. 9(8), 1735-1780, https://doi.org/10.1162/neco.1997.9.8.1735.
|
Jiang, Q., Feng, X.T., Hatzor, Y.H., Hao, X.J., Li, S.J., 2014. Mechanical anisotropy of columnar jointed basalts: An example from the Baihetan Hydropower Station, China. Eng. Geol. 175, 35-45. https://doi.org/10.1016/j.enggeo.2014.03.019.
|
Jiang, Q., Wang, B., Feng, X.-T., Fan, Q.-X., Wang, Z., Pei, S., Jiang, S., 2019. In situ failure investigation and time-dependent damage test for columnar jointed basalt at the Baihetan left dam foundation. Bull. Eng. Geol. Environ. 78, 3875-3890, https://doi.org/10.1007/s10064-018-1399-y.
|
Jin, C.-Y., Feng, X.-T., Zhang, C.-S., 2010. Research on initial stress field of baihetan hydropower station. Rock Soil Mech. (3), 845-850 (in Chinese). https://doi.org/10.16285/j.rsm.2010.03.025.
|
Kalchbrenner, N., Danihelka, I., Graves, A., 2015. Grid Long-Short Term Memory. Cornel University Press, New York. http//arxiv.org/abs/1507.01526w3 [Retrieved May 02, 2021].
|
Khokhlova, M., Migniot, C., Morozov, A., Sushkova, O., Dipanda, A., 2019. Normal and pathological gait classification LSTM model. Artif. Intell. Med. 94, 54-66. https://doi.org/10.1016/j.artmed.2018.12.007.
|
Lin, P., Shi, J., Wei, P., Fan, Q., Wang, Z., 2019. Shallow unloading deformation analysis on Baihetan super-high arch dam foundation. Bull. Eng. Geol. Environ. 78, 5551-5568. https://doi.org/10.1007/s10064-019-01484-4.
|
Meng, Q.-X., Wang, H.-L., Xu, W.-Y., Chen, Y.-L., 2019. Numerical homogenization study on the effects of columnar jointed structure on the mechanical properties of rock mass. Int. J. Rock Mech. Min. Sci. 124. https://doi.org/10.1016/j.ijrmms.2019.104127.
|
Meng, Q., Wang, H., He, M., Gu, J., Qi, J., Yang, L., 2020. Displacement prediction of water-induced landslides using a recurrent deep learning model. Eur. J. Environ. Civ. Eng. 1-15, https://doi.org/10.1080/19648189.2020.1763847.
|
Michielli, N., Acharya, U.R., Molinari, F., 2019. Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals. Comput. Biol. Med. 106, 71-81. https://doi.org/10.1016/j.compbiomed.2019.01.013.
|
Olah, C. 2015. Understanding LSTM networks. GIithub blog. https://colah.github.io/posts/2015-08-Understanding-LSTMs/[Retrieved May 10, 2021].
|
Ordonez, F.J., Roggen, D., 2016. Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition. Sensors 16, 115. https://doi.org/10.3390/s16010115.
|
Shan, Z.-G., Di, S.-J., 2013. Loading-unloading test analysis of anisotropic columnar jointed basalts. J. Zhejiang Univ.: Sci. A 14, 603-614. https://doi.org/10.1631/jzus.A1200261.
|
Shao, J.F., Chau, K.T., Feng, X.T., 2006. Modeling of anisotropic damage and creep deformation in brittle rocks. Int. J. Rock Mech. Min. Sci. 43(4), 582-592. https://doi.org/10.1016/j.ijrmms.2005.10.004.
|
Wei, Y., Xu, M., Wang, W., Shi, A., Tang, M., Ye, Z., 2011. Feasibility of columnar jointed basalt used for high-arch dam foundation. J. Rock Mech. Geotech. Eng. 3, 461-468. https://doi.org/10.3724/SP.J.1235.2011.00461.
|
Xu, W.Y., Jiang, H., Xie, S.Y., Ping, J. 1999. Rock slope deform ation prediction by artificial neural netw ork method in three Gorges project. Rock Soil Mech. (2), 27-31 (in Chinese). https://doi.org/10.16285/j.rsm.1999.02.007.
|
Xu, W.-Y., Zheng, W.-T., Shi, A.-C., 2011. Classification and quality assessment of irregular columnar jointed basaltic rock mass for hydraulic engineering. J. Hydraul. Eng. 42, 262-270 (in Chinese). https://doi.org/10.13243/j.cnki.slxb.2011.03.013.
|
Zhang, Y., Li, M., Han, S., 2018. Automatic identification and classification in lithology based on deep learning in rock images. Acta Petrol. Sin. 34, 333-342. https://doi.org/10.000569/2018/03402.0333.42. doi: 10.1117/12.2503529
|
Zhong, D., Liu, Y., Cheng, L., Yang, Q., Chen, Y., 2019. Study of unloading relaxation for excavation based on unbalanced force and its application in Baihetan Arch Dam. Rock Mech. Rock Eng. 52, 1819-1833, https://doi.org/10.1007/s00603-018-1653-4.
|