Parameter Inversion and Deformation Prediction of Cavern Groups via Machine Learning

Author:

Chen Zhanghua1ORCID,Wang Wenjun2ORCID,Zhu Qizhi2ORCID,Zhou Shuguang1ORCID,Su Chao2ORCID

Affiliation:

1. Chongqing Panlong Pumped Storage Power Plant Co., Ltd., China

2. College of Water Conservancy and Hydropower Engineering, Hohai University, China

Publisher

ACM

Reference10 articles.

1. Deformation characteristics and feedback analysis of surrounding rock of underground powerhouse at left bank of wudongde hydropower station;Dong Z.H.;Rock and Soil Mechanics,2018

2. Monitoring Feedback and Forecast Analysis on Excavation of the Upper Part of Houziyan Underground Powerhouse;Yang Q.;Chinese Journal of Underground Space and Engineering,2016

3. Deformation Characteristics and Feedback Analysis of Surrounding Rock of Large Underground Powerhouses Excavated;Ding X.L.;Steeply Dipped Sedimentary Rock Strata. Chinese Journal of Rock Mechanics and Engineering,2008

4. Application of Displacement Back Analysis in the Excavation of Underground Powerhouse;Gao C.Y.;South-to-North Water Transfers and Water Science & Technology,2012

5. Zhang, S.R., Hu, A.K., Wang, C., Shao, P.Z., Tan, Y.S. Real-time dynamic inversion of surrounding rock mechanical parameters during construction of large-scale underground cavern group. Journal of Hohai University(Natural Sciences), 2016, 44:189-195.

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