Parameter Inversion and Deformation Prediction of Cavern Groups via Machine Learning-Reference-Cited by-同舟云学术

Parameter Inversion and Deformation Prediction of Cavern Groups via Machine Learning

Published:2024-04-19 Issue: Volume:39 Page:243-248
ISSN:
Container-title:Proceedings of the 2024 International Academic Conference on Edge Computing, Parallel and Distributed Computing
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Author:

Chen Zhanghua¹^ORCID,Wang Wenjun²^ORCID,Zhu Qizhi²^ORCID,Zhou Shuguang¹^ORCID,Su Chao²^ORCID

Affiliation:

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

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

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3677404.3677446

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.