Evaluation of initial geostress field of underground powerhouse in the complex alteration area of western Sichuan based on back-propagation neural network method-Reference-Cited by-同舟云学术

Evaluation of initial geostress field of underground powerhouse in the complex alteration area of western Sichuan based on back-propagation neural network method

Published:2025-03-05 Issue:1 Volume:11 Page:
ISSN:2363-8419
Container-title:Geomechanics and Geophysics for Geo-Energy and Geo-Resources
language:en
Short-container-title:Geomech. Geophys. Geo-energ. Geo-resour.

Author:

Zheng Hong,Cao Shiqi,Jiang Quan,Li Shaojun,Xu Dingping,Li Zhiwei

Funder

The National Natural Science Foundation of China

The Young Top-notch Talent Cultivation Program of Hubei Province

Public Bidding and Leadership Project of PowerChina

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40948-025-00949-z.pdf

Reference38 articles.

1. Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Rock Mech 6:189–236

2. Basu A, Celestino T, Bortolucci A (2008) Evaluation of rock mechanical behaviors under uniaxial compression with reference to assessed weathering grades. Rock Mech Rock Eng 42(1):73–93

3. Ding C, Hu D, Zhou H, Lu J, Lv T (2020) Investigations of P-Wave velocity, mechanical behavior and thermal properties of anisotropic slate. Int J Rock Mech Min Sci 127:104176. https://doi.org/10.1016/j.ijrmms.2019.104176

4. Feng XT, Zhou YY, Jiang Q (2019) Rock mechanics’ contributions to recent hydroelectric developments in China. J Rock Mech Geotech Eng 11(3):16. https://doi.org/10.1016/j.jrmge.2018.09.006

5. Feng XT, Wang Z, Zhou Y (2021) Modelling three-dimensional stress-dependent failure of hard rocks. Acta Geotech 16:1647–1677. https://doi.org/10.1007/s11440-020-01110-8