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

Rock alteration leads to the degradation of the physical and mechanical properties of original rock. The spatial variance in the degree of rock alteration significantly influences regional ground stress distribution characteristics. The key problem in the process of ground stress inversion of 3-d geological model of underground powerhouse is that the geological model is difficult to divide reasonable alteration region, and the mechanical parameters of altered rock mass have strong non-uniformity. To solve these problems, a rapid and efficient classification criterion based on exploration-derived geological information was proposed. Additionally, this classification was used to analyze the distribution function of mechanical parameters in surrounding rocks across different alteration grades. The geological data obtained through exploration tunnels reveal that the spatial distribution characteristics of joint lineament density and altered rock development features are closely related to the fault. Based on the development mechanism of altered rocks, the distribution law of alteration is revealed from the perspective of engineering geology. And with the application of the back-propagation neural network method, a new three-dimensional ground stress inversion model that considers the distribution of altered rock was proposed. The inversion results indicate that the ground stress values obtained from the model, which considers the distribution of various alteration grades, correspond closely with the observed ground stress distribution characteristics. Moreover, this result proves that this inversion method is reasonable when obtaining the geostress field at engineering scale across the alteration region as evinced by a comparative study. This inversion method has good applicability to obtain the initial ground stress distribution in the area of structural alteration where the lithology difference is large but there is no obvious lithology boundary.

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Publication Details

Journal
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Published
2025-03-05
DOI
https://doi.org/10.1007/s40948-025-00949-z
Citations
3
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
2.59

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article

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

Shiqi Cao, Zhiwei Li, Hong Zheng, Dingping Xu et al.
3 citations
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Rock Mechanics and Modeling
2.59
article

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

Shiqi Cao, Zhiwei Li, Hong Zheng, Dingping Xu, Shaojun Li, Quan Jiang
article en
3 citations

Abstract

Rock alteration leads to the degradation of the physical and mechanical properties of original rock. The spatial variance in the degree of rock alteration significantly influences regional ground stress distribution characteristics. The key problem in the process of ground stress inversion of 3-d geological model of underground powerhouse is that the geological model is difficult to divide reasonable alteration region, and the mechanical parameters of altered rock mass have strong non-uniformity. To solve these problems, a rapid and efficient classification criterion based on exploration-derived geological information was proposed. Additionally, this classification was used to analyze the distribution function of mechanical parameters in surrounding rocks across different alteration grades. The geological data obtained through exploration tunnels reveal that the spatial distribution characteristics of joint lineament density and altered rock development features are closely related to the fault. Based on the development mechanism of altered rocks, the distribution law of alteration is revealed from the perspective of engineering geology. And with the application of the back-propagation neural network method, a new three-dimensional ground stress inversion model that considers the distribution of altered rock was proposed. The inversion results indicate that the ground stress values obtained from the model, which considers the distribution of various alteration grades, correspond closely with the observed ground stress distribution characteristics. Moreover, this result proves that this inversion method is reasonable when obtaining the geostress field at engineering scale across the alteration region as evinced by a comparative study. This inversion method has good applicability to obtain the initial ground stress distribution in the area of structural alteration where the lithology difference is large but there is no obvious lithology boundary.

Geomechanics and Geophysics for Geo-Energy and Geo-ResourcesVol. 11(1)
CCCC Highway Consultants (China) (CN), Institute of Rock and Soil Mechanics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Rock Mechanics and Modeling
2.59
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