Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network
Accurately determining the mechanical parameters of surrounding rock in tunnel design and construction presents a significant challenge due to the complexity of the environment. This study proposes a novel approach for inverting these parameters using an advanced optimization method, the Improved Gr...
Saved in:
Main Authors: | Chen Zhang, Qiunan Chen, Wenbing Zhou, Xiaocheng Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/2/537 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of FDA Discriminant Analysis Methodin Classification of Tunnel Surrounding Rocks
by: CHEN Liang, et al.
Published: (2020-01-01) -
Analytical Solution for Surrounding Rock Pressure of Deep-Buried Four-Hole Closely Spaced Double-Arch Tunnel
by: Xianghao Sun, et al.
Published: (2025-01-01) -
Deformation and failure characteristics of soft rock tunnel surrounding rock under mining and water immersion conditions
by: XIE Panshi, et al.
Published: (2024-12-01) -
Research on Stability of Utralong and Deep-Buried Tunnel Surrounding Rocks Based on GA-GRNN Geostress Field Inversion
by: GUO Chong, et al.
Published: (2024-01-01) -
Simulation Analysis of Surrounding Rock Stability of Three-dimensional Cross Underground Cavern Group
by: ZHOU Yong, et al.
Published: (2020-01-01)