Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion
The in situ stress field is the fundamental factor causing deformation and damage in geotechnical engineering, so it is the main basis for underground engineering design and excavation. However, it is difficult to accurately obtain the in situ stress through most existing inversion methods in areas...
Saved in:
Main Authors: | Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/4396168 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Optimization Algorithm for Large-Scale In Situ Stress Field
by: Fei Li, et al.
Published: (2021-01-01) -
Effects of Unidirectional In Situ Stress on Crack Propagation of a Jointed Rock Mass Subjected to Stress Wave
by: Zhanfeng Fan, et al.
Published: (2021-01-01) -
Electromagnetic Fields, Oxidative Stress, and Neurodegeneration
by: Claudia Consales, et al.
Published: (2012-01-01) -
Characteristics of In Situ Stress and Reservoir Pressure in Deep Coal Seams and Their Influences on Reservoir Depletion: A Field Case Study
by: Rui Li, et al.
Published: (2023-01-01) -
Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network
by: Chen Zhang, et al.
Published: (2025-01-01)