Identification of failure behaviors of underground structures under dynamic loading using machine learning
Understanding the dynamic responses of hard rocks is crucial during deep mining and tunneling activities and when constructing nuclear waste repositories. However, the response of deep massive rocks with openings of different shapes and orientations to dynamic loading is not well understood. Therefo...
Saved in:
Main Authors: | Chun Zhu, Yingze Xu, Manchao He, Yujing Jiang, Murat Karakus, Lihua Hu, Yalong Jiang, Fuqiang Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Journal of Rock Mechanics and Geotechnical Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674775524002634 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of viscosity of blast furnace slag based on NRBO-DNN model
by: Zhe Li, et al.
Published: (2025-04-01) -
Random Frequency Division Multiplexing
by: Chanzi Liu, et al.
Published: (2024-12-01) -
Role of plasticity-induced crack closure in fatigue crack growth
by: Jesús Toribio, et al.
Published: (2013-07-01) -
COMPARISON STUDY ON BEARING CAPACITY OF CIRCULAR AND DIAMOND HOLE LAMINATES UNDER SHEAR LOAD
by: GAO Wei, et al.
Published: (2022-01-01) -
Detection of OSA Through the Application of Deep Learning on Polysomnography Data
by: Hasan Ulutas, et al.
Published: (2024-12-01)