Results 41 to 50 of about 1,591 (253)

Research on blasting cumulative dynamic damage of surrounding rock in step construction tunnel

Scientific Reports, 2023
In the process of cyclic blasting during tunnel excavation, the reserved surrounding rock sustains irreparable damage accumulation. For safe tunnel construction, it is imperative to understand the characteristics of blasting dynamic cumulative rock ...
Yaozhong Cui, Bo Wu, Guowang Meng, Shixiang Xu   +3 more
doaj   +1 more source

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source

Construction Optimization of Shallow Railway Tunnels under Unsymmetrical Pressure for Reducing Blasting Over-excavation

Chengshi guidao jiaotong yanjiu
Objective Over-excavation in tunnel construction, mainly caused by inappropriate blasting,will affect the smooth progress and safety of tunnel excavation, increase construction cost and reduce economic benefits.
YUAN Fengjie, WANG Haoqian, SONG Guanping, YUAN Lang, GAO Hang, XU Qianwei   +5 more
doaj   +1 more source

Application Analysis of Blasting Construction in Tunnel Excavation

Academic Journal of Science and Technology, 2023
This article combines the engineering background and relies on geological conditions and blasting construction methods to briefly analyze the necessity of applying tunnel blasting construction technology and the influencing factors of the rear support structure of the palm face.
openaire   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Dynamic response at the terminus of oblique intersecting joints subjected to stress waves

Deep Underground Science and Engineering, EarlyView.
This study derives the propagation equation for stress waves impinging upon nonlinear oblique intersecting joints. It analyzes the dynamic response at the terminus of nonlinear oblique intersecting joints subjected to stress waves. Abstract To investigate the dynamic response at the terminus of oblique intersecting joints subjected to stress waves, a ...
Gang Hu, Xiang Chen, Honglu Fei, Shijie Bao, Jian Guo   +4 more
wiley   +1 more source

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Semi-supervised method for tunnel blasting quality prediction using measurement while drilling data

Journal of Rock Mechanics and Geotechnical Engineering
Predicting blasting quality during tunnel construction holds practical significance. In this study, a new semi-supervised learning method using convolutional variational autoencoder (CVAE) and deep neural network (DNN) is proposed for the prediction of ...
Hengxiang Jin, Qian Fang, Jun Wang, Jiayao Chen, Gan Wang, Guoli Zheng   +5 more
doaj   +1 more source

Amplitude Spectra of Blasting Vibration in Tunnel Excavation.

Shigen-to-Sozai, 1992
It is important to evaluate the damage of architectures and structures caused by blasting vibration. In this paper, 1) the characteristics of spectra was presented, 2) blasting vibration were observed in underground and on a ground surface, and 3) a simple numerical model was proposed to explain the spectra of the vibration.
HIRATA, Atsuo, ISHIYAMA, Koji, KANEKO, Katsuhiko   +2 more
openaire   +2 more sources

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source