Results 61 to 70 of about 412 (171)

Study on the Energy Evolution and Stability of Roadway Surrounding Rock Under the “Simultaneous Mining–Driving” Condition

Energy Science &Engineering, Volume 14, Issue 4, Page 2225-2247, April 2026.
Based on theoretical analysis, the energy‐evolution behavior of the surrounding rock at various depths on the solid‐coal side of the 221303 material roadway during the “advancing‐toward‐mining” process was first clarified. Numerical simulations were then performed to validate and elaborate on the theoretical results.
Wei Zhang, Peilin Gong, Kang Yi, Guang Wen, Libin Bai, Lizhu Liu, Chen Gong, Peng Li   +7 more
wiley   +1 more source

Rockburst prediction based on multi-featured drilling parameters and extreme tree algorithm for full-section excavated tunnel faces

Journal of Rock Mechanics and Geotechnical Engineering
The suddenness, uncertainty, and randomness of rockbursts directly affect the safety of tunnel construction. The prediction of rockbursts is a fundamental aspect of mitigating or even eliminating rockburst hazards.
Wenhao Yi, Mingnian Wang, Qinyong Xia, Yongyi He, Hongqiang Sun   +4 more
doaj   +1 more source

Landslide Activity in the European Alps ‐ Part 1: A Machine Learning Based Instrumental Catalog From the Analysis of Seismological Data

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Landslides in the European Alps are a growing concern in the context of climate change. However, landslide catalogs for the European Alps remain incomplete, often lacking precise timing and containing few, if any, entries for remote areas.
Charlotte Groult, Clément Hibert, Jean‐Philippe Malet, Anthony Lomax, Floriane Provost   +4 more
wiley   +1 more source

Stress analysis of crack characteristic of anthracite under dynamic loading

Deep Underground Science and Engineering, Volume 5, Issue 1, Page 56-65, March 2026.
In this article, the dynamic compression test of anthracite under five strain rates is carried out, the evolution law of three kinds of crack characteristic stress is analyzed, and a prediction model of the crack characteristic stress threshold considering the strain rate effect is established. Then, the rationality of crack characteristic stress under
Yun Bai, Feng Gao, Ning Luo, Zhizhen Zhang, Yue Niu, Shanjie Su   +5 more
wiley   +1 more source

Mechanism and Predicting Theory-Based of Rockburst Evolution [PDF]

, 2017
Mechanism and predicting of rockburst is complicated, and there is no mechanism and prediction model to explain the occurrence of rockburst satisfactorily. In this chapter, the mechanism of rockburst stress-energy evolution is obtained by analyzing the pre-peak stage of rock compressive deformation.
openaire   +1 more source

Experimental and constitutive modeling investigations on marble in Jinping Underground Laboratory

Deep Underground Science and Engineering, Volume 5, Issue 1, Page 193-206, March 2026.
The objective of this study is to reveal the underlying mechanisms behind the brittle‐ductile transition of the marble through a combination of experimental research and constitutive modeling. A series of triaxial compression and triaxial cyclic loading tests are conducted.
Susheng Wang, Qiang Zhang, Hao Luo, Zhinan Lin   +3 more
wiley   +1 more source

Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network

Advances in Civil Engineering, 2019
A rockburst prediction model of the entropy weight grey relational backpropagation (BP) neural network is developed. The model needs to select the evaluation factors according to the engineering practice and establish the sample library.
Yuchao Zheng, Heng Zhong, Yong Fang, Wensheng Zhang, Kai Liu, Jing Fang   +5 more
doaj   +1 more source

Dynamic Probabilistic Prediction of Rockburst Using a Dual‐Modality Model With Multisource Monitoring Data

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
Rockburst, due to its suddenness, randomness, and harmfulness, is one of the main factors restricting the safe construction of deep underground engineering. To achieve accurate prediction of rockburst occurrence probability, a dataset for drilling and blasting (D&B) tunnel construction was established using microseismic (MS) and geological data ...
Yong Xia, Xiya Li, Xin Li, Yifan He, Huabo Xiao, Longxiang Zhao, Yi Deng, Camelia Delcea   +7 more
wiley   +1 more source

Research Progress and Typical Cases of Deep Mines Backfill Technology in China

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
With the increasing depletion of shallow mineral resources and the growing demand for metals, deep mining has become a strategic focus for China. However, deep mining operations face a series of complex challenges, including high ground stress, elevated geothermal gradients, and severe rockburst hazards.
Shuai Li, Zhenyu Dan, Haoxuan Yu, Zhenzhong Xiang, Junyu Chen, Luyu Wang   +5 more
wiley   +1 more source

Binary Segmentation Algorithm Selection and Hyperparameters Optimization of Blasted Rock Image

Journal of Engineering, Volume 2026, Issue 1, 2026.
Due to the severe noise and complex texture of blasted rock, selecting an appropriate binary segmentation algorithm is essential. This study evaluates nine common local thresholding methods for segmenting blasted rock images, with a focus on hyperparameter optimization of the highly adaptable Phansalkar algorithm.
Shihao Zhang, Qinpeng Guo, Shijiao Yang, Himadri Majumder   +3 more
wiley   +1 more source