Assessment of the ground vibration during blasting in mining projects using different computational approaches
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …
models to introduce an optimum computational model to assess the ground vibrations …
Investigation of the rock mass state in the near-wall part of the quarry and its stability management
Introduction: The research is aimed to identify the vulnerable areas of quarry slopes through
the creation of a stress-strain state model for the rock mass at the Vostochny quarry, East …
the creation of a stress-strain state model for the rock mass at the Vostochny quarry, East …
Experimental data–driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools
In the current investigation, an intriguing method called Firefly-XGBoost was put up to predict
and integrate blast muck-pile results notably drop, throw, and lateral spread, which are …
and integrate blast muck-pile results notably drop, throw, and lateral spread, which are …
Evaluation and Prediction of Blast-Induced Ground Vibrations: A Gaussian Process Regression (GPR) Approach
Ground vibration is one of the most hazardous outcomes of blasting. It has a negative impact
both on the environment and the human population near to the blasting area. To evaluate …
both on the environment and the human population near to the blasting area. To evaluate …
[HTML][HTML] Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach
Flyrock is a significant environmental and safety concern in mining and construction. It arises
from various geological and blast design factors, posing risks to workers, machinery, and …
from various geological and blast design factors, posing risks to workers, machinery, and …
Enhancing weathered slope stability assessment through the integration of slake durability index, elastic modulus of knocking ball, and electrical resistivity …
This research assesses the stability of sedimentary rock slopes in Teloi, Sik, Kedah, by
focusing on the mechanical properties of the rock layers and their susceptibility to …
focusing on the mechanical properties of the rock layers and their susceptibility to …
A Review on Analysis and Mitigation Strategies for Landslide Risk Management: Case studies of Nainital, Satluj Valley, Pipalkoti, Jhakri, Panjpiri in Himalayan Region …
Landslides affecting life and property losses has become a serious threat in various
countries worldwide which highlights the importance of slope stability and mitigation. The …
countries worldwide which highlights the importance of slope stability and mitigation. The …
Improvement of small-scale dolomite mine blast fragmentation efficiency using hybrid artificial intelligence and soft computing approaches—a case study
BO Taiwo - Arabian Journal of Geosciences, 2023 - Springer
Blast fragmentation efficiency prediction can improve blast productivity, but it is capital-
intensive when done with available software. Soft computing models based on artificial …
intensive when done with available software. Soft computing models based on artificial …
Mine induced Airblast prediction: An application of Chaos game optimization based soft computing approaches
Air overpressure, often known as AOp, is one of the unfavourable effects of galena blasting.
It has high damage potential to structural buildings, ecosystem, and occasionally endanger …
It has high damage potential to structural buildings, ecosystem, and occasionally endanger …
[HTML][HTML] 爆破振动在岩质边坡坡面的放大机制研究
陈明， 赵逢泽， 张威， 卢文波， 程豪 - BLASTING, 2024 - opticsjournal.net
摘要岩质边坡坡面的爆破振动放大现象, 影响着边坡爆破振动监测及安全评价的准确性.
采用数值模拟方法, 研究了边坡坡面的振动放大现象, 基于结构动力学原理 …
采用数值模拟方法, 研究了边坡坡面的振动放大现象, 基于结构动力学原理 …