Decision intelligence-driven predictive modelling of air quality index in surface mining

M Kamran, IM Jiskani, Z Wang, W Zhou - Engineering Applications of …, 2024 - Elsevier
Air pollution emanating from both human activities and natural phenomena, is a pervasive
and critical issue that affects everyone. In mining, particularly concerning is the detrimental …

Algorithmic Geology: Tackling Methodological Challenges in Applying Machine Learning to Rock Engineering

B Yang, LJ Heagy, J Morgenroth, D Elmo - Geosciences, 2024 - mdpi.com
Technological advancements have made rock engineering more data-driven, leading to
increased use of machine learning (ML). While the use of ML in rock engineering has the …

Collapsible characteristics and prediction model of remodeled loess

P Fan, L Zhang, C Shi, Y Zhang, X Ding, H Cheng - Natural Hazards, 2024 - Springer
The construction of the open channel projects in the northern Xinjiang region of China often
involves traveling through vast areas of loess. The apparent collapsibility of loess is a major …

[PDF][PDF] Effective Machine-Learning Models for Rock Mass Deformation Modulus Estimation Based on Rock Mass Classification Systems

M Khajehzadeh, S Keawsawasvong, MR Motahari… - Eng. Sci, 2024 - researchgate.net
The rock mass deformation modulus (RMDM) plays a crucial role in dam and tunnel design.
This study introduces advanced machine-learning (ML) models to predict RMDM using rock …

Analysis of Grain Size Effect on Mechanical Properties of Sandstone with Experimental and Numerical Methods

E Emami Meybodi, F Taajobian - Journal of Mining and …, 2023 - jme.shahroodut.ac.ir
Due to the challenge of finding identical rock samples with varying grain sizes, investigating
the impact of texture on rock material has been given less attention. However, macroscopic …

Examining the reliability of integrating machine learning with rock mass characterization and classification data

B Yang - 2024 - open.library.ubc.ca
The past decade has seen a significant increase in the use of machine learning (ML) in rock
engineering. While ML has the potential to revolutionize rock engineering by increasing …

Measurement of Rock Deformation Parameters-Estimation of Stacked Fusion Model of Young's Modulus

W Chen, Q Lv, F Zheng, Z Huang… - E3S Web of …, 2024 - e3s-conferences.org
Rock Young's modulus is an essential parameter for formation stress characterization and
oil and gas reservoir evaluation work and plays an important role in oil drilling-related …

Investigating the relationship between the chemical, physical, and mechanical properties of the iron blocks of Chagharat Mine, with the D50 value of the comminution …

J Kamali, H Jalalifar… - Journal of Analytical and …, 2024 - anm.yazd.ac.ir
Blasting operation is one of the most important and costly operations in the mining process.
Blasting is the beginning of the rock comminution system in the mine. The dimensions of the …

بررسی ارتباط خواص شیمیایی، فیزیکی و مکانیک سنگی بلوک‌های آهن معدن چغارت، با مقدار D50 دانه‌بندی حاصل از آتشباری

کمالی, جلالی فر, یاراحمدی بافقی - روش های تحلیلی و عددی در مهندسی …, 2024‎ - journals.yazd.ac.ir
عملیات آتشباری یکی از مهمترین و پرهزینه‌ترین عملیات در فرایند معدنکاری است. آتشباری
درواقع، ابتدای سیستم خردایش سنگ در معدن است. همچنین آتشباری تولیدکننده سنگ موردنیاز …