Quartz in Respirable Airborne Dust in Workplaces in Selected Coal and Metal Mines in India

Author(s):  
Anup Kumar Bandopadhyay ◽  
Shobha Kumari
Keyword(s):  
2011 ◽  
Vol 26 ◽  
pp. 1810-1819 ◽  
Author(s):  
Shobha Kumari ◽  
Rawesh Kumar ◽  
Kamlesh Kumar Mishra ◽  
Jai Krishna Pandey ◽  
Gopalakrishnan Nair Udayabhanu ◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Eshani Hettiarachchi ◽  
◽  
Shaylene Paul ◽  
Shaylene Paul ◽  
Milton Das ◽  
...  

2021 ◽  
Vol 11 (11) ◽  
pp. 5208
Author(s):  
Jianpo Liu ◽  
Hongxu Shi ◽  
Ren Wang ◽  
Yingtao Si ◽  
Dengcheng Wei ◽  
...  

The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel failure was performed using a normal cloud model at the Ashele copper mine, China. This was completed by considering the evaluation indexes of geological condition, mining process, and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method to reveal the primary parameters controlling tunnel failure. Additionally, the damage levels of the tunnel were quantitatively assigned by computing the degree of membership that different damage levels had, based on the expectation normalization method. The methods of maximum membership principle, comprehensive evaluation value, and fuzzy entropy were considered to determine the tunnel damage levels and risk of occurrence. The application of this method at the Ashele copper mine demonstrates that it meets the requirement of risk assessment for deep tunnel failure and can provide a basis for large-scale regional tunnel failure control in deep metal mines.


2021 ◽  
Vol 11 (4) ◽  
pp. 1794
Author(s):  
Luke Stone ◽  
Stefan Zigan ◽  
Lahiru L. Lulbadda Waduge ◽  
David B. Hastie

Traditionally, when undertaking feasibility studies for designing new storage facilities such as storage silos, engineers will extract design information from experiments and evaluate potential risks associated with health and safety, suitability design for reliable material flow, and quality of products. The simulation approach applied incorporates Computational Fluid Dynamics (CFD), and Discrete Element Modelling (DEM) approaches and experimental tests will be used for validating these simulation results. One important aspect related to handling fine and dusty materials (particles smaller than 100 microns) is the associated risk of dust explosions, which needs to be evaluated before the commissioning of storage silos; to evaluate the accumulation of fines during the silo filling process, simulations and experiments were conducted. Alumina and salt were used here as reference materials for calibration and the validation purposes. The validation efforts are significant due to the fact that the data that is accessible in simulations is vastly different to the accessible data in experiments, which is restricted by measurement techniques and equipment. Such restrictions are observed in the evaluation of particle concentrations in a large confined volume. A new methodology has been developed to evaluate concentrations in both simulations and experiments by employing a non-dimensional factor [k], here called “Concentration Rank Factor” (CRF). A significant finding of this research is that experiments and simulations can be compared using CRF. It has been found to be within 2% of the experiment averaged value of 0.64.


1993 ◽  
Vol 25 (3) ◽  
pp. 208-213 ◽  
Author(s):  
PAMELA S. A. WOODS ◽  
N. E. ROBINSON ◽  
M. C. SWANSON ◽  
C. E. REED ◽  
R. V. BROADSTONE ◽  
...  

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