Computational Fluid Dynamics Applied to Mining Engineering: A Review
Abstract
This paper provides a review of computational fluid dynamics (CFD) applications in mining engineering, with particular focus on mine ventilation-related flow problems. The basic principles of CFD are reviewed and six turbulence models commonly used are discussed with some examples of their application and guidelines on choosing an appropriate turbulence model. General modelling procedures are also provided with particular emphasis on mesh independence study and CFD validation methods, which can further improve the accuracy of a model. CFD applications in mining engineering research and design areas are reviewed, which illustrate the success of CFD and highlight challenging issues. It is expected that more CFD research will be carried out to solve problems in mining engineering, and the potential benefits from the simulations are enormous if proper modelling procedures are followed and modern computational approaches are implemented.
Recommended Citation
G. Xu et al., "Computational Fluid Dynamics Applied to Mining Engineering: A Review," International Journal of Mining, Reclamation and Environment, vol. 31, no. 4, pp. 251 - 275, Taylor & Francis, May 2017.
The definitive version is available at https://doi.org/10.1080/17480930.2016.1138570
Department(s)
Mining Engineering
Keywords and Phrases
Fluid dynamics; Mesh generation; Mine ventilation; Mining engineering; Turbulence models; Turbulent flow; Basic principles; CFD applications; Cfd validations; Computational approach; Flow problems; Mesh independence; Potential benefits; Computational fluid dynamics; Accuracy assessment; Computational fluid dynamics; Design; Guideline; Mining; turbulence; Turbulent flow; Ventilation; CFD; Mesh independence study
International Standard Serial Number (ISSN)
1748-0930; 1748-0949
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Taylor & Francis, All rights reserved.
Publication Date
01 May 2017
Comments
This publication was developed under Contract No. 200-2009-31933, awarded by the National Institute for Occupational Safety and Health (NIOSH). The findings and conclusions in this report are those of the authors and do not reflect the official policies of the Department of Health and Human Services; nor does mention of trade names, commercial practices or organisations imply endorsement by the US Government. The authors also would like to acknowledge the partial support from the Excellent Innovative Project fund from China University of Mining and Technology under project no. 2014ZY004.