Quantifying the Thermal Damping Effect in Underground Vertical Shafts Using the Nonlinear Autoregressive with External Input (NARX) Algorithm

Details

• Personal Author:
  Kocsis KC ; Roghanchi P
• Description:
  As air descends the intake shaft, its infrastructure, lining and the strata will emit heat during the night when the intake air is cool and, on the contrary, will absorb heat during the day when the temperature of the air becomes greater than that of the strata. This cyclic phenomenon, also known as the "thermal damping effect" will continue throughout the year reducing the effect of surface air temperature variation. The objective of this paper is to quantify the thermal damping effect in vertical underground airways. A nonlinear autoregressive time series with external input (NARX) algorithm was used as a novel method to predict the dry-bulb temperature (Td) at the bottom of intake shafts as a function of surface air temperature. Analyses demonstrated that the artificial neural network (ANN) model could accurately predict the temperature at the bottom of a shaft. Furthermore, an attempt was made to quantify typical "damping coefficient" for both production and ventilation shafts through simple linear regression models. Comparisons between the collected climatic data and the regression-based predictions show that a simple linear regression model provides an acceptable accuracy when predicting the Td at the bottom of intake shafts. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety Temperature Ventilation
• Keywords:
  Artificial Neural Network Author Keywords: Underground Mining Climatic Conditions Mining Engineering NARX Neural Networks Nonlinear Autoregressive With External Input Temperature Measurement Thermal Damping Effect Thermal Effects Underground Mines Vertical Openings

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• ISSN:
  2095-2686
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  Nevada ; New Mexico ; OSHA Region 6 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  255-262
• Volume:
  29
• Issue:
  2
• NIOSHTIC Number:
  nn:20068893
• Citation:
  Int J Min Sci Technol 2019 Mar; 29(2):255-262
• Contact Point Address:
  Pedram Roghanchi, Mineral Engineering Derpartment, New Mexico Institute of Mining and Technology, Socorro 87801, USA
• Email:
  pedram.roghanchi@nmt.edu
• Federal Fiscal Year:
  2019
• Performing Organization:
  University of Nevada, Reno
• Peer Reviewed:
  True
• Start Date:
  20140901
• Source Full Name:
  International Journal of Mining Science and Technology
• End Date:
  20190831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3cfd23878781410da8a62674a3e0cbf2b09688067d154d9cd60bd89d5135070d2b156ab92b1f6b663dce589420e56345fe5129ccb9e6858cd13669ecb62ce525
• Download URL:
  https://stacks.cdc.gov/view/cdc/207457/cdc_207457_DS1.pdf
• File Type:
  [PDF - 1.10 MB ]