Computational Fluid Dynamics Analysis of Full-Scale Methane Explosions Compared to Field Testing Results
Peer Reviewed
-
2026/04/11
-
Series: Mining Publications
File Language:
English
Details
-
Journal Article:Mining, Metallurgy & Exploration
-
Personal Author:
-
Description:There is a long and unfortunate history of accidental explosions in underground coal mines in the United States. While safety controls have reduced the potential for methane explosions in the US, there still exists the potential for methane explosions if safe mining conditions are not maintained or an unforeseen accident occurs. Multiple analyses have been completed with various models being developed to help understand the potential impact of methane explosions. This paper establishes a methodology and presents initial results as part of ongoing research and testing to develop and validate a computational fluid dynamics (CFD) model to predict the potential pressures resulting from underground methane explosions. Full-scale field-testing results are compared to current full-scale CFD models to predict, analyze, and test the pressures resulting from underground methane explosions. Results indicate that, although there is some correlation between the established CFD model and field-test results, further improvement and verification of the CFD model remain warranted. Description provided by NIOSH
-
Subjects:
-
Keywords:
-
Source:Min Metall Explor 2026 Apr; :Epub ahead of print
-
Series:
-
ISSN:2524-3462
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Pages in Document:13 pdf pages
-
NIOSHTIC Number:nn:20071613
-
Email:daykin.schnell@uky.edu
-
CAS Registry Number:
-
Federal Fiscal Year:2026
-
Performing Organization:Missouri University of Science and Technology
-
Peer Reviewed:True
-
Start Date:20210901
-
End Date:20250831
-
Download URL:
-
File Type:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:74f84562ca889782b0a860fcc5406afca972174fff5c8e79a35533df01af024ac06c76373bd45ec500168d49de7886015ce2d670c3b5d9ca1def9964069d7a04
File Language:
English
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings, journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like