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Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel

Real-time mine ventilation network solution is the core way to realize the actual intelligent ventilation, and ventilation friction resistance coefficient is a significant parameter of network solution. With the help of fractal theory to characterize the three-dimensional roughness characteristics o...

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Autores principales: Gao, Ke, Qi, Zhipeng, Liu, Yujiao, Zhang, Jinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873220/
https://www.ncbi.nlm.nih.gov/pubmed/35210506
http://dx.doi.org/10.1038/s41598-022-07115-5
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author Gao, Ke
Qi, Zhipeng
Liu, Yujiao
Zhang, Jinyi
author_facet Gao, Ke
Qi, Zhipeng
Liu, Yujiao
Zhang, Jinyi
author_sort Gao, Ke
collection PubMed
description Real-time mine ventilation network solution is the core way to realize the actual intelligent ventilation, and ventilation friction resistance coefficient is a significant parameter of network solution. With the help of fractal theory to characterize the three-dimensional roughness characteristics of tunnel surrounding rock. A method to describe the roughness by fractal dimension and fractal intercept. We put the fractal dimension and fractal intercept into Matlab to randomly generate three-dimensional laser scanning data of tunnels. The fusion of the two fractal parameters made the three-dimensional roughness surface information more comprehensive. It has been applied to field practice accurately. Compared to the simulation results show that the relative error of the new prediction results is 3%. Comprehensive evaluation analysis shows that the new friction wind resistance formula can fully reflect the influence of three-dimensional rough surfaces on airflow friction resistance. With the help of three-dimensional laser scanning technology, we can calculate the airflow friction resistance of the tunnel quickly and accurately, which provides a reference for the development of key technology and the theory of intelligent ventilation parameter measurement.
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spelling pubmed-88732202022-02-25 Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel Gao, Ke Qi, Zhipeng Liu, Yujiao Zhang, Jinyi Sci Rep Article Real-time mine ventilation network solution is the core way to realize the actual intelligent ventilation, and ventilation friction resistance coefficient is a significant parameter of network solution. With the help of fractal theory to characterize the three-dimensional roughness characteristics of tunnel surrounding rock. A method to describe the roughness by fractal dimension and fractal intercept. We put the fractal dimension and fractal intercept into Matlab to randomly generate three-dimensional laser scanning data of tunnels. The fusion of the two fractal parameters made the three-dimensional roughness surface information more comprehensive. It has been applied to field practice accurately. Compared to the simulation results show that the relative error of the new prediction results is 3%. Comprehensive evaluation analysis shows that the new friction wind resistance formula can fully reflect the influence of three-dimensional rough surfaces on airflow friction resistance. With the help of three-dimensional laser scanning technology, we can calculate the airflow friction resistance of the tunnel quickly and accurately, which provides a reference for the development of key technology and the theory of intelligent ventilation parameter measurement. Nature Publishing Group UK 2022-02-24 /pmc/articles/PMC8873220/ /pubmed/35210506 http://dx.doi.org/10.1038/s41598-022-07115-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gao, Ke
Qi, Zhipeng
Liu, Yujiao
Zhang, Jinyi
Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
title Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
title_full Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
title_fullStr Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
title_full_unstemmed Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
title_short Calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
title_sort calculation model for ventilation friction resistance coefficient by surrounding rock roughness distribution characteristics of mine tunnel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873220/
https://www.ncbi.nlm.nih.gov/pubmed/35210506
http://dx.doi.org/10.1038/s41598-022-07115-5
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