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Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative
With the increasing depth of coal mining, the geological stress and structure becomes more and more complex. The elevation of No.8 coal floor significantly undulates in the studied coal mine. Even though a lot of boreholes have been drilled, it remains difficult to predict the spatial distribution f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314374/ https://www.ncbi.nlm.nih.gov/pubmed/35879376 http://dx.doi.org/10.1038/s41598-022-12656-w |
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author | Yang, Zhenwei Xu, Junyi Xu, Zhaofeng Chen, Jiangfeng |
author_facet | Yang, Zhenwei Xu, Junyi Xu, Zhaofeng Chen, Jiangfeng |
author_sort | Yang, Zhenwei |
collection | PubMed |
description | With the increasing depth of coal mining, the geological stress and structure becomes more and more complex. The elevation of No.8 coal floor significantly undulates in the studied coal mine. Even though a lot of boreholes have been drilled, it remains difficult to predict the spatial distribution features and it becomes challenging to plan the tunnel for the working face. Consequently, there has been a great loss of production in the coal mine, therefore, it is of great significance to study the prediction method for coal floor elevation of the working face. The surface spline function can be regarded as an infinite flat plate deformation in pure bending. The fluctuation of the coal floor can be considered to be the result of multi-period tectonic stress applied on the coal seam, so, the prediction of elevation of the coal floor with surface spline method is feasible. An advantage of surface spline method is that any order differentiable smooth surface can be obtained without regular known lattice and boundary derivatives. In the paper, the complete expression of surface spline function is derived, which is used to predict the elevation of No.8 coal floor of the coal mine. The results show that the trend of elevation of the coal floor can be extrapolated by known data, and the maximum error is 20 m, the minimum error is 0 m, and the error of 80% of the data is less than 3 m. The general trend of the coal floor has been predicted well. However, local peaks and valleys could not be predicted correctly, therefore, the first and second order derivative are projected to predict the peaks and valleys in the head of the tunneling. |
format | Online Article Text |
id | pubmed-9314374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93143742022-07-27 Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative Yang, Zhenwei Xu, Junyi Xu, Zhaofeng Chen, Jiangfeng Sci Rep Article With the increasing depth of coal mining, the geological stress and structure becomes more and more complex. The elevation of No.8 coal floor significantly undulates in the studied coal mine. Even though a lot of boreholes have been drilled, it remains difficult to predict the spatial distribution features and it becomes challenging to plan the tunnel for the working face. Consequently, there has been a great loss of production in the coal mine, therefore, it is of great significance to study the prediction method for coal floor elevation of the working face. The surface spline function can be regarded as an infinite flat plate deformation in pure bending. The fluctuation of the coal floor can be considered to be the result of multi-period tectonic stress applied on the coal seam, so, the prediction of elevation of the coal floor with surface spline method is feasible. An advantage of surface spline method is that any order differentiable smooth surface can be obtained without regular known lattice and boundary derivatives. In the paper, the complete expression of surface spline function is derived, which is used to predict the elevation of No.8 coal floor of the coal mine. The results show that the trend of elevation of the coal floor can be extrapolated by known data, and the maximum error is 20 m, the minimum error is 0 m, and the error of 80% of the data is less than 3 m. The general trend of the coal floor has been predicted well. However, local peaks and valleys could not be predicted correctly, therefore, the first and second order derivative are projected to predict the peaks and valleys in the head of the tunneling. Nature Publishing Group UK 2022-07-25 /pmc/articles/PMC9314374/ /pubmed/35879376 http://dx.doi.org/10.1038/s41598-022-12656-w 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 Yang, Zhenwei Xu, Junyi Xu, Zhaofeng Chen, Jiangfeng Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
title | Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
title_full | Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
title_fullStr | Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
title_full_unstemmed | Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
title_short | Prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
title_sort | prediction of elevation of substantial fluctuation in coal seam floor based on surface spline function and its derivative |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314374/ https://www.ncbi.nlm.nih.gov/pubmed/35879376 http://dx.doi.org/10.1038/s41598-022-12656-w |
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