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PPV distribution of sidewalls induced by underground cavern blasting excavation

The peak particle velocity (PPV) is an important indicator for predicting blasting excavation disturbances. However, the PPV distribution in the deep underground space is significantly different from that on the outdoor ground. Therefore, it is difficult to predict the underground PPV by Sadovsky’s...

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Autores principales: Luo, Yi, Wei, Xiaoqing, Huang, Junhong, Zhang, Guang, Bian, Xing, Li, Xinping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987960/
https://www.ncbi.nlm.nih.gov/pubmed/33758307
http://dx.doi.org/10.1038/s41598-021-86055-y
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author Luo, Yi
Wei, Xiaoqing
Huang, Junhong
Zhang, Guang
Bian, Xing
Li, Xinping
author_facet Luo, Yi
Wei, Xiaoqing
Huang, Junhong
Zhang, Guang
Bian, Xing
Li, Xinping
author_sort Luo, Yi
collection PubMed
description The peak particle velocity (PPV) is an important indicator for predicting blasting excavation disturbances. However, the PPV distribution in the deep underground space is significantly different from that on the outdoor ground. Therefore, it is difficult to predict the underground PPV by Sadovsky’s vibration formula. The PPV sidewall distribution characteristics were studied during site blasting in an underground cavern in the Taohuazui mine in China, and a similar numerical model was used to verify the site test data. We derived a PPV prediction formula for the underground cavern sidewall surrounding rock using a mechanical analysis model of a simply supported plate and beam in combination with dimensional analysis. The model considered derived boundary constraints, comparison with site measured data, the value predicted by Sadovsky’s vibration formula, and numerical simulation results. The results showed that the PPV distribution on the middle 1/3 section of the underground cavern sidewall showed a “platform” or “bulge” different from the curve from Sadovsky’s vibration formula. The PPV amplification coefficient in this section was distributed in a drum shape. The PPV prediction formula for the middle section of the sidewall derived in this paper was highly consistent with the data measured on-site and the numerical simulation results. The mechanical analysis model with a simply supported plate and beam included an underground cavern sidewall length–height ratio of 5 and effectively supplemented the PPV prediction formula for the middle section of the traditional underground cavern sidewall.
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spelling pubmed-79879602021-03-25 PPV distribution of sidewalls induced by underground cavern blasting excavation Luo, Yi Wei, Xiaoqing Huang, Junhong Zhang, Guang Bian, Xing Li, Xinping Sci Rep Article The peak particle velocity (PPV) is an important indicator for predicting blasting excavation disturbances. However, the PPV distribution in the deep underground space is significantly different from that on the outdoor ground. Therefore, it is difficult to predict the underground PPV by Sadovsky’s vibration formula. The PPV sidewall distribution characteristics were studied during site blasting in an underground cavern in the Taohuazui mine in China, and a similar numerical model was used to verify the site test data. We derived a PPV prediction formula for the underground cavern sidewall surrounding rock using a mechanical analysis model of a simply supported plate and beam in combination with dimensional analysis. The model considered derived boundary constraints, comparison with site measured data, the value predicted by Sadovsky’s vibration formula, and numerical simulation results. The results showed that the PPV distribution on the middle 1/3 section of the underground cavern sidewall showed a “platform” or “bulge” different from the curve from Sadovsky’s vibration formula. The PPV amplification coefficient in this section was distributed in a drum shape. The PPV prediction formula for the middle section of the sidewall derived in this paper was highly consistent with the data measured on-site and the numerical simulation results. The mechanical analysis model with a simply supported plate and beam included an underground cavern sidewall length–height ratio of 5 and effectively supplemented the PPV prediction formula for the middle section of the traditional underground cavern sidewall. Nature Publishing Group UK 2021-03-23 /pmc/articles/PMC7987960/ /pubmed/33758307 http://dx.doi.org/10.1038/s41598-021-86055-y Text en © The Author(s) 2021 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/.
spellingShingle Article
Luo, Yi
Wei, Xiaoqing
Huang, Junhong
Zhang, Guang
Bian, Xing
Li, Xinping
PPV distribution of sidewalls induced by underground cavern blasting excavation
title PPV distribution of sidewalls induced by underground cavern blasting excavation
title_full PPV distribution of sidewalls induced by underground cavern blasting excavation
title_fullStr PPV distribution of sidewalls induced by underground cavern blasting excavation
title_full_unstemmed PPV distribution of sidewalls induced by underground cavern blasting excavation
title_short PPV distribution of sidewalls induced by underground cavern blasting excavation
title_sort ppv distribution of sidewalls induced by underground cavern blasting excavation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987960/
https://www.ncbi.nlm.nih.gov/pubmed/33758307
http://dx.doi.org/10.1038/s41598-021-86055-y
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