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Mathematical modelling to determine the greatest height of trees
This study aimed to analyse the critical height of a column whose weight varies vertically in order to obtain a simple scaling law for a tree where the weight distribution considered. We modelled trees as cantilevers that were fixed to the ground and formulated a self-buckling problem for various we...
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/PMC8821560/ https://www.ncbi.nlm.nih.gov/pubmed/35132088 http://dx.doi.org/10.1038/s41598-022-06041-w |
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author | Kanahama, Tohya Sato, Motohiro |
author_facet | Kanahama, Tohya Sato, Motohiro |
author_sort | Kanahama, Tohya |
collection | PubMed |
description | This study aimed to analyse the critical height of a column whose weight varies vertically in order to obtain a simple scaling law for a tree where the weight distribution considered. We modelled trees as cantilevers that were fixed to the ground and formulated a self-buckling problem for various weight distributions. A formula for calculating the critical height was derived in a simple form that did not include special functions. We obtained a theoretical clarification of the effect of the weight distribution of heavy columns on the buckling behaviour. A widely applicable scaling law for trees was obtained. We found that an actual tree manages to distribute the weight of its trunk and branches along its vertical extent in a manner that adequately secures its critical height. The method and findings of this study are applicable to a wide range of fields, such as the simplification of complicated buckling problems and the study of tree shape quantification. |
format | Online Article Text |
id | pubmed-8821560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88215602022-02-09 Mathematical modelling to determine the greatest height of trees Kanahama, Tohya Sato, Motohiro Sci Rep Article This study aimed to analyse the critical height of a column whose weight varies vertically in order to obtain a simple scaling law for a tree where the weight distribution considered. We modelled trees as cantilevers that were fixed to the ground and formulated a self-buckling problem for various weight distributions. A formula for calculating the critical height was derived in a simple form that did not include special functions. We obtained a theoretical clarification of the effect of the weight distribution of heavy columns on the buckling behaviour. A widely applicable scaling law for trees was obtained. We found that an actual tree manages to distribute the weight of its trunk and branches along its vertical extent in a manner that adequately secures its critical height. The method and findings of this study are applicable to a wide range of fields, such as the simplification of complicated buckling problems and the study of tree shape quantification. Nature Publishing Group UK 2022-02-07 /pmc/articles/PMC8821560/ /pubmed/35132088 http://dx.doi.org/10.1038/s41598-022-06041-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 Kanahama, Tohya Sato, Motohiro Mathematical modelling to determine the greatest height of trees |
title | Mathematical modelling to determine the greatest height of trees |
title_full | Mathematical modelling to determine the greatest height of trees |
title_fullStr | Mathematical modelling to determine the greatest height of trees |
title_full_unstemmed | Mathematical modelling to determine the greatest height of trees |
title_short | Mathematical modelling to determine the greatest height of trees |
title_sort | mathematical modelling to determine the greatest height of trees |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821560/ https://www.ncbi.nlm.nih.gov/pubmed/35132088 http://dx.doi.org/10.1038/s41598-022-06041-w |
work_keys_str_mv | AT kanahamatohya mathematicalmodellingtodeterminethegreatestheightoftrees AT satomotohiro mathematicalmodellingtodeterminethegreatestheightoftrees |