Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/66096 |
Resumo: | Wood has several properties that make it attractive when compared to other materials, however, for its use, it is necessary to know the values of resistance and stiffness. In this sense, the use of non-destructive techniques adds to the process. Among the non-destructive techniques of mechanical evaluation, we highlight those that use the natural frequencies of vibration whose results can be repeated and compared over time. This research aimed to relate the physical and mechanical properties of cajueiro wood [Anacardium sp], with the apparent density and with the natural frequency of the transversal vibration test, through regression models. Twenty-four transverse vibration tests and 204 experimental determinations were performed. Linear regression models were then generated as a function of apparent density and transverse vibration frequency, as well as quadratic multivariable regression models, to estimate wood properties. From the linear regression models, weak correlations were noted between density and natural frequency with the physico-mechanical properties evaluated, resulting in low precision estimates. Regarding the multivariable regression models, quadratic adjusted coefficients of determination (R²aj) higher than 80% were verified for 03 models of the 16 evaluated. |
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Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequencyPropriedades físico-mecânicas da madeira de cajueiro estimadas por métodos não destrutivos com base na densidade aparente e frequência natural de vibraçãoAnacardiumCaracterização da madeiraModelos de regressãoCoeficiente de determinaçãoAnacardiumWood characterizationRegression modelsCoefficient of determinationWood has several properties that make it attractive when compared to other materials, however, for its use, it is necessary to know the values of resistance and stiffness. In this sense, the use of non-destructive techniques adds to the process. Among the non-destructive techniques of mechanical evaluation, we highlight those that use the natural frequencies of vibration whose results can be repeated and compared over time. This research aimed to relate the physical and mechanical properties of cajueiro wood [Anacardium sp], with the apparent density and with the natural frequency of the transversal vibration test, through regression models. Twenty-four transverse vibration tests and 204 experimental determinations were performed. Linear regression models were then generated as a function of apparent density and transverse vibration frequency, as well as quadratic multivariable regression models, to estimate wood properties. From the linear regression models, weak correlations were noted between density and natural frequency with the physico-mechanical properties evaluated, resulting in low precision estimates. Regarding the multivariable regression models, quadratic adjusted coefficients of determination (R²aj) higher than 80% were verified for 03 models of the 16 evaluated.A madeira possui diversas propriedades que a torna atraente frente a outros materiais, entretanto, para sua utilização, com segurança, é necessário o conhecimento dos valores de resistência e elasticidade. Nesse sentido, a utilização de técnicas não destrutivas vem a agregar no processo de avaliação. Entre as técnicas não destrutivas de avaliação mecânica, destacam-se aquelas que utilizam as frequências naturais de vibração cujos resultados podem ser repetidos e comparados ao longo do tempo. Esta pesquisa objetivou relacionar as propriedades físicas e mecânicas da madeira de cajueiro [Anacardium sp], com a densidade aparente e com a frequência natural do ensaio de vibração transversal, por meio de modelos de regressão. Foram realizados 24 ensaios de vibração transversal e mais 204 determinações experimentais. Na sequência, foram gerados modelos de regressão lineares em função da densidade aparente e da frequência de vibração transversal, bem como modelos de regressão multivariáveis quadráticos, de forma a estimar as propriedades das madeiras. Dos modelos de regressão lineares, foram notadas fracas correlações entre a densidade e a frequência natural com as propriedades físico-mecânicas avaliadas, resultando em estimativas de baixa precisão. Em relação aos modelos de regressão multivariáveis, quadráticos foram verificados coeficientes de determinação ajustado (R²aj) superiores a 80 % para 03 modelos dos 16 avaliados.Universidade Federal de Santa Maria2023-11-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6609610.5902/1980509866096Ciência Florestal; Vol. 33 No. 4 (2023): Publicação Contínua; e66096Ciência Florestal; v. 33 n. 4 (2023): Publicação Contínua; e660961980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/cienciaflorestal/article/view/66096/62204Copyright (c) 2023 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Larissa Soriani Zanini Ribeiro SoaresPanzera, Túlio HallakGarcia, Carlos ThomasSilva, Diogo Aparecido LopesLahr, Francisco Antônio RoccoChristoforo, André Luís2024-01-26T18:13:00Zoai:ojs.pkp.sfu.ca:article/66096Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2024-01-26T18:13Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency Propriedades físico-mecânicas da madeira de cajueiro estimadas por métodos não destrutivos com base na densidade aparente e frequência natural de vibração |
title |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency |
spellingShingle |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency Silva, Larissa Soriani Zanini Ribeiro Soares Anacardium Caracterização da madeira Modelos de regressão Coeficiente de determinação Anacardium Wood characterization Regression models Coefficient of determination |
title_short |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency |
title_full |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency |
title_fullStr |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency |
title_full_unstemmed |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency |
title_sort |
Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency |
author |
Silva, Larissa Soriani Zanini Ribeiro Soares |
author_facet |
Silva, Larissa Soriani Zanini Ribeiro Soares Panzera, Túlio Hallak Garcia, Carlos Thomas Silva, Diogo Aparecido Lopes Lahr, Francisco Antônio Rocco Christoforo, André Luís |
author_role |
author |
author2 |
Panzera, Túlio Hallak Garcia, Carlos Thomas Silva, Diogo Aparecido Lopes Lahr, Francisco Antônio Rocco Christoforo, André Luís |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Silva, Larissa Soriani Zanini Ribeiro Soares Panzera, Túlio Hallak Garcia, Carlos Thomas Silva, Diogo Aparecido Lopes Lahr, Francisco Antônio Rocco Christoforo, André Luís |
dc.subject.por.fl_str_mv |
Anacardium Caracterização da madeira Modelos de regressão Coeficiente de determinação Anacardium Wood characterization Regression models Coefficient of determination |
topic |
Anacardium Caracterização da madeira Modelos de regressão Coeficiente de determinação Anacardium Wood characterization Regression models Coefficient of determination |
description |
Wood has several properties that make it attractive when compared to other materials, however, for its use, it is necessary to know the values of resistance and stiffness. In this sense, the use of non-destructive techniques adds to the process. Among the non-destructive techniques of mechanical evaluation, we highlight those that use the natural frequencies of vibration whose results can be repeated and compared over time. This research aimed to relate the physical and mechanical properties of cajueiro wood [Anacardium sp], with the apparent density and with the natural frequency of the transversal vibration test, through regression models. Twenty-four transverse vibration tests and 204 experimental determinations were performed. Linear regression models were then generated as a function of apparent density and transverse vibration frequency, as well as quadratic multivariable regression models, to estimate wood properties. From the linear regression models, weak correlations were noted between density and natural frequency with the physico-mechanical properties evaluated, resulting in low precision estimates. Regarding the multivariable regression models, quadratic adjusted coefficients of determination (R²aj) higher than 80% were verified for 03 models of the 16 evaluated. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/66096 10.5902/1980509866096 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/66096 |
identifier_str_mv |
10.5902/1980509866096 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/66096/62204 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Ciência Florestal http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Ciência Florestal http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 33 No. 4 (2023): Publicação Contínua; e66096 Ciência Florestal; v. 33 n. 4 (2023): Publicação Contínua; e66096 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
_version_ |
1799944135949418496 |