Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain
Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard ABNT NBR (7190) establishes an estimator of the characteristic compressive stren...
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| Format: | Article |
| Language: | English |
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Universidad del Bío-Bío
2020-07-01
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| Series: | Maderas: Ciencia y Tecnología |
| Subjects: | |
| Online Access: | https://revistas.ubiobio.cl/index.php/MCT/article/view/4019 |
| _version_ | 1827381283945185280 |
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| author | André Luis Christoforo Vinicius Borges de Moura Aquino José Silvio Govone Alfredo Manuel Pereira Geraldes Dias Tulio Hallak Panzera Francisco Antonio Rocco Lahr |
| author_facet | André Luis Christoforo Vinicius Borges de Moura Aquino José Silvio Govone Alfredo Manuel Pereira Geraldes Dias Tulio Hallak Panzera Francisco Antonio Rocco Lahr |
| author_sort | André Luis Christoforo |
| collection | DOAJ |
| description |
Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard ABNT NBR (7190) establishes an estimator of the characteristic compressive strength parallel to grain of the wood, which may provide a different result when compared with the characteristic value coming from a suitable probability distribution model. Considering the strength results in the parallel compression to the grain of 45 wood species of the hardwood group, Normal, LogNormal, Weibull and Exponential probability distribution models were used for each specie with the purpose of determining the one with the highest adhesion. Calculated the characteristic values by the best probability model distribution, an analysis of variance (ANOVA) was performed in the estimation of the characteristic value of compressive strength, making it possible to identify the most significant terms of the models as well as the quality of the adjustment obtained on such models. The proposed regression model (R2 adj= 96,56 %) proved to be equivalent to the empirical model of the Brazilian standard. The model proposed here only depends on the mean and the lowest value obtained from the compressive strength in the parallel direction to the grain.
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| first_indexed | 2024-03-08T13:53:57Z |
| format | Article |
| id | doaj.art-2c839e417ffe4badbbbebdcd113dcefa |
| institution | Directory Open Access Journal |
| issn | 0717-3644 0718-221X |
| language | English |
| last_indexed | 2024-03-08T13:53:57Z |
| publishDate | 2020-07-01 |
| publisher | Universidad del Bío-Bío |
| record_format | Article |
| series | Maderas: Ciencia y Tecnología |
| spelling | doaj.art-2c839e417ffe4badbbbebdcd113dcefa2024-01-15T18:24:53ZengUniversidad del Bío-BíoMaderas: Ciencia y Tecnología0717-36440718-221X2020-07-012234019Alternative model to determine the characteristic strength value of wood in the compression parallel to the grainAndré Luis ChristoforoVinicius Borges de Moura AquinoJosé Silvio GovoneAlfredo Manuel Pereira Geraldes DiasTulio Hallak PanzeraFrancisco Antonio Rocco Lahr Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard ABNT NBR (7190) establishes an estimator of the characteristic compressive strength parallel to grain of the wood, which may provide a different result when compared with the characteristic value coming from a suitable probability distribution model. Considering the strength results in the parallel compression to the grain of 45 wood species of the hardwood group, Normal, LogNormal, Weibull and Exponential probability distribution models were used for each specie with the purpose of determining the one with the highest adhesion. Calculated the characteristic values by the best probability model distribution, an analysis of variance (ANOVA) was performed in the estimation of the characteristic value of compressive strength, making it possible to identify the most significant terms of the models as well as the quality of the adjustment obtained on such models. The proposed regression model (R2 adj= 96,56 %) proved to be equivalent to the empirical model of the Brazilian standard. The model proposed here only depends on the mean and the lowest value obtained from the compressive strength in the parallel direction to the grain. https://revistas.ubiobio.cl/index.php/MCT/article/view/4019Characteristic valuemechanical propertiesprobability distributionTabebuia spp., wood |
| spellingShingle | André Luis Christoforo Vinicius Borges de Moura Aquino José Silvio Govone Alfredo Manuel Pereira Geraldes Dias Tulio Hallak Panzera Francisco Antonio Rocco Lahr Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain Maderas: Ciencia y Tecnología Characteristic value mechanical properties probability distribution Tabebuia spp., wood |
| title | Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain |
| title_full | Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain |
| title_fullStr | Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain |
| title_full_unstemmed | Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain |
| title_short | Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain |
| title_sort | alternative model to determine the characteristic strength value of wood in the compression parallel to the grain |
| topic | Characteristic value mechanical properties probability distribution Tabebuia spp., wood |
| url | https://revistas.ubiobio.cl/index.php/MCT/article/view/4019 |
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