Influence of section and moisture content on the tensile strength parallel to fibers of bamboo culms woody material

Ribeiro, Luiz Henrique Marra da Silva; Aguiar, Lucas Misael de; Nogueira, Ewerton Augusto de Souza; Dias, José Felipe; Beijo, Luiz Alberto

doi:10.1590/1983-40632019v4953562

Cited by 2 publications

(1 citation statement)

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“…Along its height, the moisture content of bamboo decreases from the bottom to the top position, resulting in the highest strength at the top position. The moisture content usually ranges between 10% and 15% and must be kept in this range to optimize the mechanical properties [ 24 ]. The node and internode are unique characteristics of bamboo.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Non-Destructive Indicating Properties for Predicting Compressive Strengths of Dendrocalamus sericeus Munro Bamboo Culms

et al. 2023

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Bamboo is a natural material with the potential for being used in sustainable construction. However, uncertainty in the bearing capacity of the bamboo results in nonstandard values for structural engineering design. This research studied the simple and multiple linear regression analyses for indicating properties to predict the axial compressive load capacity and strength of bamboo culms, which will be useful information for quality control during building construction and further structural grading. First, twelve basic physical properties were measured from 111 samples of Dendrocalamus sericeus Munro bamboo culms, and axial compressive load tests of the bamboo culms were performed. Then, the correlation significance of the physical properties to axial load capacity and strength (load per area) were analyzed by the Pearson correlation method. The results show that five parameters, i.e., linear mass, culm wall thickness, external diameter, moisture content, and density, were statistically significant with the responses (compressive load capacity and compressive strength) and then defined as “candidates for indicating properties”. Next, simple linear and multiple linear regression were analyzed to formulate the relationship between the significant indicating properties and the responses. From the simple linear regression analysis, linear mass can be best used as an indicating property for predicting the maximum compressive load. The maximum compressive strength was well associated with density. The multiple linear regression analysis shows an improvement in the response predictions with respect to the simple linear regression analysis with the higher R2-values. Finally, structural grading of the bamboo is determined.

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Section: Introductionmentioning

confidence: 99%