HUANG Genglang,SHENG Ye,ZHANG Feng,et al.Predicting and Analyzing Effects of Density and Moisture Content on Elastic Modulus Parallel to Grain of Bamboo Scrimber[J].Chinese Journal of Wood Science and Technology,2024,38(02):60-67.
HUANG Genglang,SHENG Ye,ZHANG Feng,et al.Predicting and Analyzing Effects of Density and Moisture Content on Elastic Modulus Parallel to Grain of Bamboo Scrimber[J].Chinese Journal of Wood Science and Technology,2024,38(02):60-67. DOI: 10.12326/j.2096-9694.2023170.
Predicting and Analyzing Effects of Density and Moisture Content on Elastic Modulus Parallel to Grain of Bamboo Scrimber
bamboo scrimber specimens with three densities (1.10
1.20
1.30 g/cm
3
) and five moisture contents (4%
8%
12%
16%
20%) were tested for tensile and compressive elastic modulus parallel to grain. The changes of tensile and compressive elastic modulus parallel to the grain of bamboo scrimber und
er different densities and moisture contents were analyzed. The results showed that the tensile and compressive elastic modulus parallel to the grain of bamboo scrimbers increased with the increase of density. When the moisture contents increase
the tensile and compressive elastic modulus parallel to the grain decrease and then become balanced eventually. Through experiment research and data fitting
a two-parameter coupling model of tensile and compressive elastic modulus of bamboo scrimber was proposed. Both the linear combination model and the ASTM combination model can well predict the theoretical values of tensile and compressive elastic modulus of bamboo scrimber with changes in density and moisture content. The maximum errors between the measured values and the predicted values of tensile and compressive elastic modulus parallel to grain were 5.28%
8.20% for the linear combination model
and 8.91%
8.67% for the ASTM combination model
respectively. The linear combination model is recommended due to its effective calculation process in practical applications.
关键词
重组竹顺纹抗拉、抗压弹性模量密度含水率模型预测
Keywords
bamboo scrimbertensile and compressive elastic modulus parallel to the graindensitymoisture contentmodel prediction
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