Tangphadungrat Panumat, Hansapinyo Chayanon, Buachart Chinnapat, Suwan Teewara, Limkatanyu Suchart
Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.
Excellence Center in Infrastructure Technology and Transportation Engineering, Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.
Materials (Basel). 2023 Feb 5;16(4):1352. doi: 10.3390/ma16041352.
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 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 R-values. Finally, structural grading of the bamboo is determined.
竹子是一种具有可持续建筑应用潜力的天然材料。然而，竹子承载能力的不确定性导致结构工程设计中的数值不标准。本研究对用于预测竹杆轴向抗压承载能力和强度的指示特性进行了简单线性回归分析和多元线性回归分析，这将为建筑施工中的质量控制和进一步的结构分级提供有用信息。首先，对111个门罗竹杆样本测量了12种基本物理特性，并对竹杆进行了轴向抗压试验。然后，采用皮尔逊相关法分析了物理特性与轴向承载能力和强度（单位面积载荷）之间的相关性。结果表明，线性质量、杆壁厚度、外径、含水率和密度这五个参数与响应（抗压承载能力和抗压强度）具有统计学意义，随后被定义为“指示特性候选参数”。接下来，进行简单线性回归和多元线性回归分析，以建立显著指示特性与响应之间的关系。通过简单线性回归分析，线性质量最适合用作预测最大抗压载荷的指示特性。最大抗压强度与密度密切相关。多元线性回归分析表明，与简单线性回归分析相比，响应预测有了改进，R值更高。最后，确定了竹子的结构分级。
