Ma Jiale, He Long, Wu Zhixin, Hou Jiarui
Green Building Autonomous Region Key Laboratory of Higher Education, School of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Materials (Basel). 2024 Jul 26;17(15):3703. doi: 10.3390/ma17153703.
The construction industry's high energy consumption and carbon emissions negatively impact the ecological environment; large-scale construction projects consume much energy and emit a significant amount of CO into the atmosphere. Statistics show that 30% of energy loss and 40% of solid waste in the construction industry are generated during construction. Therefore, reducing emissions during construction has significant research potential and value. Many scholars have recently studied eco-friendly building materials to facilitate the use of high-carbon emission materials like cement. Adding fibers to composite materials has become a research hotspot among these studies. Although adding fibers to composite materials has many advantages, it mainly reduces the compressive strength of the composite material. This research used the response surface methodology (RSM) to optimize the raw material ratios and thus improve the performance of plant fiber composite materials. Single-factor experiments were conducted to analyze the effects of grass size, grass content, and quicklime content on the composite materials' compressive strength, flexural strength, and water absorption. The influencing factors and levels for the response surface experiment were determined based on the results of the single-factor analysis. Using the response surface methodology (RSM), a second-order polynomial regression model was established to analyze the interaction effects of the three factors on the composite materials' compressive strength, flexural strength, and water absorption rate. The optimal ratio was determined: the optimized options for grass size, grass content, and quicklime content are 2.0 mm, 8.2 g, and 38 g, respectively. The actual values of compressive strength, flexural strength, and water absorption rate of the composite materials made according to the predicted ratio are 11.425 MPa, 2.145 MPa, and 21.89%, respectively, with a relative error of 8% between the actual and predicted values. X-ray diffraction and scanning electron microscopy were also used to reveal the factors contributing to the relatively high strength of the optimized samples.
建筑业的高能耗和碳排放对生态环境产生负面影响；大型建设项目消耗大量能源并向大气中排放大量二氧化碳。统计数据显示，建筑业30%的能源损失和40%的固体废物是在施工过程中产生的。因此，减少施工期间的排放具有重大的研究潜力和价值。最近，许多学者研究了环保建筑材料，以促进水泥等高碳排放材料的使用。在这些研究中，向复合材料中添加纤维已成为一个研究热点。虽然向复合材料中添加纤维有许多优点，但它主要会降低复合材料的抗压强度。本研究采用响应面法（RSM）优化原材料比例，从而提高植物纤维复合材料的性能。进行单因素实验，分析草的尺寸、草的含量和生石灰含量对复合材料抗压强度、抗弯强度和吸水率的影响。根据单因素分析结果确定响应面实验的影响因素和水平。利用响应面法（RSM）建立二阶多项式回归模型，分析这三个因素对复合材料抗压强度、抗弯强度和吸水率的交互作用。确定了最佳比例：草的尺寸、草的含量和生石灰含量的优化选项分别为2.0毫米、8.2克和38克。根据预测比例制成的复合材料的抗压强度、抗弯强度和吸水率的实际值分别为11.425兆帕、2.145兆帕和21.89%，实际值与预测值之间的相对误差为8%。还使用X射线衍射和扫描电子显微镜揭示优化样品强度相对较高的原因。
