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作 者:崔庚寅 谢浪 陆跃贤 孔德文 王玲玲 CUI Gengyin;XIE Lang;LU Yuexian;KONG Dewen;WANG Lingling(College of Civil Engineering,Guizhou University,Guiyang 550025,China;Guizhou Provincial Key Laboratory of Rock and Soil Mechanics and Engineering Safety,Guiyang 550025,China;Zunyi Tobacco Monopoly Bureau,Zunyi 563099,China)
机构地区:[1]贵州大学土木工程学院,贵州贵阳550025 [2]贵州省岩土力学与工程安全重点实验室,贵州贵阳550025 [3]遵义市烟草专卖局,贵州遵义563099
出 处:《无机盐工业》2023年第8期116-123,共8页Inorganic Chemicals Industry
基 金:国家自然科学基金项目(52168027、51968009、12162009);贵州省科技计划项目([2020]1Y244)。
摘 要:为了探明玄武岩纤维的直径、长度、掺量及其两两交互作用对磷石膏基复合材料力学性能的影响机制并实现其多目标优化,采用Box-Behnken响应面法(RSM)设计实验,并建立了复合材料28 d抗压、抗折强度的多项式回归模型。结果表明,纤维掺量对复合材料力学性能的影响最为显著,而直径与长度的交互作用、长度和掺量的交互作用分别是影响其抗压强度和抗折强度的关键性因素,这主要是源于基体在压缩和弯曲过程中的受力特性和不同参数下纤维在其中所产生的应力效应不同。对纤维参数进行优化得出最优条件:纤维直径为13µm、长度为9.439 mm、纤维质量分数为1.023%,该条件下复合材料抗压、抗折强度分别为31.878、6.347 MPa,模型验证实验相对误差分别为2.02%和5.09%,模型精确度高,拟合效果好,表明RSM可用于纤维增强石膏基复合材料的强度预测和纤维参数优化。In order to explore the influence mechanism of basalt fiber diameter,length,dosage and their interaction on the mechanical properties of phosphogypsum‐based composites(PGCs),and to realize its multi‐objective optimization,a test was designed by Box‐Behnken response surface methodology(RSM),meanwhile,polynomial regression models of 28 d com‐pressive and flexural strength of composites were established.The results showed that the fiber dosage had the most signifi‐cant influence on the mechanical properties of the composites,and the interaction between the diameter and length was the key factor affecting the compressive strength,while the interaction of the length and dosage was the key factor affecting their flexural strength,which was due to the different stress characteristics of the matrix in the process of compression and bend‐ing,as well as the various stress effects of the fibers in it under different parameters.The optimal conditions were obtained by optimizing the fiber parameters:fiber diameter of 13µm,length of 9.439 mm,and fiber mass fraction of 1.023%.Under these conditions,the compressive and flexural strengths of the composites were 31.878 MPa and 6.347 MPa,respectively.The relative errors of the model validation experiments were 2.02%and 5.09%,respectively.The model showed a high accu‐racy and good fitting effect,indicating that RSM could be used to predict the strength and optimize the fiber parameters of fi‐ber reinforced gypsum‐based composites.
分 类 号:TQ177.3[化学工程—硅酸盐工业]
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