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基于NSGM(1,3)模型的短切聚丙烯纤维-磷建筑石膏复合材料强度预测

Strength Prediction of Short-cut PP Fiber-Phosphorus Building Gypsum Composites Based on NSGM(1,3) Model

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【作者】 吴磊陶忠赵志曼陶燕张毅刘卓

【Author】 WU Lei;TAO Zhong;ZHAO Zhiman;TAO Yan;ZHANG Yi;LIU Zhuo;Faculty of Civil Engineering and Architecture, Kunming University of Science and Technology;

【通讯作者】 陶忠;

【机构】 昆明理工大学建筑工程学院

【摘要】 为探究短切聚丙烯纤维长度与掺量对短切聚丙烯纤维-磷建筑石膏复合材料强度的影响规律,本文采用均匀试验方案,分析了3 mm、6 mm、9 mm的短切聚丙烯纤维在0%~2.8%的掺量下,复合材料绝干抗折强度、抗压强度的变化情况,并采用NSGM(1,3)模型对复合材料强度进行了建模与预测,结果表明:相同纤维掺量下,随着纤维长度的增加,复合材料的绝干抗折强度和抗压强度均增大;相同纤维长度下,随着纤维掺量的增加,复合材料的绝干抗折强度和抗压强度均呈现先增大后减小的趋势;本文所建立NSGM(1,3)模型可以实现对短切聚丙烯纤维-磷建筑石膏的绝干抗折强度、抗压强度的有效模拟和预测,平均相对模拟误差为1.04%和1.57%,平均相对预测误差为6.80%和7.13%。

【Abstract】 In order to investigate the influence of the length and doping amount of short-cut polypropylene fibers on the strength of short-cut polypropylene fiber-phosphorus gypsum composites, a homogeneous experimental scheme was used to analyze the changes of the adiabatic flexural strength and compressive strength of 3 mm, 6 mm and 9 mm short-cut polypropylene fibers at the doping amounts of 0%—2.8%. The NSGM(1,3)model was used to model and predict the strength of the composites, and the results showed that: with the increase of fiber length, the adiabatic flexural strength and compressive strength of the composites increased with the increase of fiber length at the same fiber doping level; with the increase of fiber doping level, the adiabatic flexural strength and compressive strength of the composites showed a trend of first increasing and then decreasing at the same fiber length; the NSGM(1,3) model established in this paper was used to predict the strength of the composites. The NSGM(1,3) model can achieve the effective simulation and prediction of the dry flexural strength and compressive strength of short-cut polypropylene fiber-phosphorus building gypsum with the average relative simulation error of 1.04% and 1.57%, and the average relative prediction error of6.80% and 7.13%.

【基金】 国家自然科学基金(51662022);云南省科技厅重点研发计划(202003AC100001);云南省科技厅工业高新技术专项(202003AA080032)~~
  • 【分类号】TB332;TQ177.375
  • 【下载频次】244
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