用蒙特卡罗方法确定改善强度性能的最佳石膏组分的经验

K. Moskalova, A. Aniskin
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引用次数: 0

摘要

考虑到现代建筑材料对性能的要求越来越高,有必要扩大建筑材料的范围,改善其多组分组成。基于实验统计模型,分析了在等工作性条件下,水泥-石灰轻质石膏中聚合物和多孔组分(膨胀珍珠岩砂和碳酸盐填料-灰岩-壳岩)对水泥-石灰轻质石膏物理力学性能的影响。物理力学和操作实验的结果证实了使用多孔填料和添加剂来改善最终产品某些特定性能的合理性。所谓的蒙特卡罗方法是用于确定多组分水泥-石灰轻质石膏的最佳组成,基于多元统计建模和属性场的迭代随机扫描。根据计算实验的结果,选择一种既能减少昂贵的混合组分的数量,又能改善所得到的组合物的物理力学特性的组合物。
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EXPERIENCE OF USING THE MONTE-CARLO METHOD IN DETERMINING OPTIMAL PLASTER COMPOSITIONS WITH IMPROVED STRENGTH PROPERTIES
Considering that modern building materials impose increasing performance requirements, it is necessary to expand the range of building materials and improve their multicomponent composition. The effects of polymer and porous components (expanded perlite sand and carbonate filler – limestone-shell rock) in cement-lime light plaster on the physico-mechanical properties of the mixtures under equal workability conditions of mixtures are analyzed based on experimental-statistical modeling. The results of the physico-mechanical and operational experiments confirm the rationality of using porous fillers and additives to improve certain specific properties of the final product. The so-called Monte-Carlo method is implemented for determining an optimal composition of multicomponent cement-lime light plaster, based on multivariate statistical modeling and iterative random scanning of property fields. According to the results of the computational experiment, a composition that reduces the number of expensive mixture components and improves the physical and mechanical characteristics of the resulting composition is selected.
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