建筑材料检测中化学分析方法探索  

Exploration of chemical analysis methods in testing of building materials

作　　者：刘洁 LIU Jie

机构地区：[1]新疆西北产品质量检测研究中心(有限公司),新疆乌鲁木齐830000

出　　处：《砖瓦》2025年第3期41-44,共4页Brick-tile

摘　　要：基于多变量回归分析模型,选取建筑材料中氧化硅(SiO₂)、氧化铝(Al₂O₃)、氧化钙(CaO)、氧化镁(MgO)四种关键化学成分,分析其对材料性能的影响。通过仿真模拟和现场监测,得出最佳成分范围:SiO₂为50%~60%,Al₂O₃为15%~20%,CaO为20%~30%,MgO为5%~8%。在该范围内,材料抗压强度达到64MPa,耐久性可延长至55年。现场监测数据与实验室数据的误差小于±0.5%,验证了分析模型的可靠性。研究表明,合理控制成分配比可显著提升材料性能,同时,不同分析技术(如XRF、AAS、TGA)在检测中表现出优异的适用性,为化学分析在建筑材料检测中的应用提供了技术支持和优化方向。Based on the multivariate regression analysis model,four key chemical components of silicon oxide(SiO₂),alumina(Al₂O₃),calcium oxide(CaO)and magnesium oxide(MgO)in building materials were selected to analyze their effects on material properties.Through simulation and on-site monitoring,the optimal composi-tion range is obtained:SiO₂is 50%~60%,Al₂O₃is 15%~20%,CaO is 20%~30%,and MgO is 5%~8%.In this range,the compressive strength of the material reaches 64MPa,and the durability can be extended up to 55 years.The error between the field monitoring data and the laboratory data is less than±0.5%,which verifies the reliability of the analytical model.The results show that reasonable control of the composition ratio can sig-nificantly improve the material performance,and at the same time,different analytical techniques(such as XRF,AAS,TGA)show excellent applicability in the detection,which provides technical support and optimiza-tion direction for the application of chemical analysis in the detection of building materials.

关 键 词：建筑材料检测 化学分析方法 成分仿真模型 材料性能优化 

分 类 号：TU502.5[建筑科学—建筑技术科学]