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为了研究粉煤灰替代水泥以及不同掺量的聚丙烯纤维和炭黑对ECC的力学性能和自感知性能的影响，采用响应面法(RSM)设计试验，选取粉煤灰(FA)掺量、聚丙烯纤维(PP)掺量和炭黑(CB)掺量这3个变量作为影响因素，以抗压强度(R1)、抗折强度(R2)、劈拉强度(R3)和电阻率变化率(R4)作为响应指标。最后，对4种响应面模型进行了优化，得到了适合实际应用的掺量组合。多优化结果表明：当FA的体积掺量占总胶凝材料的43.19%,PP的体积掺量为1.35%,CB的质量掺量为1.12%时，自感知ECC的材料性能最好。
Abstract：To investigate the effects of using fly ash as a substitute for cement, along with varying amounts of polypropylene fibers and carbon black on the mechanical and self-sensing properties of engineered cementitious composites(ECC),A response surface methodology(RSM) was employed in the experimental design, selecting three variables—fly ash(FA) dosage, polypropylene fibers(PP) dosage, and carbon black(CB) dosage—as influencing factors, while compressive strength(R1),flexural strength(R2),splitting tensile strength(R3) and resistivity rate of change(R4) were used as response indicators.Ultimately, four response surface models were optimized, yielding a suitable combination of proportions for practical application.The optimization results indicated that the best material performance for self-sensing ECC was achieved when the volume fraction of FA was 43% of the total cementitious materials, the volume fraction of PP was 1.35%,and the mass fraction of CB was 1.1%.
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基本信息:
DOI：10.20203/j.cnki.2095-8919.2024.06.005
中图分类号:TU528
引用信息:
[1]田伟,吕校良.基于响应面法的自感知ECC力学与电学性能研究[J].吉林建筑大学学报,2024,41(06):32-39+45.DOI:10.20203/j.cnki.2095-8919.2024.06.005.
基金信息:
吉林省科技厅重点研发项目(20220203048SF)